Detail API Response (Raw)
{
"course": {
"id": "0a9fdfb5-b110-d900-f4bd-922f2ce0dddb",
"cpdFlag": false,
"options": [
{
"id": "dc244ca4-bd64-47b9-9dfb-6c3990d31ba8",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "1. Machine Learning and Statistical modelling (30 credits)\n2. Deep Learning and Computer Vision (30 credits)\n3. The Data Science Professional (30 credits)\n4. Generative AI and Reinforcement Learning (30 credits)\n5. Individual Research Project (60 credits)\n\nFor complete and up-to-date information, please view our website.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9c340a75-27d4-4dba-8fde-be5e5f1de127",
"url": null,
"name": "Coventry University",
"ukprn": null,
"address": {
"line1": "Priory Street",
"line2": "",
"line3": null,
"line4": "Coventry",
"region": {
"id": "35",
"caption": "West Midlands",
"mappedCaption": "West Midlands"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 52.4053141389,
"postcode": "CV1 5FB",
"longitude": -1.5000631116
},
"isDefault": false,
"geoLocation": {
"latitude": 52.4053141389,
"longitude": -1.5000631116
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.4053141389,-1.5000631116&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=RnKg2igy2gl2gDjwSI_qXOwrM2c=",
"googleMapsParams": "52.4053141389,-1.5000631116",
"locationCategory": {
"id": "10000",
"caption": "Main Site",
"mappedCaption": null
},
"geoLocationString": "52.4053141389,-1.5000631116"
},
"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.coventry.ac.uk/study-at-coventry/apply-now/postgraduate/",
"assessmentMethods": "This course will be assessed using a variety of methods which will could vary depending upon the module. Assessment methods include coursework, essays, project, group work and formal examination.\n\nThe Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes. Assessments may include exams, individual assignments or group work elements.",
"entryRequirements": "Applicants for this programme will normally be expected to possess a minimum of a second class honours degree in computer science, mathematics or other relevant discipline.\n\nWe recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.",
"internalReference": "EECT044",
"providerCourseUrl": "https://www.coventry.ac.uk/course-structure/pg/ees/data-science-and-computational-intelligence-msc/?term=2026-27",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "Please see our website for details.",
"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": "01f1609b-70c6-44bc-b26a-4e348fe0f62f",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "1. Machine Learning and Statistical modelling (30 credits)\n2. Deep Learning and Computer Vision (30 credits)\n3. The Data Science Professional (30 credits)\n4. Generative AI and Reinforcement Learning (30 credits)\n5. Individual Research Project (60 credits)\n\nFor complete and up-to-date information, please view our website.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9c340a75-27d4-4dba-8fde-be5e5f1de127",
"url": null,
"name": "Coventry University",
"ukprn": null,
"address": {
"line1": "Priory Street",
"line2": "",
"line3": null,
"line4": "Coventry",
"region": {
"id": "35",
"caption": "West Midlands",
"mappedCaption": "West Midlands"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 52.4053141389,
"postcode": "CV1 5FB",
"longitude": -1.5000631116
},
"isDefault": false,
"geoLocation": {
"latitude": 52.4053141389,
"longitude": -1.5000631116
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.4053141389,-1.5000631116&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=RnKg2igy2gl2gDjwSI_qXOwrM2c=",
"googleMapsParams": "52.4053141389,-1.5000631116",
"locationCategory": {
"id": "10000",
"caption": "Main Site",
"mappedCaption": null
},
"geoLocationString": "52.4053141389,-1.5000631116"
},
"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.coventry.ac.uk/study-at-coventry/apply-now/postgraduate/",
"assessmentMethods": "This course will be assessed using a variety of methods which will could vary depending upon the module. Assessment methods include coursework, essays, project, group work and formal examination.\n\nThe Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes. Assessments may include exams, individual assignments or group work elements.",
"entryRequirements": "Applicants for this programme will normally be expected to possess a minimum of a second class honours degree in computer science, mathematics or other relevant discipline.\n\nWe recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.",
"internalReference": "EECT044",
"providerCourseUrl": "https://www.coventry.ac.uk/course-structure/pg/ees/data-science-and-computational-intelligence-msc/?term=2026-27",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "Please see our website for details.",
"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": "36acb1ba-2a3a-4b21-a9d6-4850560d5bba",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "1. Machine Learning and Statistical modelling (30 credits)\n2. Deep Learning and Computer Vision (30 credits)\n3. The Data Science Professional (30 credits)\n4. Generative AI and Reinforcement Learning (30 credits)\n5. Individual Research Project (60 credits)\n\nFor complete and up-to-date information, please view our website.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9c340a75-27d4-4dba-8fde-be5e5f1de127",
"url": null,
"name": "Coventry University",
"ukprn": null,
"address": {
"line1": "Priory Street",
"line2": "",
"line3": null,
"line4": "Coventry",
"region": {
"id": "35",
"caption": "West Midlands",
"mappedCaption": "West Midlands"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 52.4053141389,
"postcode": "CV1 5FB",
"longitude": -1.5000631116
},
"isDefault": false,
"geoLocation": {
"latitude": 52.4053141389,
"longitude": -1.5000631116
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.4053141389,-1.5000631116&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=RnKg2igy2gl2gDjwSI_qXOwrM2c=",
"googleMapsParams": "52.4053141389,-1.5000631116",
"locationCategory": {
"id": "10000",
"caption": "Main Site",
"mappedCaption": null
},
"geoLocationString": "52.4053141389,-1.5000631116"
},
"startDate": {
"date": "05/2027",
"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.coventry.ac.uk/study-at-coventry/apply-now/postgraduate/",
"assessmentMethods": "This course will be assessed using a variety of methods which will could vary depending upon the module. Assessment methods include coursework, essays, project, group work and formal examination.\n\nThe Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes. Assessments may include exams, individual assignments or group work elements.",
"entryRequirements": "Applicants for this programme will normally be expected to possess a minimum of a second class honours degree in computer science, mathematics or other relevant discipline.\n\nWe recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.",
"internalReference": "EECT044",
"providerCourseUrl": "https://www.coventry.ac.uk/course-structure/pg/ees/data-science-and-computational-intelligence-msc/?term=2026-27",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "Please see our website for details.",
"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": "bf61273a-ce26-4632-8996-7cbf855dffc8",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "1. Machine Learning and Statistical modelling (30 credits)\n2. Deep Learning and Computer Vision (30 credits)\n3. The Data Science Professional (30 credits)\n4. Generative AI and Reinforcement Learning (30 credits)\n5. Individual Research Project (60 credits)\n\nFor complete and up-to-date information, please view our website.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9c340a75-27d4-4dba-8fde-be5e5f1de127",
"url": null,
"name": "Coventry University",
"ukprn": null,
"address": {
"line1": "Priory Street",
"line2": "",
"line3": null,
"line4": "Coventry",
"region": {
"id": "35",
"caption": "West Midlands",
"mappedCaption": "West Midlands"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 52.4053141389,
"postcode": "CV1 5FB",
"longitude": -1.5000631116
},
"isDefault": false,
"geoLocation": {
"latitude": 52.4053141389,
"longitude": -1.5000631116
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.4053141389,-1.5000631116&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=RnKg2igy2gl2gDjwSI_qXOwrM2c=",
"googleMapsParams": "52.4053141389,-1.5000631116",
"locationCategory": {
"id": "10000",
"caption": "Main Site",
"mappedCaption": null
},
"geoLocationString": "52.4053141389,-1.5000631116"
},
"startDate": {
"date": "11/2026",
"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.coventry.ac.uk/study-at-coventry/apply-now/postgraduate/",
"assessmentMethods": "This course will be assessed using a variety of methods which will could vary depending upon the module. Assessment methods include coursework, essays, project, group work and formal examination.\n\nThe Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes. Assessments may include exams, individual assignments or group work elements.",
"entryRequirements": "Applicants for this programme will normally be expected to possess a minimum of a second class honours degree in computer science, mathematics or other relevant discipline.\n\nWe recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.",
"internalReference": "EECT044",
"providerCourseUrl": "https://www.coventry.ac.uk/course-structure/pg/ees/data-science-and-computational-intelligence-msc/?term=2026-27",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "Please see our website for details.",
"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": "e5e4f608-b354-494a-97d1-834706ca301c",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "1. Machine Learning and Statistical modelling (30 credits)\n2. Deep Learning and Computer Vision (30 credits)\n3. The Data Science Professional (30 credits)\n4. Generative AI and Reinforcement Learning (30 credits)\n5. Individual Research Project (60 credits)\n\nFor complete and up-to-date information, please view our website.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9c340a75-27d4-4dba-8fde-be5e5f1de127",
"url": null,
"name": "Coventry University",
"ukprn": null,
"address": {
"line1": "Priory Street",
"line2": "",
"line3": null,
"line4": "Coventry",
"region": {
"id": "35",
"caption": "West Midlands",
"mappedCaption": "West Midlands"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 52.4053141389,
"postcode": "CV1 5FB",
"longitude": -1.5000631116
},
"isDefault": false,
"geoLocation": {
"latitude": 52.4053141389,
"longitude": -1.5000631116
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.4053141389,-1.5000631116&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=RnKg2igy2gl2gDjwSI_qXOwrM2c=",
"googleMapsParams": "52.4053141389,-1.5000631116",
"locationCategory": {
"id": "10000",
"caption": "Main Site",
"mappedCaption": null
},
"geoLocationString": "52.4053141389,-1.5000631116"
},
"startDate": {
"date": "03/2027",
"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.coventry.ac.uk/study-at-coventry/apply-now/postgraduate/",
"assessmentMethods": "This course will be assessed using a variety of methods which will could vary depending upon the module. Assessment methods include coursework, essays, project, group work and formal examination.\n\nThe Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes. Assessments may include exams, individual assignments or group work elements.",
"entryRequirements": "Applicants for this programme will normally be expected to possess a minimum of a second class honours degree in computer science, mathematics or other relevant discipline.\n\nWe recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.",
"internalReference": "EECT044",
"providerCourseUrl": "https://www.coventry.ac.uk/course-structure/pg/ees/data-science-and-computational-intelligence-msc/?term=2026-27",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "Please see our website for details.",
"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": "e4b2746a-a0c2-4a9a-aa97-16cd176303d6",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "1. Machine Learning and Statistical modelling (30 credits)\n2. Deep Learning and Computer Vision (30 credits)\n3. The Data Science Professional (30 credits)\n4. Generative AI and Reinforcement Learning (30 credits)\n5. Individual Research Project (60 credits)\n\nFor complete and up-to-date information, please view our website.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "9c340a75-27d4-4dba-8fde-be5e5f1de127",
"url": null,
"name": "Coventry University",
"ukprn": null,
"address": {
"line1": "Priory Street",
"line2": "",
"line3": null,
"line4": "Coventry",
"region": {
"id": "35",
"caption": "West Midlands",
"mappedCaption": "West Midlands"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 52.4053141389,
"postcode": "CV1 5FB",
"longitude": -1.5000631116
},
"isDefault": false,
"geoLocation": {
"latitude": 52.4053141389,
"longitude": -1.5000631116
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.4053141389,-1.5000631116&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=RnKg2igy2gl2gDjwSI_qXOwrM2c=",
"googleMapsParams": "52.4053141389,-1.5000631116",
"locationCategory": {
"id": "10000",
"caption": "Main Site",
"mappedCaption": null
},
"geoLocationString": "52.4053141389,-1.5000631116"
},
"startDate": {
"date": "07/2027",
"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.coventry.ac.uk/study-at-coventry/apply-now/postgraduate/",
"assessmentMethods": "This course will be assessed using a variety of methods which will could vary depending upon the module. Assessment methods include coursework, essays, project, group work and formal examination.\n\nThe Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes. Assessments may include exams, individual assignments or group work elements.",
"entryRequirements": "Applicants for this programme will normally be expected to possess a minimum of a second class honours degree in computer science, mathematics or other relevant discipline.\n\nWe recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.",
"internalReference": "EECT044",
"providerCourseUrl": "https://www.coventry.ac.uk/course-structure/pg/ees/data-science-and-computational-intelligence-msc/?term=2026-27",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "Please see our website for details.",
"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 Computational Intelligence. Coventry University. Artificial intelligence. Science. Information technology. Computer science",
"summary": "Choose your start date. You have six opportunities to join this course throughout the year.\n\nThe main theme throughout this course is automatic big data analytics and natural language processing through machine learning, especially deep neural networks.\n\n\n- We aim to cover how to apply cutting-edge machine learning techniques to analyse big datasets, assess the statistical significance of data mining results and perform advanced data analytics.\n\n\n- We will introduce you to important frameworks which may include Hadoop Map Reduce, Spark, applications of relational databases and NoSQL databases in combination with powerful languages such as Python and R.\n\n\n- We will look at emerging theories, practices, approaches, and management of distributed and intelligent computing systems, examining a wide range of case studies to see how applications have been developed and for what purposes, such as steganography detection system for colour stego images.\n\n\n- The focus of the course is on applications of data science methods and tools, combined with computational intelligence techniques for data-driven problem solving including the analysis, interpretation and visualisation of complex data, which is in increasing demand in fields such as marketing, pharmaceutics, finance, transportation, medicine, and management.\n\n\n- You will have the option to apply for a ‘work placement’ opportunity2, designed to further develop your skills and knowledge with the aim of maximising your employability prospects. See modules for more information.\n\n\nFor the latest information, please view our website. ",
"atasFlag": false,
"contacts": [
{
"id": "bd6e4d75-786a-55d6-dbda-475d873da132",
"fax": "",
"email": "applications.io@coventry.ac.uk",
"phone": "+44 024 7765 2152",
"title": "European and International Admissions Office",
"isDefault": false,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
},
{
"id": "bb19428c-b271-5e0c-0d24-889a08e27fec",
"fax": "",
"email": "ukpostgraduate@coventry.ac.uk",
"phone": "024 7765 4321",
"title": "UK Postgraduate Admissions Office",
"isDefault": false,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
},
{
"id": "febd1360-8471-4a30-b522-0e04b0c278fa",
"fax": null,
"email": null,
"phone": "02476 888888",
"title": "Recruitment and Admissions Office",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": "https://www.coventry.ac.uk/clearing/",
"enquiryLink": {
"url": null,
"caption": null
},
"availability": "Thursday 14 August\t08:00-20:00,\nFriday 15 August\t 08:00-18:00,\nSaturday 16 August\t10:00-16:00,\nSunday 17 August\t10:00-16:00,\nMonday 18 August onwards (weekdays only) 08:30-17:00",
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
}
],
"keywords": null,
"provider": {
"id": "dfed9a6a-89c6-d0c1-e3b9-ccc3ab651bc5",
"name": "Coventry University",
"ukprn": 10001726,
"address": {
"line1": "Priory Street",
"line2": "",
"line3": "",
"line4": "Coventry",
"region": {
"id": "35",
"caption": "West Midlands",
"mappedCaption": "West Midlands"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 52.4053141389,
"postcode": "CV1 5FB",
"longitude": -1.5000631116
},
"aliases": [],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/dfed9a6a-89c6-d0c1-e3b9-ccc3ab651bc5",
"aliasName": "Coventry University",
"websiteUrl": "www.coventry.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "Coventry University",
"providerUrls": [],
"imageLocation": "gold gold silver-01.png",
"institutionCode": "C85",
"providerShortName": "Coventry University",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "COVN",
"aliasNameWithoutApostrophe": "Coventry University"
},
"subjects": [
{
"id": "1038",
"caption": "Artificial intelligence",
"mappedCaption": null
},
{
"id": "1268",
"caption": "Science",
"mappedCaption": null
},
{
"id": "1027",
"caption": "Information technology",
"mappedCaption": null
},
{
"id": "1037",
"caption": "Computer science",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "d6af0afc-9451-036d-8137-a3b480c2e639",
"name": "School of Science"
},
"hecosCodes": [
{
"hecosCode": {
"code": "100755",
"caption": "data management",
"refDataId": "10532"
},
"percentageOfCourse": 50
},
{
"hecosCode": {
"code": "100757",
"caption": "intelligent systems",
"refDataId": "10534"
},
"percentageOfCourse": 50
}
],
"jacs3Codes": [],
"publishEnd": "9999-12-31T23:59:59.9999999",
"shortTitle": null,
"specialism": {
"primary": [],
"secondary": [],
"specialismStudyTypes": []
},
"visibleEnd": "2027-08-01T08:00:00",
"compositeId": "0a9fdfb5-b110-d900-f4bd-922f2ce0dddb-2026",
"courseTitle": "Data Science and Computational 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": "282",
"caption": "Coventry University",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Data Science and Computational 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 Computational Intelligence",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 128,
"academicYearsInformation": {
"2025": 3,
"2026": 6
}
}