Mathematics and Data Science
Basic Information
- Course ID
e0304047-f9f5-4303-9b3f-2087181a3d8c- Option ID
6a7acc80-a1c5-4121-be72-79c02080ccfd- Provider
- University of Stirling
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/25/2026, 6:48:47 PM
- Updated
- 3/28/2026, 10:22:08 AM
Other Options for this Course
No other options
Listing Data (Raw)
{
"id": "6a7acc80-a1c5-4121-be72-79c02080ccfd",
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "0eee96ec-2cbb-4416-a866-1380252a177b",
"url": null,
"name": "Main Site",
"ukprn": null,
"address": {
"line1": "Grange Road",
"line2": "",
"line3": null,
"line4": "Stirling",
"region": {
"id": "5",
"caption": "Central Scotland and Fife",
"mappedCaption": "Scotland"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "Scotland"
},
"latitude": 56.145463331,
"postcode": "FK9 4LA",
"longitude": -3.9200227196
},
"isDefault": false,
"geoLocation": {
"latitude": 56.145463331,
"longitude": -3.9200227196
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": null,
"googleMapsParams": null,
"locationCategory": null,
"geoLocationString": "56.145463331,-3.9200227196"
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "3",
"caption": "Full-time",
"mappedCaption": "Full-time",
"excludedSchemesForApplication": []
},
"durationRange": null,
"outcomeQualification": {
"caption": "MSc"
},
"academicEntryRequirements": null
}
Detail API Response (Raw)
{
"course": {
"id": "e0304047-f9f5-4303-9b3f-2087181a3d8c",
"cpdFlag": false,
"options": [
{
"id": "6a7acc80-a1c5-4121-be72-79c02080ccfd",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "Statistical analysis techniques for small and large datasets;\n Developing models of real-life systems;\n Mathematical analysis of data networks, e.g. social media networks;\n Analytical and numerical optimisation approaches to real-life systems;\n Manipulating data and scripting in Python;\n Data analytics and machine learning;\n Cluster computing on Hadoop and Spark;\n Relational and NoSQL databases.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "0eee96ec-2cbb-4416-a866-1380252a177b",
"url": null,
"name": "Main Site",
"ukprn": null,
"address": {
"line1": "Grange Road",
"line2": "",
"line3": null,
"line4": "Stirling",
"region": {
"id": "5",
"caption": "Central Scotland and Fife",
"mappedCaption": "Scotland"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "Scotland"
},
"latitude": 56.145463331,
"postcode": "FK9 4LA",
"longitude": -3.9200227196
},
"isDefault": false,
"geoLocation": {
"latitude": 56.145463331,
"longitude": -3.9200227196
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C56.145463331,-3.9200227196&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=GhsqJON-LmIjXychVqjdDJfdN7U=",
"googleMapsParams": "56.145463331,-3.9200227196",
"locationCategory": null,
"geoLocationString": "56.145463331,-3.9200227196"
},
"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": null,
"assessmentMethods": null,
"entryRequirements": "A minimum of a second class Honours degree, or equivalent, in either a mathematics (joint or single honours) or other numerate subject, e.g. physics. Other degrees will also be taken into account, if it can be shown that some mathematical study took place and you have taken and passed advanced mathematics modules in at least some of calculus, algebra, statistics and numerical analysis. \n\nApplicants without these formal qualifications but with significant and appropriate work/life experience are encouraged to apply.",
"internalReference": null,
"providerCourseUrl": "https://www.stir.ac.uk/courses/pg-taught/computing-and-data-science/mathematics-and-data-science/",
"professionalBodies": [],
"qualificationLevel": {
"id": "SCQF_11",
"caption": "SCQF Level 11",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "For further information on course costs, please refer to the University website:\nhttps://www.stir.ac.uk/courses/?filter__level=Postgraduate&filter__method=&filter__faculty=&filter__startdate=",
"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": {
"urlField": "",
"urlDescription": null,
"furtherInformation": "For further information on English Language requirements, please see the university website:\nhttps://www.stir.ac.uk/international/international-students/english-language-requirements/"
}
}
],
"suggest": "Mathematics and Data Science. University of Stirling. Science. Data analysis",
"summary": "Mathematics and data science are closely connected. Data science methodologies are built on mathematical principles. Understanding them is crucial for aspiring data scientists (source: Institute of Data 2023).\n\nThe demand for graduates in this field is growing rapidly fuelled by advances in technology and the increasing importance of data (Data Science Jobs, 2025). Employers seek individuals with computing skills to manage data and mathematical skills to analyse it. This involves identifying patterns, building models, and making predictions.\n\nOur Masters degree in Mathematics and Data Science emphasises the practical application of mathematics for data science. You’ll develop skills that are highly sought after in the data industry.\n\nGain practical maths and data science experience\nOn our Mathematics and Data Science MSc, you get the opportunity to work with academics on commercially relevant research projects. You can also take part in projects with industry or technology providers. Past projects include:\n\nIntergen: Data driven forecasting of UK electricity market imbalances\nNatwest: Building enterprise scale machine learning ops - model monitoring toolkits\nScottish National Investment Bank: The decarbonisation of heat in Scotland\nSportScotland Institute of Sport: Analysis of swimming race data\nStreamba Ltd: Assessing methods for robust data preparation of heterogeneous sources\nEden Court Highlands: Live audience analysis\nNational Records of Scotland: Seasonal adjustment of mortality\nBBC World Service: Analysis of shifts in political/public opinion using time series analysis and natural language processing tools\nLearn cutting edge skills which are in demand from employers\nYou'll gain hands on industry standard skills and knowledge from lecturers with research expertise in mathematical modelling, data science and AI. The course covers:\n\nstatistical analysis of large datasets and data in network form, e.g. social media networks;\nbasic and advanced programming using R, Matlab and Python;\nbuilding and analysing mathematical models of real-life systems;\nprobability, stochastic optimisation and artificial intelligence;\ndata analytics and machine learning;\nrelational and non-relational databases;\ncluster computing.\nEngage with the data science industry\nThis data science and mathematics Masters degree offers a great chance to build your professional network with peers and industry leaders.\n\nYou’ll benefit from our strong ties with The Data Lab innovation centre who offer networking opportunities.\n\nYou’ll also engage with industry through guest lectures and local industry career events. Recent speakers include Huawei, Bigspark, Red Star (AI for healthcare), Virtonomy, KBC Group, and Leonardo UK.",
"atasFlag": false,
"contacts": [
{
"id": "3ddc6552-ef95-4655-80a6-3d877ba14e94",
"fax": null,
"email": "clearing@stir.ac.uk",
"phone": "01786 466166",
"title": "Clearing Hotline",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": "https://www.stir.ac.uk/clearing/",
"enquiryLink": {
"url": "https://www.stir.ac.uk/clearing/",
"caption": "Have a question about Clearing at Stirling?"
},
"availability": "",
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": [
{
"id": "fb",
"url": "https://www.facebook.com/universityofstirling/",
"caption": "Facebook"
},
{
"id": "tw",
"url": "https://twitter.com/StirUni",
"caption": "Twitter"
},
{
"id": "ig",
"url": "https://instagram.com/universityofstirling/",
"caption": "Instagram"
},
{
"id": "li",
"url": "https://www.linkedin.com/school/university-of-stirling/",
"caption": "LinkedIn"
},
{
"id": "yt",
"url": "https://www.youtube.com/user/UniversityOfStirling",
"caption": "Youtube"
}
]
}
],
"keywords": null,
"provider": {
"id": "20b2137b-2930-80ed-337f-27127a9f1d28",
"name": "University of Stirling",
"ukprn": 10007804,
"address": {
"line1": "",
"line2": "",
"line3": "",
"line4": "Stirling",
"region": {
"id": "5",
"caption": "Central Scotland and Fife",
"mappedCaption": "Scotland"
},
"country": {
"id": "103",
"caption": "Scotland",
"mappedCaption": "Scotland"
},
"latitude": 56.145463331,
"postcode": "FK9 4LA",
"longitude": -3.9200227196
},
"aliases": [],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/20b2137b-2930-80ed-337f-27127a9f1d28",
"aliasName": "University of Stirling",
"websiteUrl": "www.stir.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "Stirling, University of",
"providerUrls": [],
"imageLocation": null,
"institutionCode": "S75",
"providerShortName": "The University of Stirling",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "STIRL",
"aliasNameWithoutApostrophe": "University of Stirling"
},
"subjects": [
{
"id": "1268",
"caption": "Science",
"mappedCaption": null
},
{
"id": "2520",
"caption": "Data analysis",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "052f020d-6118-2aec-ead5-8307fd858269",
"name": "Computing Science and Mathematics"
},
"hecosCodes": [
{
"hecosCode": {
"code": "100403",
"caption": "mathematics",
"refDataId": "10287"
},
"percentageOfCourse": 50
},
{
"hecosCode": {
"code": "100755",
"caption": "data management",
"refDataId": "10532"
},
"percentageOfCourse": 50
}
],
"jacs3Codes": [],
"publishEnd": "9999-12-31T23:59:59.9999999",
"shortTitle": null,
"specialism": {
"primary": [],
"secondary": [],
"specialismStudyTypes": []
},
"visibleEnd": "2027-08-01T08:00:00",
"compositeId": "e0304047-f9f5-4303-9b3f-2087181a3d8c-2026",
"courseTitle": "Mathematics and 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": "993",
"caption": "University of Stirling",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Mathematics and Data Science",
"abbreviatedTitle": null,
"balanceIndicator": null,
"copyFormRequired": false,
"internalReference": null,
"currentlyInClearing": false,
"ucasTeacherTraining": false,
"degreeApprenticeship": false,
"qualifiedTeacherStatus": null,
"sponsorshipInformation": "For information on funding and scholarships, please see here:\nhttps://www.stir.ac.uk/study/fees-funding/postgraduate-loans-and-funding/",
"internationalInformation": null,
"courseTitleWithoutApostrophe": "Mathematics and Data Science",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 46,
"academicYearsInformation": {
"2025": 1,
"2026": 1
}
}
Normalized Data
{
"scrapedAt": "2026-03-28T10:22:06.160Z",
"scrapedPte": null,
"scrapedUrl": "https://www.stir.ac.uk/courses/pg-taught/computing-and-data-science/mathematics-and-data-science/",
"scrapedToefl": null,
"scrapedAiUsed": false,
"scrapedFeeRaw": null,
"feesConfidence": 0,
"normalizedFees": {
"home": null,
"currency": null,
"international": null
},
"scrapedAiError": null,
"scrapedDuolingo": null,
"scrapedTemplate": null,
"scrapedCambridge": null,
"scrapedIeltsBand": null,
"scrapedLangSource": "course_page",
"languageConfidence": 0,
"normalizedLanguage": {
"pte": null,
"ielts": null,
"toefl": null,
"duolingo": null,
"cambridge": null
},
"scrapedLanguageRaw": "Undergraduate courses \n\nCourse\n\nStart date\n\nBSc (Hons) Data Science and Artificial Intelligence\n\nSeptember 2026\n\nPostgraduate courses \n\nCourse\n\nStart date\n\nMSc Artificial Intelligence\n\nSeptember 2026, January 2027\n\nMSc Big Data\n\nSeptember 2026, January 2027\n\nMSc Big Data (Online)\n\nOctober 2026\n\nMSc Business Analytics\n\nSeptember 2026, January 2027\n\nMSc Data Science for Business\n\nSeptember 2026, January 2027\n\nMSc Finance and Data Analytics\n\nSeptember 2026\n\nMSc Financial Technology (FinTech)\n\nSeptember 2026, January 2027\n\nMSc Marketing Analytics\n\nSeptember 2026, January 2027\n\nMSc Mathematics and Data Science\n\nSeptember 2026, January 2027\n\nMSc Social Statistics and Social Research\n\nSeptember 2026, January 2027\n\nMSc Sport Business Analytics\n\nSeptember 2026\n\nProfessional Doctorate Data Science\n\nSeptember 2026, January 2027\n\nScholarships\n\nWe offer a variety of scholarship and funding options to help you finance your studies at the University of Stirling.",
"scrapedIeltsOverall": null,
"scrapedLangSourceUrl": null,
"scrapedTuitionFeeHome": null,
"scrapedTuitionFeeIntl": null,
"scrapedEntryRequirements": null
}