Data Science (Applied Urban Analytics)
Basic Information
- Course ID
9dac2951-536a-47d6-8caa-fab3bdcb5686- Option ID
825d2d26-aba6-4d0d-888a-332446f0f929- Provider
- University of Manchester
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/22/2026, 4:48:02 AM
- Updated
- 3/27/2026, 10:08:32 AM
Other Options for this Course
No other options
Listing Data (Raw)
{
"id": "825d2d26-aba6-4d0d-888a-332446f0f929",
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "ba1f0197-8d8c-461e-9007-369e3e08e6a4",
"url": null,
"name": "Main Site",
"ukprn": null,
"address": {
"line1": "University Recruitment And Adm",
"line2": "Oxford Road",
"line3": "",
"line4": "Manchester",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.4679263853,
"postcode": "M13 9PL",
"longitude": -2.2332236483
},
"isDefault": false,
"geoLocation": {
"latitude": 53.4679263853,
"longitude": -2.2332236483
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": null,
"googleMapsParams": null,
"locationCategory": null,
"geoLocationString": "53.4679263853,-2.2332236483"
},
"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": "9dac2951-536a-47d6-8caa-fab3bdcb5686",
"cpdFlag": false,
"options": [
{
"id": "825d2d26-aba6-4d0d-888a-332446f0f929",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "ba1f0197-8d8c-461e-9007-369e3e08e6a4",
"url": null,
"name": "Main Site",
"ukprn": null,
"address": {
"line1": "University Recruitment And Adm",
"line2": "Oxford Road",
"line3": "",
"line4": "Manchester",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 53.4679263853,
"postcode": "M13 9PL",
"longitude": -2.2332236483
},
"isDefault": false,
"geoLocation": {
"latitude": 53.4679263853,
"longitude": -2.2332236483
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C53.4679263853,-2.2332236483&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=BzhdPQy6KRKxTcsYeCXOGh3ylcw=",
"googleMapsParams": "53.4679263853,-2.2332236483",
"locationCategory": null,
"geoLocationString": "53.4679263853,-2.2332236483"
},
"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": "High 2:1 honours degree (or overseas equivalent)\nFor this pathway, we would expect applicants to evidence an interest and/or experience in topics related to urban analysis. Examples are:\n\nWorking experience in urban-themed topics (e.g. data analyses for spatial phenomena, public policies or real estate market analysis)\nExperience in working in spatial or GIS-based data analysis\nEvidence of training in urban-themed methods or topics (e.g. GIS).\nIn your application, you should demonstrate aptitude, knowledge and/or interest in three areas: \n\ndata analytics and/or statistics;\ncomputational subjects; and\npathway specific requirements.\n\nThese can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.",
"internalReference": null,
"providerCourseUrl": "https://www.manchester.ac.uk/study/masters/courses/list/11425/msc-data-science-applied-urban-analytics/",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "For fees for entry in 2026, please view the course listing on our website.",
"academicEntryRequirements": null,
"additionalEntryRequirements": [],
"englishLanguageEntryRequirements": [
{
"score": 7,
"result": null,
"resultDetails": null,
"additionalInformation": "IELTS Academic test score of 7 overall with no component score below 6.5",
"englishLanguageRequirement": {
"id": "1",
"caption": "IELTS (Academic)",
"mappedCaption": "IELTS (Academic)"
}
},
{
"score": 100,
"result": null,
"resultDetails": null,
"additionalInformation": "TOEFL IBT 100 with no score below 22 in each section. TOEFL code for Manchester is 0757",
"englishLanguageRequirement": {
"id": "2",
"caption": "TOEFL (iBT)",
"mappedCaption": "TOEFL (iBT)"
}
}
],
"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": null,
"urlDescription": null,
"furtherInformation": "Applicants whose first language is not English should meet the following language requirements:\n\nIELTS Academic test score of 7 overall with no component score below 6.5\nTOEFL IBT 100 with no score below 22 in each section. TOEFL code for Manchester is 0757\nPearson Test of English (PTE) score of 76 overall and no component score below 70\nPre-Sessional English Courses\n\nWe will consider applicants who do not meet these scores but you may be required to complete a pre-sessional English language course at the University of Manchester prior to the start of the course.\n\nTo be considered for a pre-sessional English language course for this programme we require the following minimum IELTS (Academic) scores:\n\n6 Week Pre-Sessional Course : IELTS 6.5 overall with 6.0 in each sub-skill \n\n10 Week Pre-sessional Course : IELTS 6.0 overall with 6.0 in three sub-skills, and 5.5 in no more than one sub-skill \n\nIf you have not yet completed your current academic study and are interested in studying a pre-sessional course, you must hold an IELTS for UKVI (Academic) test certificate to ensure that you are eligible for a separate visa for the English language course."
}
}
],
"suggest": "Data Science (Applied Urban Analytics). University of Manchester. Data analysis. Data processing",
"summary": "The inexorable rise of the digital world, driven by the rapid development of AI, has made data scientists more in demand right now than ever before. The advances of analysing big data span beyond the digital and technology industry and are increasingly recognised in the worlds of sport, medicine, space exploration and more. Our MSc Data Science (Urban Analytics) course prepares you for a successful career in this high-demand field.\n\nYou will develop invaluable abilities in key area’s such as:\n\n\n- data analysis;\n\n\n- project design;\n\n\n- computational methods;\n\n\n- data stewardship.\n\n\nThis course focusses on the data techniques and uses that are most relevant to urban analytics, with optional course units exploring themes such as land use, property valuation and town planning.\n\nWe welcome applicants from a range of STEM, business and humanities backgrounds, allowing us to create a diverse cohort and enrich discussions around the uses and potential of data.\n\nBy the end of your studies, you will have developed a highly valued skillset, enhancing your employability across countless sectors such as policy, business, research and more. Previous students have gone on to roles such as data scientists, civil servants, consultants, researchers, entrepreneurs, and within AI.\n\nThis course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD.",
"atasFlag": false,
"contacts": [
{
"id": "b15c4afe-cba4-af5b-7567-75aaa2ff4489",
"fax": "",
"email": "pg-soss@manchester.ac.uk",
"phone": "+44 (0) 161 306 5500",
"title": "PGT Social Sciences",
"isDefault": false,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
},
{
"id": "2f1d060e-ba85-49b3-a5bc-48c565284c96",
"fax": null,
"email": "",
"phone": "",
"title": "Clearing Contact Details",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": "http://www.manchester.ac.uk/study/undergraduate/applications/clearing-adjustment/",
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": [
{
"id": "fb",
"url": "https://www.facebook.com/TheUniversityOfManchester",
"caption": "Facebook"
},
{
"id": "tw",
"url": "https://twitter.com/officialuom",
"caption": "Twitter"
},
{
"id": "ig",
"url": "https://instagram.com/officialuom/",
"caption": "Instagram"
},
{
"id": "yt",
"url": "https://www.youtube.com/user/universitymanchester",
"caption": "Youtube"
}
]
}
],
"keywords": null,
"provider": {
"id": "01b03c44-38c1-56b2-1a0d-90720d6ce111",
"name": "University of Manchester",
"ukprn": 10007798,
"address": {
"line1": "Oxford Road",
"line2": "",
"line3": "",
"line4": "Manchester",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 53.4679263853,
"postcode": "M13 9PL",
"longitude": -2.2332236483
},
"aliases": [],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/01b03c44-38c1-56b2-1a0d-90720d6ce111",
"aliasName": "University of Manchester",
"websiteUrl": "https://www.manchester.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "Manchester, University of",
"providerUrls": [],
"imageLocation": "silver silver gold-01.png",
"institutionCode": "M20",
"providerShortName": "University of Manchester",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "MANU",
"aliasNameWithoutApostrophe": "University of Manchester"
},
"subjects": [
{
"id": "2520",
"caption": "Data analysis",
"mappedCaption": null
},
{
"id": "1052",
"caption": "Data processing",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "80d40424-90bb-0468-7a2f-b584b0c5a44c",
"name": "School of Social Sciences"
},
"hecosCodes": [
{
"hecosCode": {
"code": "100406",
"caption": "statistics",
"refDataId": "10290"
},
"percentageOfCourse": 50
},
{
"hecosCode": {
"code": "100754",
"caption": "databases",
"refDataId": "10531"
},
"percentageOfCourse": 25
},
{
"hecosCode": {
"code": "100992",
"caption": "machine learning",
"refDataId": "10713"
},
"percentageOfCourse": 25
}
],
"jacs3Codes": [],
"publishEnd": "9999-12-31T23:59:59.9999999",
"shortTitle": null,
"specialism": {
"primary": [],
"secondary": [],
"specialismStudyTypes": []
},
"visibleEnd": "2027-08-01T08:00:00",
"compositeId": "9dac2951-536a-47d6-8caa-fab3bdcb5686-2026",
"courseTitle": "Data Science (Applied Urban Analytics)",
"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": "648",
"caption": "University of Manchester",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Data Science (Applied Urban Analytics)",
"abbreviatedTitle": null,
"balanceIndicator": null,
"copyFormRequired": false,
"internalReference": null,
"currentlyInClearing": false,
"ucasTeacherTraining": false,
"degreeApprenticeship": false,
"qualifiedTeacherStatus": null,
"sponsorshipInformation": "",
"internationalInformation": null,
"courseTitleWithoutApostrophe": "Data Science (Applied Urban Analytics)",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 33,
"academicYearsInformation": {
"2025": 1,
"2026": 1
}
}
Normalized Data
{
"scrapedAt": "2026-03-27T10:08:32.175Z",
"scrapedPte": null,
"scrapedUrl": "https://www.manchester.ac.uk/study/masters/courses/list/11425/msc-data-science-applied-urban-analytics/",
"scrapedToefl": null,
"scrapedAiUsed": false,
"scrapedFeeRaw": null,
"feesConfidence": 0,
"normalizedFees": {
"home": null,
"currency": null,
"international": null
},
"scrapedAiError": null,
"scrapedDuolingo": null,
"scrapedTemplate": "drupal",
"scrapedCambridge": null,
"scrapedIeltsBand": null,
"scrapedLangSource": "course_page",
"languageConfidence": 0,
"normalizedLanguage": {
"pte": null,
"ielts": null,
"toefl": null,
"duolingo": null,
"cambridge": null
},
"scrapedLanguageRaw": null,
"scrapedIeltsOverall": null,
"scrapedLangSourceUrl": null,
"scrapedTuitionFeeHome": null,
"scrapedTuitionFeeIntl": null,
"scrapedEntryRequirements": null
}