Economics and Data Science
Basic Information
- Course ID
1ec8bc79-2b38-4bfb-9da8-e13811b89591- Option ID
cdbcbb0e-d338-43b1-b33b-52a3c2bcc624- Provider
- University of Nottingham
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/22/2026, 5:44:38 AM
- Updated
- 3/27/2026, 10:21:11 AM
Other Options for this Course
No other options
Listing Data (Raw)
{
"id": "cdbcbb0e-d338-43b1-b33b-52a3c2bcc624",
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "43bd1265-cad9-e0a6-2c99-0b0a82652dca",
"url": null,
"name": "University Park Campus",
"ukprn": null,
"address": {
"line1": "University of Nottingham",
"line2": "",
"line3": "",
"line4": "Nottingham",
"region": {
"id": "10",
"caption": "East Midlands",
"mappedCaption": "East Midlands"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 52.9387934284,
"postcode": "NG7 2RJ",
"longitude": -1.2033705094
},
"isDefault": false,
"geoLocation": {
"latitude": 52.9387934284,
"longitude": -1.2033705094
},
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": null,
"googleMapsParams": null,
"locationCategory": null,
"geoLocationString": "52.9387934284,-1.2033705094"
},
"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": "1ec8bc79-2b38-4bfb-9da8-e13811b89591",
"cpdFlag": false,
"options": [
{
"id": "cdbcbb0e-d338-43b1-b33b-52a3c2bcc624",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "In semester one, you will take a core module in machine learning, along with modules in microeconomics or macroeconomics, econometric theory and economic data analysis.\n\nIn semester two, you will take an advanced core module in big data and choose three optional modules. You will also start work on your dissertation by taking a module in economic research methodology.\n\nAfter completing your semester two modules, you will undertake a 15,000-word supervised dissertation, with one-to-one support from an expert academic supervisor. This will apply the machine learning and big data techniques to an economic research question.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "43bd1265-cad9-e0a6-2c99-0b0a82652dca",
"url": null,
"name": "University Park Campus",
"ukprn": null,
"address": {
"line1": "University of Nottingham",
"line2": "",
"line3": "",
"line4": "Nottingham",
"region": {
"id": "10",
"caption": "East Midlands",
"mappedCaption": "East Midlands"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 52.9387934284,
"postcode": "NG7 2RJ",
"longitude": -1.2033705094
},
"isDefault": false,
"geoLocation": {
"latitude": 52.9387934284,
"longitude": -1.2033705094
},
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C52.9387934284,-1.2033705094&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=Xd3i8FfKIi_TxxTyXYBVnh0dDcw=",
"googleMapsParams": "52.9387934284,-1.2033705094",
"locationCategory": null,
"geoLocationString": "52.9387934284,-1.2033705094"
},
"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.nottingham.ac.uk/pgstudy/course/taught/economics-and-data-science-msc",
"assessmentMethods": "Modules are assessed by a combination of exams and coursework at the end of the relevant semester.",
"entryRequirements": "2:1 (or international equivalent) in a discipline with significant economics content, including some mathematical and quantitative methods modules; IELTS: 6.5 (no less than 6.0 in any element).",
"internalReference": null,
"providerCourseUrl": "https://www.nottingham.ac.uk/pgstudy/course/taught/economics-and-data-science-msc",
"professionalBodies": [],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "Our postgraduate taught application fee for 2026 entry is now £0.00 (free).\nhttps://www.nottingham.ac.uk/pgstudy/how-to-apply/taught.aspx",
"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": "Economics and Data Science. University of Nottingham. Economics. Data analysis. Science",
"summary": "Insights from data science are most valuable when they exist alongside a knowledge and understanding of the ways in which individuals, businesses and governments make decisions.\n\nOn our Economics and Data Science MSc, you will learn about the data science methods used widely in economic analysis, such as Lasso, random forests and supervised learning.\n\nYou will take specialist core modules that will teach key methods such as machine learning and coding, economic decision making and their application in economics. You can choose from a range of options to suit your interests and career goals. You will also undertake a dissertation in big data economics.\n\nWith an advanced degree in economics and data science from the University of Nottingham, you will graduate with all the knowledge, practical skills and confidence you need to stand out to employers and progress as a professional economist, policy maker or academic researcher. ",
"atasFlag": false,
"contacts": [
{
"id": "fb583883-b99d-4326-b53b-d04aef3ebf8d",
"fax": null,
"email": "",
"phone": "0330 041 5590",
"title": "Clearing - Apply Online",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": "https://www.nottingham.ac.uk/clearing",
"enquiryLink": {
"url": "https://www.nottingham.ac.uk/studywithus/enquiry.aspx",
"caption": "Applicant Enquiry Form"
},
"availability": "View course vacancies and apply online at www.nottingham.ac.uk/clearing. For Clearing entry requirements, please search the vacancy listings on our website from Friday 5 July 2024. Clearing entry requirements for your course may differ from the standard entry requirements. \n\nVisit www.nottingham.ac.uk/clearing for more information.",
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
}
],
"keywords": null,
"provider": {
"id": "79f42328-0271-1ace-1aec-05359cc16dd9",
"name": "University of Nottingham",
"ukprn": 10007154,
"address": {
"line1": "University Park",
"line2": "",
"line3": "",
"line4": "Nottingham",
"region": {
"id": "10",
"caption": "East Midlands",
"mappedCaption": "East Midlands"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 52.9381844784,
"postcode": "NG7 2RD",
"longitude": -1.1943795678
},
"aliases": [],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/79f42328-0271-1ace-1aec-05359cc16dd9",
"aliasName": "University of Nottingham",
"websiteUrl": "www.nottingham.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "Nottingham, University of",
"providerUrls": [],
"imageLocation": "silver silver gold-01.png",
"institutionCode": "N84",
"providerShortName": "The University of Nottingham",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "NOTTM",
"aliasNameWithoutApostrophe": "University of Nottingham"
},
"subjects": [
{
"id": "1549",
"caption": "Economics",
"mappedCaption": null
},
{
"id": "2520",
"caption": "Data analysis",
"mappedCaption": null
},
{
"id": "1268",
"caption": "Science",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "ecc13459-d30c-121e-bd90-84d106bc2e32",
"name": "School of Economics"
},
"hecosCodes": [],
"jacs3Codes": [],
"publishEnd": "9999-12-31T23:59:59.9999999",
"shortTitle": null,
"specialism": {
"primary": [],
"secondary": [],
"specialismStudyTypes": []
},
"visibleEnd": "2027-08-01T08:00:00",
"compositeId": "1ec8bc79-2b38-4bfb-9da8-e13811b89591-2026",
"courseTitle": "Economics 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": "756",
"caption": "University of Nottingham",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Economics and Data Science",
"abbreviatedTitle": null,
"balanceIndicator": null,
"copyFormRequired": false,
"internalReference": null,
"currentlyInClearing": false,
"ucasTeacherTraining": false,
"degreeApprenticeship": false,
"qualifiedTeacherStatus": null,
"sponsorshipInformation": null,
"internationalInformation": null,
"courseTitleWithoutApostrophe": "Economics and Data Science",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 31,
"academicYearsInformation": {
"2025": 1,
"2026": 1
}
}
Normalized Data
{
"scrapedAt": "2026-03-27T10:21:11.837Z",
"scrapedPte": null,
"scrapedUrl": "https://www.nottingham.ac.uk/pgstudy/course/taught/economics-and-data-science-msc",
"scrapedToefl": null,
"scrapedAiUsed": false,
"scrapedFeeRaw": "Home / UK students EU / International students Alternative qualifications Undergraduate degree2:1 (or international equivalent) in a discipline with significant economics content, including microeconomics, macroeconomics, statistics and econometrics modules. For online presessional courses, see our CELE webpages for guidance Visa restrictions International students must have valid UK immigration permissions for any courses or study period where teaching takes place in the UK. Fees Qualification MSc Home / UK £17,300 International £30,800 Additional information for international students If you are a student from the EU, EEA or Switzerland, you may be asked to complete a fee status questionnaire and your answers will be assessed using guidance issued by the UK Council for International Student Affairs (UKCISA). If you are studying part-time, you will be charged a proportion of this fee each year (subject to inflation). You should be able to access most of the books you’ll need through ",
"feesConfidence": 0.8,
"normalizedFees": {
"home": 17300,
"currency": "GBP",
"international": 30800
},
"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": "Meeting our English language requirements\nIf you need support to meet the required level, you may be able to attend a presessional English course. Presessional courses teach you academic skills in addition to English language. Our Centre for English Language Education is accredited by the British Council for the teaching of English in the UK.\nIf you successfully complete your presessional course to the required level, you can then progress to your degree course. This means that you won't need to retake IELTS or equivalent.\nFor on-campus presessional English courses, you must take IELTS for UKVI to meet visa regulations. For online presessional courses, see our CELE webpages for guidance",
"scrapedIeltsOverall": null,
"scrapedLangSourceUrl": null,
"scrapedTuitionFeeHome": 17300,
"scrapedTuitionFeeIntl": 30800,
"scrapedEntryRequirements": "Entry requirements All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2026 entry. Home / UK students EU / International students Alternative qualifications Undergraduate degree2:1 (or international equivalent) in a discipline with significant economics content, including microeconomics, macroeconomics, statistics and econometrics modules. We also require some sort of economics mathematics content. Generally, this is found in modules such as calculus, linear algebra, economics mathematics, or quantitative economics. Undergraduate degree2:1 (or international equivalent) in a discipline with significant economics content, including microeconomics, macroeconomics, statistics and econometrics modules. We also require some sort of economics mathematics content. Generally, this is found in modules such as calculus, linear algebra, economics mathematics, or quantitative economics. International and EU equ"
}