Detail API Response (Raw)
{
"course": {
"id": "0d58f824-491c-48a4-9d0d-fe7ec86e5986",
"cpdFlag": false,
"options": [
{
"id": "c4441da1-f97e-4639-b7f4-cf51d2003277",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "The module details given below are subject to change and are the latest example of the curriculum available on this course of study.\n\nFundamentals for Data Science, Programming for Data Science and Artificial Intelligence, Machine Learning, Big Data Analytics and Visualisation, Ethics, Transparency and Accountability and Project.",
"deadline": null,
"duration": {
"quantity": 2,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "0b746908-cabc-4148-89c1-cb92e49c309c",
"url": null,
"name": "Leeds City Campus",
"ukprn": null,
"address": {
"line1": "1 Trevelyan Square",
"line2": null,
"line3": null,
"line4": "Leeds",
"region": {
"id": "38",
"caption": "Yorkshire and Humberside",
"mappedCaption": "Yorkshire and the Humber"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.7951,
"postcode": "LS1 6HP",
"longitude": -1.5445
},
"isDefault": false,
"geoLocation": {
"latitude": 53.7951,
"longitude": -1.5445
},
"tefCodeType": null,
"locationCode": "B",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.7951,-1.5445&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=zTxacQi9Ip-rNfBqkiYJBfn5XgI=",
"googleMapsParams": "53.7951,-1.5445",
"locationCategory": null,
"geoLocationString": "53.7951,-1.5445"
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "9",
"caption": "Part-time",
"mappedCaption": "Part-time",
"excludedSchemesForApplication": [
"ucas"
]
},
"applyCycle": "2026",
"courseFees": [],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": "https://www.leedstrinity.ac.uk/study/apply/",
"assessmentMethods": "Assessments are based on practical scenarios where you will apply your knowledge of the topics covered to solve defined problems. You will be assessed through a variety of methods, including:\n\nWritten forms, Presentations, Portfolios and Software artifacts",
"entryRequirements": "The following information is designed to give you a general overview of the qualifications we accept. If you are taking qualifications that are not included below, please contact our Admissions Office who will be happy to advise you.\n\nOur MSc programme is open to individuals from all backgrounds, not just computer science graduates. We believe in the power of diverse perspectives and are dedicated to supporting you in pivoting your expertise. Whether you hold an honours degree (minimum 2.2) in a computing-related subject or have equivalent professional experience in the field, or even if your degree is non-STEM, you are welcome to apply to us. We understand that academic qualifications do not define your potential, and we provide opportunities to ensure that everyone, regardless of their background, has the opportunity to apply to study the MSc degree with us.\n\nMinimum English Language entry requirements: IELTS Academic 6.0 (with no less than 5.5 in any component) or equivalent.",
"internalReference": null,
"providerCourseUrl": "https://www.leedstrinity.ac.uk/courses/postgraduate/data-science-and-artificial-intelligence/",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "47246",
"caption": "Master of Science - MSc (PG)",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": null,
"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": "88d87853-4355-419f-9f0a-961b6c8f1647",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "The module details given below are subject to change and are the latest example of the curriculum available on this course of study.\n\nFundamentals for Data Science, Programming for Data Science and Artificial Intelligence, Machine Learning, Big Data Analytics and Visualisation, Ethics, Transparency and Accountability and Project.",
"deadline": null,
"duration": {
"quantity": 16,
"durationType": {
"id": "3",
"caption": "Months",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "0b746908-cabc-4148-89c1-cb92e49c309c",
"url": null,
"name": "Leeds City Campus",
"ukprn": null,
"address": {
"line1": "1 Trevelyan Square",
"line2": null,
"line3": null,
"line4": "Leeds",
"region": {
"id": "38",
"caption": "Yorkshire and Humberside",
"mappedCaption": "Yorkshire and the Humber"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.7951,
"postcode": "LS1 6HP",
"longitude": -1.5445
},
"isDefault": false,
"geoLocation": {
"latitude": 53.7951,
"longitude": -1.5445
},
"tefCodeType": null,
"locationCode": "B",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.7951,-1.5445&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=zTxacQi9Ip-rNfBqkiYJBfn5XgI=",
"googleMapsParams": "53.7951,-1.5445",
"locationCategory": null,
"geoLocationString": "53.7951,-1.5445"
},
"startDate": {
"date": "01/2027",
"nonSpecific": false
},
"studyMode": {
"id": "3",
"caption": "Full-time",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": "https://www.leedstrinity.ac.uk/study/apply/",
"assessmentMethods": "Assessments are based on practical scenarios where you will apply your knowledge of the topics covered to solve defined problems. You will be assessed through a variety of methods, including:\n\nWritten forms, Presentations, Portfolios and Software artifacts",
"entryRequirements": "The following information is designed to give you a general overview of the qualifications we accept. If you are taking qualifications that are not included below, please contact our Admissions Office who will be happy to advise you.\n\nOur MSc programme is open to individuals from all backgrounds, not just computer science graduates. We believe in the power of diverse perspectives and are dedicated to supporting you in pivoting your expertise. Whether you hold an honours degree (minimum 2.2) in a computing-related subject or have equivalent professional experience in the field, or even if your degree is non-STEM, you are welcome to apply to us. We understand that academic qualifications do not define your potential, and we provide opportunities to ensure that everyone, regardless of their background, has the opportunity to apply to study the MSc degree with us.\n\nMinimum English Language entry requirements: IELTS Academic 6.0 (with no less than 5.5 in any component) or equivalent.",
"internalReference": null,
"providerCourseUrl": "https://www.leedstrinity.ac.uk/courses/postgraduate/data-science-and-artificial-intelligence/",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "47246",
"caption": "Master of Science - MSc (PG)",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": null,
"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": "29adb015-d290-4531-808b-bf06eee6720d",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "The module details given below are subject to change and are the latest example of the curriculum available on this course of study.\n\nFundamentals for Data Science, Programming for Data Science and Artificial Intelligence, Machine Learning, Big Data Analytics and Visualisation, Ethics, Transparency and Accountability and Project.",
"deadline": null,
"duration": {
"quantity": 28,
"durationType": {
"id": "3",
"caption": "Months",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "0b746908-cabc-4148-89c1-cb92e49c309c",
"url": null,
"name": "Leeds City Campus",
"ukprn": null,
"address": {
"line1": "1 Trevelyan Square",
"line2": null,
"line3": null,
"line4": "Leeds",
"region": {
"id": "38",
"caption": "Yorkshire and Humberside",
"mappedCaption": "Yorkshire and the Humber"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.7951,
"postcode": "LS1 6HP",
"longitude": -1.5445
},
"isDefault": false,
"geoLocation": {
"latitude": 53.7951,
"longitude": -1.5445
},
"tefCodeType": null,
"locationCode": "B",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.7951,-1.5445&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=zTxacQi9Ip-rNfBqkiYJBfn5XgI=",
"googleMapsParams": "53.7951,-1.5445",
"locationCategory": null,
"geoLocationString": "53.7951,-1.5445"
},
"startDate": {
"date": "01/2027",
"nonSpecific": false
},
"studyMode": {
"id": "34",
"caption": "Full-time with year in industry",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": "https://www.leedstrinity.ac.uk/study/apply/",
"assessmentMethods": "Assessments are based on practical scenarios where you will apply your knowledge of the topics covered to solve defined problems. You will be assessed through a variety of methods, including:\n\nWritten forms, Presentations, Portfolios and Software artifacts",
"entryRequirements": "The following information is designed to give you a general overview of the qualifications we accept. If you are taking qualifications that are not included below, please contact our Admissions Office who will be happy to advise you.\n\nOur MSc programme is open to individuals from all backgrounds, not just computer science graduates. We believe in the power of diverse perspectives and are dedicated to supporting you in pivoting your expertise. Whether you hold an honours degree (minimum 2.2) in a computing-related subject or have equivalent professional experience in the field, or even if your degree is non-STEM, you are welcome to apply to us. We understand that academic qualifications do not define your potential, and we provide opportunities to ensure that everyone, regardless of their background, has the opportunity to apply to study the MSc degree with us.\n\nMinimum English Language entry requirements: IELTS Academic 6.0 (with no less than 5.5 in any component) or equivalent.",
"internalReference": null,
"providerCourseUrl": "https://www.leedstrinity.ac.uk/courses/postgraduate/data-science-and-artificial-intelligence/",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "47246",
"caption": "Master of Science - MSc (PG)",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": null,
"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": "564c6901-7c7d-4e28-9ce4-b25ca9cf9299",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "The module details given below are subject to change and are the latest example of the curriculum available on this course of study.\n\nFundamentals for Data Science, Programming for Data Science and Artificial Intelligence, Machine Learning, Big Data Analytics and Visualisation, Ethics, Transparency and Accountability and Project.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "0b746908-cabc-4148-89c1-cb92e49c309c",
"url": null,
"name": "Leeds City Campus",
"ukprn": null,
"address": {
"line1": "1 Trevelyan Square",
"line2": null,
"line3": null,
"line4": "Leeds",
"region": {
"id": "38",
"caption": "Yorkshire and Humberside",
"mappedCaption": "Yorkshire and the Humber"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.7951,
"postcode": "LS1 6HP",
"longitude": -1.5445
},
"isDefault": false,
"geoLocation": {
"latitude": 53.7951,
"longitude": -1.5445
},
"tefCodeType": null,
"locationCode": "B",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.7951,-1.5445&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=zTxacQi9Ip-rNfBqkiYJBfn5XgI=",
"googleMapsParams": "53.7951,-1.5445",
"locationCategory": null,
"geoLocationString": "53.7951,-1.5445"
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "3",
"caption": "Full-time",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": "https://www.leedstrinity.ac.uk/study/apply/",
"assessmentMethods": "Assessments are based on practical scenarios where you will apply your knowledge of the topics covered to solve defined problems. You will be assessed through a variety of methods, including:\n\nWritten forms, Presentations, Portfolios and Software artifacts",
"entryRequirements": "The following information is designed to give you a general overview of the qualifications we accept. If you are taking qualifications that are not included below, please contact our Admissions Office who will be happy to advise you. The typical entry requirement is an honours degree (minimum 2.2) in a computing-related subject. Alternatively, we will consider applicants with equivalent professional experience in a computing related subject or non STEM degree. \nMinimum English Language entry requirements: IELTS Academic 6.0 (with no less than 5.5 in any component) or equivalent.",
"internalReference": null,
"providerCourseUrl": "https://www.leedstrinity.ac.uk/courses/postgraduate/data-science-and-artificial-intelligence/",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "47246",
"caption": "Master of Science - MSc (PG)",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": null,
"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": "8647bdab-56c0-476e-934d-844919ea714d",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "The module details given below are subject to change and are the latest example of the curriculum available on this course of study.\n\nFundamentals for Data Science, Programming for Data Science and Artificial Intelligence, Machine Learning, Big Data Analytics and Visualisation, Ethics, Transparency and Accountability and Project.",
"deadline": null,
"duration": {
"quantity": 2,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "0b746908-cabc-4148-89c1-cb92e49c309c",
"url": null,
"name": "Leeds City Campus",
"ukprn": null,
"address": {
"line1": "1 Trevelyan Square",
"line2": null,
"line3": null,
"line4": "Leeds",
"region": {
"id": "38",
"caption": "Yorkshire and Humberside",
"mappedCaption": "Yorkshire and the Humber"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.7951,
"postcode": "LS1 6HP",
"longitude": -1.5445
},
"isDefault": false,
"geoLocation": {
"latitude": 53.7951,
"longitude": -1.5445
},
"tefCodeType": null,
"locationCode": "B",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.7951,-1.5445&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=zTxacQi9Ip-rNfBqkiYJBfn5XgI=",
"googleMapsParams": "53.7951,-1.5445",
"locationCategory": null,
"geoLocationString": "53.7951,-1.5445"
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "34",
"caption": "Full-time with year in industry",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": "https://www.leedstrinity.ac.uk/study/apply/",
"assessmentMethods": "Assessments are based on practical scenarios where you will apply your knowledge of the topics covered to solve defined problems. You will be assessed through a variety of methods, including:\n\nWritten forms, Presentations, Portfolios and Software artifacts",
"entryRequirements": "The following information is designed to give you a general overview of the qualifications we accept. If you are taking qualifications that are not included below, please contact our Admissions Office who will be happy to advise you.\n\nOur MSc programme is open to individuals from all backgrounds, not just computer science graduates. We believe in the power of diverse perspectives and are dedicated to supporting you in pivoting your expertise. Whether you hold an honours degree (minimum 2.2) in a computing-related subject or have equivalent professional experience in the field, or even if your degree is non-STEM, you are welcome to apply to us. We understand that academic qualifications do not define your potential, and we provide opportunities to ensure that everyone, regardless of their background, has the opportunity to apply to study the MSc degree with us.\n\nMinimum English Language entry requirements: IELTS Academic 6.0 (with no less than 5.5 in any component) or equivalent.",
"internalReference": null,
"providerCourseUrl": "https://www.leedstrinity.ac.uk/courses/postgraduate/data-science-and-artificial-intelligence/",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "47246",
"caption": "Master of Science - MSc (PG)",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": null,
"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 and Artificial Intelligence. Leeds Trinity University. Computer science. Data analysis. Artificial intelligence",
"summary": "Are you interested in understanding your right to know how and where data is used in the digital era? Do you want to contribute to improving decision-making on critical and complex problems?\n\nIn today's world, we rely increasingly on technologies such as phones, computers, and IoT devices to shop, bank, travel, communicate, socialise, manage and monitor health conditions. As a result, data is being collected at an unprecedented rate, by every industry and organisation, to inform decisions that benefit their business, society, and the environment. This programme aims to create a new generation of accountable and responsible experts in Data Science and AI, reflecting the needs of employers and the skillset and qualities that define proficiency in these fields. Get ready to empower yourself and make a positive impact in the world of data science and AI.\n\nDesigned in collaboration with key stakeholders including students, employers, academics and external advisors, this programme aims to enable you to develop skills of logical, explorative, analytical and critical thinking in intelligent decision support systems.\n\nDelivered by expert lecturers and industry experts with evidence of research within the Data Science and AI field, each module covers essential elements of data and intelligence with increasing complexity of the knowledge and skills you will need to understand in the digital era.\n\nPractical case studies will be explored throughout the course, allowing you to apply your learning to realistic, industry-relevant scenarios and deepen your understanding of key concepts.\n\nYou’ll also have access to equipment and facilities including Cloud Services, MLOps and ML Pipelines, as well as specialised software such as Hadoop and MapReduce, Apache Kafka and Storm and Tableau for big data and data visualisation.\n\nOn successful completion of the MSc Data Science and Artificial Intelligence, you could work in a number of roles, which could include Data Analyst, Strategic Data Insight, AI Developer, AI Data Engineer, Business Intelligence Analyst, ML Engineer or Data Scientist.\n\nThis degree will also prepare you for further study, such as pursuing a PhD.",
"atasFlag": false,
"contacts": [
{
"id": "dfec3e1b-1947-b149-dca9-5478e642f80d",
"fax": "",
"email": "admissions@leedstrinity.ac.uk",
"phone": "0113 283 7123",
"title": "Admissions",
"isDefault": false,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
},
{
"id": "9a028f02-9bb5-4f25-af76-d36e3cf8459e",
"fax": "",
"email": "hello@leedstrinity.ac.uk",
"phone": "0113 283 7150",
"title": "General Enquiries",
"isDefault": false,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": true,
"socialMediaPresences": []
},
{
"id": "0a839e83-e329-4f8e-bfc6-d758ffec1989",
"fax": null,
"email": "clearing@leedstrinity.ac.uk",
"phone": "03300584266",
"title": "Clearing contact detail",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": "http://www.leedstrinity.ac.uk/clearing",
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": [
{
"id": "fb",
"url": "https://www.facebook.com/leedstrinity/",
"caption": "Facebook"
},
{
"id": "ig",
"url": "https://instagram.com/leedstrinity",
"caption": "Instagram"
},
{
"id": "tw",
"url": "https://twitter.com/LeedsTrinity",
"caption": "Twitter"
},
{
"id": "yt",
"url": "https://www.youtube.com/leedstrinity",
"caption": "Youtube"
}
]
}
],
"keywords": null,
"provider": {
"id": "10bb36d7-3ad8-4a90-efc1-d6ce93dc54b8",
"name": "Leeds Trinity University",
"ukprn": 10003863,
"address": {
"line1": "Brownberrie Lane",
"line2": "Horsforth",
"line3": "",
"line4": "Leeds",
"region": {
"id": "38",
"caption": "Yorkshire and Humberside",
"mappedCaption": "Yorkshire and the Humber"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 53.8487802442,
"postcode": "LS18 5HD",
"longitude": -1.647349573
},
"aliases": [],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/10bb36d7-3ad8-4a90-efc1-d6ce93dc54b8",
"aliasName": "Leeds Trinity University",
"websiteUrl": "www.leedstrinity.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "Leeds Trinity University",
"providerUrls": [],
"imageLocation": "silver silver silver-01.png",
"institutionCode": "L24",
"providerShortName": "Leeds Trinity University",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "LETAS",
"aliasNameWithoutApostrophe": "Leeds Trinity University"
},
"subjects": [
{
"id": "1037",
"caption": "Computer science",
"mappedCaption": null
},
{
"id": "2520",
"caption": "Data analysis",
"mappedCaption": null
},
{
"id": "1038",
"caption": "Artificial intelligence",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "8bf996f1-611d-4a0e-882c-c15539568432",
"name": "Computer Science"
},
"hecosCodes": [],
"jacs3Codes": [],
"publishEnd": "9999-12-31T23:59:59.9999999",
"shortTitle": null,
"specialism": {
"primary": [],
"secondary": [],
"specialismStudyTypes": []
},
"visibleEnd": "2027-08-01T08:00:00",
"compositeId": "0d58f824-491c-48a4-9d0d-fe7ec86e5986-2026",
"courseTitle": "Data Science and Artificial Intelligence",
"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": "1041",
"caption": "Leeds Trinity University",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Data Science and Artificial Intelligence",
"abbreviatedTitle": null,
"balanceIndicator": null,
"copyFormRequired": false,
"internalReference": null,
"currentlyInClearing": false,
"ucasTeacherTraining": false,
"degreeApprenticeship": false,
"qualifiedTeacherStatus": null,
"sponsorshipInformation": null,
"internationalInformation": null,
"courseTitleWithoutApostrophe": "Data Science and Artificial Intelligence",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 52,
"academicYearsInformation": {
"2025": 5,
"2026": 5
}
}