Detail API Response (Raw)
{
"course": {
"id": "254cccf0-83ed-48ff-9716-43ed4d7bc110",
"cpdFlag": false,
"options": [
{
"id": "0b01f373-ed22-47de-a255-8aeaa2cb3222",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9b430643-5429-4594-9a0f-b1c2a7096c9f",
"url": null,
"name": "Distance Learning",
"ukprn": null,
"address": {
"line1": "Distance Learning",
"line2": "",
"line3": "",
"line4": "Distance Learning",
"region": {
"id": "40",
"caption": "[None Specified]",
"mappedCaption": null
},
"country": {
"id": "599",
"caption": "Unknown",
"mappedCaption": null
},
"latitude": null,
"postcode": "",
"longitude": null
},
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": "1",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.3728628312,-1.4658524529&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=NMUTmwpCPSoYrJxRFhx05tJRTLg=",
"googleMapsParams": "52.3728628312,-1.4658524529",
"locationCategory": null,
"geoLocationString": null
},
"startDate": {
"date": "07/2027",
"nonSpecific": false
},
"studyMode": {
"id": "2",
"caption": "Distance learning",
"mappedCaption": "Distance learning",
"excludedSchemesForApplication": [
"ucas"
]
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
},
{
"amount": 10550,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 10550,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "£7,500 if you are eligible for the PG Merit Scholarship",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "51df8931-718c-4956-969a-7de3a3b6521b",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9b430643-5429-4594-9a0f-b1c2a7096c9f",
"url": null,
"name": "Distance Learning",
"ukprn": null,
"address": {
"line1": "Distance Learning",
"line2": "",
"line3": "",
"line4": "Distance Learning",
"region": {
"id": "40",
"caption": "[None Specified]",
"mappedCaption": null
},
"country": {
"id": "599",
"caption": "Unknown",
"mappedCaption": null
},
"latitude": null,
"postcode": "",
"longitude": null
},
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": "1",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.3728628312,-1.4658524529&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=NMUTmwpCPSoYrJxRFhx05tJRTLg=",
"googleMapsParams": "52.3728628312,-1.4658524529",
"locationCategory": null,
"geoLocationString": null
},
"startDate": {
"date": "10/2026",
"nonSpecific": false
},
"studyMode": {
"id": "2",
"caption": "Distance learning",
"mappedCaption": "Distance learning",
"excludedSchemesForApplication": [
"ucas"
]
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
},
{
"amount": 10550,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 10550,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "£7,500 if you are eligible for the PG Merit Scholarship",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "c15777df-3a5d-4b40-93f7-417d2efa5bcb",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9b430643-5429-4594-9a0f-b1c2a7096c9f",
"url": null,
"name": "Distance Learning",
"ukprn": null,
"address": {
"line1": "Distance Learning",
"line2": "",
"line3": "",
"line4": "Distance Learning",
"region": {
"id": "40",
"caption": "[None Specified]",
"mappedCaption": null
},
"country": {
"id": "599",
"caption": "Unknown",
"mappedCaption": null
},
"latitude": null,
"postcode": "",
"longitude": null
},
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": "1",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.3728628312,-1.4658524529&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=NMUTmwpCPSoYrJxRFhx05tJRTLg=",
"googleMapsParams": "52.3728628312,-1.4658524529",
"locationCategory": null,
"geoLocationString": null
},
"startDate": {
"date": "01/2027",
"nonSpecific": false
},
"studyMode": {
"id": "2",
"caption": "Distance learning",
"mappedCaption": "Distance learning",
"excludedSchemesForApplication": [
"ucas"
]
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
},
{
"amount": 10550,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 10550,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "£7,500 if you are eligible for the PG Merit Scholarship",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "123ef312-e4ea-4974-8391-d302464a4cf9",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "a56fb67e-0dce-49df-9090-a3f267c31cc7",
"url": null,
"name": "Berlin Campus",
"ukprn": null,
"address": {
"line1": "University of Applied Sciences Europe",
"line2": "Dessauer Str. 3-5",
"line3": null,
"line4": "Berlin",
"region": {
"id": "39",
"caption": "Non-UK",
"mappedCaption": "Outside the Uk"
},
"country": {
"id": "656",
"caption": "Germany",
"mappedCaption": "Outside the Uk"
},
"latitude": null,
"postcode": "10963",
"longitude": null
},
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7CUniversity%20of%20Applied%20Sciences%20Europe,10963,Berlin%20Campus&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=pOqEE9jaJqsbCkhKyjnLKmVa9KM=",
"googleMapsParams": "University of Applied Sciences Europe,10963,Berlin Campus",
"locationCategory": {
"id": "10001",
"caption": "Campus",
"mappedCaption": null
},
"geoLocationString": null
},
"startDate": {
"date": "11/2026",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "1",
"caption": "Credit",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "1",
"caption": "Credit",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "1",
"caption": "Credit",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "1",
"caption": "Credit",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "1",
"caption": "Credit",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "1",
"caption": "Credit",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "3e5678b5-b709-4e9e-b1fa-d726816ca15b",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9b430643-5429-4594-9a0f-b1c2a7096c9f",
"url": null,
"name": "Distance Learning",
"ukprn": null,
"address": {
"line1": "Distance Learning",
"line2": "",
"line3": "",
"line4": "Distance Learning",
"region": {
"id": "40",
"caption": "[None Specified]",
"mappedCaption": null
},
"country": {
"id": "599",
"caption": "Unknown",
"mappedCaption": null
},
"latitude": null,
"postcode": "",
"longitude": null
},
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": "1",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.3728628312,-1.4658524529&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=NMUTmwpCPSoYrJxRFhx05tJRTLg=",
"googleMapsParams": "52.3728628312,-1.4658524529",
"locationCategory": null,
"geoLocationString": null
},
"startDate": {
"date": "04/2027",
"nonSpecific": false
},
"studyMode": {
"id": "2",
"caption": "Distance learning",
"mappedCaption": "Distance learning",
"excludedSchemesForApplication": [
"ucas"
]
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9500,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
},
{
"amount": 10550,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 10550,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "£7,500 if you are eligible for the PG Merit Scholarship",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "67bfdad7-744e-47d2-ab7e-0bd853506d14",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "a56fb67e-0dce-49df-9090-a3f267c31cc7",
"url": null,
"name": "Berlin Campus",
"ukprn": null,
"address": {
"line1": "University of Applied Sciences Europe",
"line2": "Dessauer Str. 3-5",
"line3": null,
"line4": "Berlin",
"region": {
"id": "39",
"caption": "Non-UK",
"mappedCaption": "Outside the Uk"
},
"country": {
"id": "656",
"caption": "Germany",
"mappedCaption": "Outside the Uk"
},
"latitude": null,
"postcode": "10963",
"longitude": null
},
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7CUniversity%20of%20Applied%20Sciences%20Europe,10963,Berlin%20Campus&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=pOqEE9jaJqsbCkhKyjnLKmVa9KM=",
"googleMapsParams": "University of Applied Sciences Europe,10963,Berlin Campus",
"locationCategory": {
"id": "10001",
"caption": "Campus",
"mappedCaption": null
},
"geoLocationString": null
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "312d7396-cf4b-468e-ac7a-e29cb0f4bf15",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "a56fb67e-0dce-49df-9090-a3f267c31cc7",
"url": null,
"name": "Berlin Campus",
"ukprn": null,
"address": {
"line1": "University of Applied Sciences Europe",
"line2": "Dessauer Str. 3-5",
"line3": null,
"line4": "Berlin",
"region": {
"id": "39",
"caption": "Non-UK",
"mappedCaption": "Outside the Uk"
},
"country": {
"id": "656",
"caption": "Germany",
"mappedCaption": "Outside the Uk"
},
"latitude": null,
"postcode": "10963",
"longitude": null
},
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7CUniversity%20of%20Applied%20Sciences%20Europe,10963,Berlin%20Campus&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=pOqEE9jaJqsbCkhKyjnLKmVa9KM=",
"googleMapsParams": "University of Applied Sciences Europe,10963,Berlin Campus",
"locationCategory": {
"id": "10001",
"caption": "Campus",
"mappedCaption": null
},
"geoLocationString": null
},
"startDate": {
"date": "02/2027",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "b38977a8-5565-48a8-9fe4-92af5d88fb1a",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "a56fb67e-0dce-49df-9090-a3f267c31cc7",
"url": null,
"name": "Berlin Campus",
"ukprn": null,
"address": {
"line1": "University of Applied Sciences Europe",
"line2": "Dessauer Str. 3-5",
"line3": null,
"line4": "Berlin",
"region": {
"id": "39",
"caption": "Non-UK",
"mappedCaption": "Outside the Uk"
},
"country": {
"id": "656",
"caption": "Germany",
"mappedCaption": "Outside the Uk"
},
"latitude": null,
"postcode": "10963",
"longitude": null
},
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7CUniversity%20of%20Applied%20Sciences%20Europe,10963,Berlin%20Campus&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=pOqEE9jaJqsbCkhKyjnLKmVa9KM=",
"googleMapsParams": "University of Applied Sciences Europe,10963,Berlin Campus",
"locationCategory": {
"id": "10001",
"caption": "Campus",
"mappedCaption": null
},
"geoLocationString": null
},
"startDate": {
"date": "05/2027",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 15000,
"currency": {
"id": "EUR",
"caption": "€",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "aea52a75-2275-4f49-b4ef-1a918d6151aa",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "848c194c-60aa-4d1d-9180-0cff8b19c14e",
"url": null,
"name": "London Stratford",
"ukprn": null,
"address": {
"line1": "Turning building",
"line2": "3 Westfield Ave",
"line3": "Stratford Cross",
"line4": "London",
"region": {
"id": "42",
"caption": "Greater London",
"mappedCaption": "Greater London"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 51.5425,
"postcode": "E20 1HZ",
"longitude": -0.0114
},
"isDefault": false,
"geoLocation": {
"latitude": 51.5425,
"longitude": -0.0114
},
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.5425,-0.0114&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=BFdgr5bqINMTVadPscOG-w2YVEM=",
"googleMapsParams": "51.5425,-0.0114",
"locationCategory": {
"id": "10001",
"caption": "Campus",
"mappedCaption": null
},
"geoLocationString": "51.5425,-0.0114"
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All other PG Eligible programmes: £7,450 with our Postgraduate Blended Learning Offer",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "e7923abf-ead1-4253-a42b-99c886c1b297",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "848c194c-60aa-4d1d-9180-0cff8b19c14e",
"url": null,
"name": "London Stratford",
"ukprn": null,
"address": {
"line1": "Turning building",
"line2": "3 Westfield Ave",
"line3": "Stratford Cross",
"line4": "London",
"region": {
"id": "42",
"caption": "Greater London",
"mappedCaption": "Greater London"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 51.5425,
"postcode": "E20 1HZ",
"longitude": -0.0114
},
"isDefault": false,
"geoLocation": {
"latitude": 51.5425,
"longitude": -0.0114
},
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.5425,-0.0114&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=BFdgr5bqINMTVadPscOG-w2YVEM=",
"googleMapsParams": "51.5425,-0.0114",
"locationCategory": {
"id": "10001",
"caption": "Campus",
"mappedCaption": null
},
"geoLocationString": "51.5425,-0.0114"
},
"startDate": {
"date": "11/2026",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All other PG Eligible programmes: £7,450 with our Postgraduate Blended Learning Offer",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "432ecf66-663a-47e7-9e9d-45eb084b5bac",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "848c194c-60aa-4d1d-9180-0cff8b19c14e",
"url": null,
"name": "London Stratford",
"ukprn": null,
"address": {
"line1": "Turning building",
"line2": "3 Westfield Ave",
"line3": "Stratford Cross",
"line4": "London",
"region": {
"id": "42",
"caption": "Greater London",
"mappedCaption": "Greater London"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 51.5425,
"postcode": "E20 1HZ",
"longitude": -0.0114
},
"isDefault": false,
"geoLocation": {
"latitude": 51.5425,
"longitude": -0.0114
},
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.5425,-0.0114&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=BFdgr5bqINMTVadPscOG-w2YVEM=",
"googleMapsParams": "51.5425,-0.0114",
"locationCategory": {
"id": "10001",
"caption": "Campus",
"mappedCaption": null
},
"geoLocationString": "51.5425,-0.0114"
},
"startDate": {
"date": "02/2027",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All other PG Eligible programmes: £7,450 with our Postgraduate Blended Learning Offer",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "d99963af-1b97-42dd-8a31-65883f173582",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "848c194c-60aa-4d1d-9180-0cff8b19c14e",
"url": null,
"name": "London Stratford",
"ukprn": null,
"address": {
"line1": "Turning building",
"line2": "3 Westfield Ave",
"line3": "Stratford Cross",
"line4": "London",
"region": {
"id": "42",
"caption": "Greater London",
"mappedCaption": "Greater London"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 51.5425,
"postcode": "E20 1HZ",
"longitude": -0.0114
},
"isDefault": false,
"geoLocation": {
"latitude": 51.5425,
"longitude": -0.0114
},
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.5425,-0.0114&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=BFdgr5bqINMTVadPscOG-w2YVEM=",
"googleMapsParams": "51.5425,-0.0114",
"locationCategory": {
"id": "10001",
"caption": "Campus",
"mappedCaption": null
},
"geoLocationString": "51.5425,-0.0114"
},
"startDate": {
"date": "05/2027",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All other PG Eligible programmes: £7,450 with our Postgraduate Blended Learning Offer",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "324f1c95-f95e-46ac-8269-7b4b8a799cb7",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "edffe417-14f7-4996-9297-6ee048fc7e82",
"url": null,
"name": "Manchester Study Centre",
"ukprn": null,
"address": {
"line1": "Linley House,",
"line2": "Dickinson Street",
"line3": null,
"line4": "Manchester",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.4761720765,
"postcode": "M1 4LF",
"longitude": -2.2406365296
},
"isDefault": false,
"geoLocation": {
"latitude": 53.4761720765,
"longitude": -2.2406365296
},
"tefCodeType": null,
"locationCode": "M",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.4761720765,-2.2406365296&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=fa8a44pnwJhx3R4xbQnKB6LI9-U=",
"googleMapsParams": "53.4761720765,-2.2406365296",
"locationCategory": null,
"geoLocationString": "53.4761720765,-2.2406365296"
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All other PG Eligible programmes: £7,450 with our Postgraduate Blended Learning Offer",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "2b4b60c0-9e7a-46b4-b8cf-910ccff47cef",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "edffe417-14f7-4996-9297-6ee048fc7e82",
"url": null,
"name": "Manchester Study Centre",
"ukprn": null,
"address": {
"line1": "Linley House,",
"line2": "Dickinson Street",
"line3": null,
"line4": "Manchester",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.4761720765,
"postcode": "M1 4LF",
"longitude": -2.2406365296
},
"isDefault": false,
"geoLocation": {
"latitude": 53.4761720765,
"longitude": -2.2406365296
},
"tefCodeType": null,
"locationCode": "M",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.4761720765,-2.2406365296&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=fa8a44pnwJhx3R4xbQnKB6LI9-U=",
"googleMapsParams": "53.4761720765,-2.2406365296",
"locationCategory": null,
"geoLocationString": "53.4761720765,-2.2406365296"
},
"startDate": {
"date": "11/2026",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All other PG Eligible programmes: £7,450 with our Postgraduate Blended Learning Offer",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "467e9c8b-5b0e-4aaf-9c38-68de5a8a62d3",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "edffe417-14f7-4996-9297-6ee048fc7e82",
"url": null,
"name": "Manchester Study Centre",
"ukprn": null,
"address": {
"line1": "Linley House,",
"line2": "Dickinson Street",
"line3": null,
"line4": "Manchester",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.4761720765,
"postcode": "M1 4LF",
"longitude": -2.2406365296
},
"isDefault": false,
"geoLocation": {
"latitude": 53.4761720765,
"longitude": -2.2406365296
},
"tefCodeType": null,
"locationCode": "M",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.4761720765,-2.2406365296&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=fa8a44pnwJhx3R4xbQnKB6LI9-U=",
"googleMapsParams": "53.4761720765,-2.2406365296",
"locationCategory": null,
"geoLocationString": "53.4761720765,-2.2406365296"
},
"startDate": {
"date": "02/2027",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All other PG Eligible programmes: £7,450 with our Postgraduate Blended Learning Offer",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
},
{
"id": "9986eb96-ace1-49e2-8ab0-386bbe4159df",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Programming for Data Science (20 credits)\nMathematics for Data Science (20 credits)\nBig Data and Cloud Computing (20 credits)\nMachine Learning (20 credits)\nArtificial Intelligence and Neural Networks (20 credits)\nData Visualisation (20 credits)\nAdvanced Computing Project (60 credits)",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "edffe417-14f7-4996-9297-6ee048fc7e82",
"url": null,
"name": "Manchester Study Centre",
"ukprn": null,
"address": {
"line1": "Linley House,",
"line2": "Dickinson Street",
"line3": null,
"line4": "Manchester",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.4761720765,
"postcode": "M1 4LF",
"longitude": -2.2406365296
},
"isDefault": false,
"geoLocation": {
"latitude": 53.4761720765,
"longitude": -2.2406365296
},
"tefCodeType": null,
"locationCode": "M",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.4761720765,-2.2406365296&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=fa8a44pnwJhx3R4xbQnKB6LI9-U=",
"googleMapsParams": "53.4761720765,-2.2406365296",
"locationCategory": null,
"geoLocationString": "53.4761720765,-2.2406365296"
},
"startDate": {
"date": "05/2027",
"nonSpecific": false
},
"studyMode": {
"id": "36",
"caption": "Blended learning (full-time)",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "3",
"caption": "EU",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "4",
"caption": "International",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "5",
"caption": "England",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "6",
"caption": "Northern Ireland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "7",
"caption": "Scotland",
"mappedCaption": null
}
},
{
"amount": 9950,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "8",
"caption": "Wales",
"mappedCaption": null
}
}
],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": null,
"assessmentMethods": "The way we assess our masters students provides you with the opportunity to demonstrate your strengths and abilities. That’s why we choose a range of methods to keep track of your progress. These include:\n\nPortfolio development\nCase study reports\nRisk assessments\nBusiness Transformation Project",
"entryRequirements": "Standard entry requirements:\n\nA 2.2 Honours degree, or equivalent, in a numerate subject (majority of it would need to be maths based. Examples include maths, finance, computing, science, engineering. \nTypical non-standard entry requirements:\n\nA minimum of 3 - 5 years of relevant work experience within a data environment, or equivalent.\nType of relevant work experience: \n\nMaths, finance, engineering, science, data analysis etc. Need to have worked with maths and or data analysis in their current role to be eligible. Not just using basic level Excel (Power Query excel experience may be accepted), but heavily data based where they can evidence a strong Mathematics starting point to do this degree.",
"internalReference": null,
"providerCourseUrl": "https://arden.ac.uk/our-courses/postgraduate/masters/msc-data-science/?utm_source=affiliate&utm_medium=CDP&utm_campaign=UCAS",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All other PG Eligible programmes: £7,450 with our Postgraduate Blended Learning Offer",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [],
"minimumAcademicEntryRequirements": null,
"subsequentYearsEntryRequirements": null,
"amsApplicationConfigurationOptions": {
"useAscii": false,
"hasNoVacancies": "False",
"customQuestions": [],
"vacancyStatuses": [
{
"status": null,
"domicile": "eu",
"hasVacancies": true,
"flattenedVacancy": "eu"
},
{
"status": null,
"domicile": "wales",
"hasVacancies": true,
"flattenedVacancy": "wales"
},
{
"status": null,
"domicile": "eng",
"hasVacancies": true,
"flattenedVacancy": "eng"
},
{
"status": null,
"domicile": "int",
"hasVacancies": true,
"flattenedVacancy": "int"
},
{
"status": null,
"domicile": "scot",
"hasVacancies": true,
"flattenedVacancy": "scot"
},
{
"status": null,
"domicile": "ni",
"hasVacancies": true,
"flattenedVacancy": "ni"
},
{
"status": null,
"domicile": "roi",
"hasVacancies": true,
"flattenedVacancy": "roi"
}
],
"hasRestrictedVacancies": "False",
"hasRestrictedEligibility": false,
"restrictedEligibilityUrl": null,
"restrictedEligibilityInfo": null,
"useEnhancedCriminalConvictionCheck": false,
"notAcceptingInternationalApplications": "False"
},
"englishLanguageEntryRequirementInformation": null
}
],
"suggest": "Data Science. Arden University. Data analysis",
"summary": "**Are you ready to launch or accelerate your career in data science and AI? The demand for qualified data scientists far exceeds the current supply, and the industry faces a significant global skills gap. Our online MSc Data Science programme is designed to bridge this gap by providing you with the relevant practical skills and expertise needed to excel in data-related roles, giving you a pathway to establishing a fulfilling and potentially lucrative career.**\n\n**What you'll learn**\n\nOur data science degree covers everything from fundamental mathematical concepts to advanced topics like artificial intelligence, machine learning, deep learning, and cloud computing. You'll master essential tools and programming languages such as Python, in addition to gaining proficiency in software tools like Jupyter Notebooks and Tableau.\n\nYou’ll also tackle real-world scenarios through our programme's individual modules. Whether you're exploring the ethical and legal constraints of data science or delving into the intricacies of machine learning and deep learning, you'll be immersed in practical applications. Our \"Learn by Doing\" philosophy ensures you can apply your knowledge to make meaningful business decisions using real data sets.\n\nUltimately, you'll gain genuine insight into how data science operates, from data gathering and processing to analysis for operational and strategic purposes -- developing a strong understanding of the ethical and legal considerations that shape the role of data science professionals.",
"atasFlag": false,
"contacts": [
{
"id": "774b4121-c0bd-8b2d-29a5-e98f11ae2ab8",
"fax": "",
"email": "enquiries@arden.ac.uk",
"phone": "024 7651 5700",
"title": "Admissions Team",
"isDefault": true,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
},
{
"id": "947c614c-c0fe-4b95-92cc-a83a4c06b505",
"fax": null,
"email": "clearing@arden.ac.uk",
"phone": "0208 003 6088",
"title": "Clearing Contact Details",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
}
],
"keywords": null,
"provider": {
"id": "8554563c-d2bb-4bc5-b0eb-e05c7ec741fc",
"name": "Arden University",
"ukprn": 10005451,
"address": {
"line1": "Arden House",
"line2": "Middlemarch Park",
"line3": "",
"line4": "Coventry",
"region": {
"id": "35",
"caption": "West Midlands",
"mappedCaption": "West Midlands"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 52.3728628312,
"postcode": "CV3 4FJ",
"longitude": -1.4658524529
},
"aliases": [
"RDI"
],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/8554563c-d2bb-4bc5-b0eb-e05c7ec741fc",
"aliasName": "Arden University (RDI)",
"websiteUrl": "www.arden.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "Arden University",
"providerUrls": [],
"imageLocation": "RI RI RI-01.png",
"institutionCode": "R25",
"providerShortName": "Arden University",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "RDINT",
"aliasNameWithoutApostrophe": "Arden University (RDI)"
},
"subjects": [
{
"id": "2520",
"caption": "Data analysis",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "f5c5c8bc-10c3-4715-81bc-0c0ed10a85af",
"name": "Data Analytics"
},
"hecosCodes": [
{
"hecosCode": {
"code": "100089",
"caption": "management studies",
"refDataId": "10038"
},
"percentageOfCourse": 100
}
],
"jacs3Codes": [],
"publishEnd": "9999-12-31T23:59:59.9999999",
"shortTitle": null,
"specialism": {
"primary": [],
"secondary": [],
"specialismStudyTypes": []
},
"visibleEnd": "2027-08-01T08:00:00",
"compositeId": "254cccf0-83ed-48ff-9716-43ed4d7bc110-2026",
"courseTitle": "Data Science",
"facultyCode": null,
"routingData": {
"scheme": {
"id": "none",
"caption": "Direct application only",
"mappedCaption": null
},
"destination": {
"id": "pg",
"caption": "Postgraduate",
"mappedCaption": null
}
},
"availableEnd": "9999-12-31T23:59:59.9999999",
"englishTitle": "",
"publishStart": "0001-01-01T00:00:00",
"visibleStart": "2025-04-29T08:00:00",
"taughtInWelsh": false,
"ucasApplyData": null,
"academicYearId": "2026",
"availableStart": "0001-01-01T00:00:00",
"awardingBodies": [
{
"id": "5718",
"caption": "Arden University",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Data Science",
"abbreviatedTitle": null,
"balanceIndicator": null,
"copyFormRequired": false,
"internalReference": null,
"currentlyInClearing": false,
"ucasTeacherTraining": false,
"degreeApprenticeship": false,
"qualifiedTeacherStatus": null,
"sponsorshipInformation": null,
"internationalInformation": null,
"courseTitleWithoutApostrophe": "Data Science",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 46,
"academicYearsInformation": {
"2025": 16,
"2026": 16
}
}