Data Science (Artificial Intelligence and Statistics)
Basic Information
- Course ID
39731236-9948-4d1d-aeeb-1d0076fc14d8- Option ID
0401b0ab-75e1-449d-822a-3947a4456ec8- Provider
- University of York
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/22/2026, 4:48:02 AM
- Updated
- 3/27/2026, 10:08:41 AM
Other Options for this Course
No other options
Listing Data (Raw)
{
"id": "0401b0ab-75e1-449d-822a-3947a4456ec8",
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "4dc988f2-b8c2-41c6-9fec-8e9c5ce104d0",
"url": null,
"name": "Main Site",
"ukprn": null,
"address": {
"line1": "Heslington",
"line2": "",
"line3": null,
"line4": "York",
"region": {
"id": "38",
"caption": "Yorkshire and Humberside",
"mappedCaption": "Yorkshire and the Humber"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.9484189035,
"postcode": "YO10 5DD",
"longitude": -1.0535444891
},
"isDefault": false,
"geoLocation": {
"latitude": 53.9484189035,
"longitude": -1.0535444891
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": null,
"googleMapsParams": null,
"locationCategory": null,
"geoLocationString": "53.9484189035,-1.0535444891"
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "3",
"caption": "Full-time",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"durationRange": null,
"outcomeQualification": {
"caption": "Master of Science - MSc (PG)"
},
"academicEntryRequirements": null
}
Detail API Response (Raw)
{
"course": {
"id": "39731236-9948-4d1d-aeeb-1d0076fc14d8",
"cpdFlag": false,
"options": [
{
"id": "0401b0ab-75e1-449d-822a-3947a4456ec8",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": null,
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "4dc988f2-b8c2-41c6-9fec-8e9c5ce104d0",
"url": null,
"name": "Main Site",
"ukprn": null,
"address": {
"line1": "Heslington",
"line2": "",
"line3": null,
"line4": "York",
"region": {
"id": "38",
"caption": "Yorkshire and Humberside",
"mappedCaption": "Yorkshire and the Humber"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.9484189035,
"postcode": "YO10 5DD",
"longitude": -1.0535444891
},
"isDefault": false,
"geoLocation": {
"latitude": 53.9484189035,
"longitude": -1.0535444891
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.9484189035,-1.0535444891&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=nb9W9V0O-KkJEj1K0RdwvVKIYls=",
"googleMapsParams": "53.9484189035,-1.0535444891",
"locationCategory": null,
"geoLocationString": "53.9484189035,-1.0535444891"
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "3",
"caption": "Full-time",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"applyCycle": "2026",
"courseFees": [
{
"amount": 13900,
"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": 13900,
"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": 13900,
"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": 13900,
"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": 13900,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "9",
"caption": "Channel Islands",
"mappedCaption": null
}
},
{
"amount": 13900,
"currency": {
"id": "GBP",
"caption": "£",
"mappedCaption": null
},
"feeBasis": {
"id": "5",
"caption": "Year 1",
"mappedCaption": null
},
"feeState": {
"id": "3",
"caption": "Set",
"mappedCaption": null
},
"feeLocale": {
"id": "10",
"caption": "Republic of Ireland",
"mappedCaption": null
}
},
{
"amount": 32900,
"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": 32900,
"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": "https://www.york.ac.uk/study/postgraduate/courses/apply?course=DPMDSSSSTA1",
"assessmentMethods": null,
"entryRequirements": "2:2 or equivalent undergraduate degree in Mathematics or in a subject with a substantial mathematical component",
"internalReference": null,
"providerCourseUrl": "https://www.york.ac.uk/study/postgraduate-taught/courses/msc-data-science-ai-statistics/",
"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 (Artificial Intelligence and Statistics). University of York. Data analysis. Statistics. Artificial intelligence",
"summary": "This course produces data analysts with a focused specialism in data science, underpinned by formal training in advanced statistics, machine learning and artificial intelligence. As a graduate of this course, you'll be appropriately equipped to make significant contributions to your career and society as a whole.\n\nThe course builds upon your existing skills in mathematics and statistics (linear algebra, probability, statistics, coding) by developing advanced training in the field of data science. It encompasses a range of specialised domains such as temporal and data analytics and machine learning, fully underpinned by significant coding exposure. Interweaved across modules, the course harnesses three integrated strands that develop statistical, machine learning and computational thinking, with the seamless integration of these areas making graduates very attractive to employers.",
"atasFlag": false,
"contacts": [
{
"id": "d1d91855-4bd3-4473-0bad-dc46d81abb1d",
"fax": "",
"email": "maths-graduate-admissions@york.ac.uk",
"phone": "01904 323097",
"title": "Postgraduate Administrator",
"isDefault": false,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
},
{
"id": "fed0da29-914b-4747-bcf7-614ffd7084b7",
"fax": "",
"email": null,
"phone": "01904 234868",
"title": "Clearing Enquiries",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
}
],
"keywords": null,
"provider": {
"id": "f40210c2-c564-5bfc-ee3b-98ced83963b8",
"name": "University of York",
"ukprn": 10007167,
"address": {
"line1": "Heslington",
"line2": "",
"line3": "",
"line4": "York",
"region": {
"id": "38",
"caption": "Yorkshire and Humberside",
"mappedCaption": "Yorkshire and the Humber"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 53.9482783187,
"postcode": "YO10 5DD",
"longitude": -1.0516735276
},
"aliases": [],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/f40210c2-c564-5bfc-ee3b-98ced83963b8",
"aliasName": "University of York",
"websiteUrl": "www.york.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "York, University of",
"providerUrls": [],
"imageLocation": "gold gold silver-01.png",
"institutionCode": "Y50",
"providerShortName": "University of York",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "YORK",
"aliasNameWithoutApostrophe": "University of York"
},
"subjects": [
{
"id": "2520",
"caption": "Data analysis",
"mappedCaption": null
},
{
"id": "1466",
"caption": "Statistics",
"mappedCaption": null
},
{
"id": "1038",
"caption": "Artificial intelligence",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "14196440-6f16-ba1c-1d06-c020e462ff8e",
"name": "Mathematics"
},
"hecosCodes": [],
"jacs3Codes": [],
"publishEnd": "9999-12-31T23:59:59.9999999",
"shortTitle": null,
"specialism": {
"primary": [],
"secondary": [],
"specialismStudyTypes": []
},
"visibleEnd": "2027-08-01T08:00:00",
"compositeId": "39731236-9948-4d1d-aeeb-1d0076fc14d8-2026",
"courseTitle": "Data Science (Artificial Intelligence and Statistics)",
"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": "1125",
"caption": "University of York",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Data Science (Artificial Intelligence and Statistics)",
"abbreviatedTitle": null,
"balanceIndicator": null,
"copyFormRequired": false,
"internalReference": null,
"currentlyInClearing": false,
"ucasTeacherTraining": false,
"degreeApprenticeship": false,
"qualifiedTeacherStatus": null,
"sponsorshipInformation": null,
"internationalInformation": null,
"courseTitleWithoutApostrophe": "Data Science (Artificial Intelligence and Statistics)",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 5,
"academicYearsInformation": {
"2026": 1
}
}
Normalized Data
{
"scrapedAt": "2026-03-27T10:08:41.790Z",
"scrapedPte": 61,
"scrapedUrl": "https://www.york.ac.uk/study/postgraduate-taught/courses/msc-data-science-ai-statistics/",
"scrapedToefl": 87,
"scrapedAiUsed": false,
"scrapedFeeRaw": "Fees and funding Annual tuition fees for 2026/27 Study modeUK (home)International and EU Full-time (1 year) £13,900 £32,900 Fees information UK (home) or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK (home) or international student. Check your fee status. Find out more information about tuition fees and how to pay them. Postgraduate taught fees and expenses Funding information Discover your funding options to help with tuition fees and living costs. We'll confirm more funding opportunities for students joining us in 2026/27 throughout the year. If you've successfully completed an undergraduate degree at York you could be eligible for a 10% Masters fee discount. Funding opportunities UK government Masters loans Funding for UK students Funding for international students Chevening Scholarships We are pleased to work with Chevening Scholars to offer funding for our Masters programmes. Chevening Scholarships provide one year of ",
"feesConfidence": 1,
"normalizedFees": {
"home": 13900,
"currency": "GBP",
"international": 32900
},
"scrapedAiError": null,
"scrapedDuolingo": 120,
"scrapedTemplate": null,
"scrapedCambridge": null,
"scrapedIeltsBand": 6,
"scrapedLangSource": "course_page",
"languageConfidence": 1,
"normalizedLanguage": {
"pte": 61,
"ielts": {
"overall": 6.5,
"min_component": 6
},
"toefl": 87,
"duolingo": 120,
"cambridge": null
},
"scrapedLanguageRaw": "English language\nIf English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:\nIELTS (Academic and Indicator)\n6.5, minimum 6.0 in each component\nB2 First: 176, with 169 in each component\n7, minimum of 6 in each component\nOxford Test of English Advanced\n136, minimum 126 in each component\nDuolingo\n120, minimum 105 in all other components\nLanguageCert SELT\nB2 with 33/50 in each component\n70 with a minimum of 65 in each component\nKaplan Test of English Language\n478-509, with 444-477 in all other components\nSkills for English\nB2: Merit overall, with Pass with Merit in each component\nPTE Academic\n61, minimum 55 in each component\nTOEFL\n87, minimum 21 in each component\nMerit in all requirements",
"scrapedIeltsOverall": 6.5,
"scrapedLangSourceUrl": null,
"scrapedTuitionFeeHome": 13900,
"scrapedTuitionFeeIntl": 32900,
"scrapedEntryRequirements": "Entry requirements Qualification Typical offer Undergraduate degree 2:2 or equivalent undergraduate degree in Mathematics or in a subject with a substantial mathematical component Other international qualifications Equivalent qualifications from your country English language If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications: Qualification Minimum requirement IELTS (Academic and Indicator) 6.5, minimum 6.0 in each component Cambridge CEFR B2 First: 176, with 169 in each component Oxford ELLT 7, minimum of 6 in each component Oxford Test of English Advanced 136, minimum 126 in each component Duolingo 120, minimum 105 in all other components LanguageCert SELT B2 with 33/50 in each component LanguageCert Academic 70 with a minimum of 65 in each component Kaplan Test of English Language 478-509, with 444-477 in all other components Skills for English B2: Merit overall, with Pass with Merit in each c"
}