Economics (Econometrics and Big Data)
Basic Information
- Course ID
9b5db6b5-e951-49a5-92e7-92b31d2d39be- Option ID
9ab68e71-2103-4b51-89ac-29ad1f855652- Provider
- University of Surrey
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/22/2026, 5:44:38 AM
- Updated
- 3/27/2026, 10:20:32 AM
Other Options for this Course
No other options
Listing Data (Raw)
{
"id": "9ab68e71-2103-4b51-89ac-29ad1f855652",
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "25343ff2-d07a-4a53-8365-6da8e4a250fc",
"url": null,
"name": "Stag Hill",
"ukprn": null,
"address": {
"line1": "Stag Hill",
"line2": "",
"line3": null,
"line4": "Guildford",
"region": {
"id": "27",
"caption": "South East England",
"mappedCaption": "South East England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 51.2425718267,
"postcode": "GU2 7XH",
"longitude": -0.587945889
},
"isDefault": false,
"geoLocation": {
"latitude": 51.2425718267,
"longitude": -0.587945889
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": null,
"googleMapsParams": null,
"locationCategory": {
"id": "10000",
"caption": "Main Site",
"mappedCaption": null
},
"geoLocationString": "51.2425718267,-0.587945889"
},
"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": "9b5db6b5-e951-49a5-92e7-92b31d2d39be",
"cpdFlag": false,
"options": [
{
"id": "9ab68e71-2103-4b51-89ac-29ad1f855652",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "To see the full range of modules for this course please visit our website – the link is under the Course contact details, to the bottom right. You will also find full details of the programme, including programme structure and Graduate prospects etc.",
"deadline": null,
"duration": {
"quantity": 1,
"durationType": {
"id": "4",
"caption": "Years",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "25343ff2-d07a-4a53-8365-6da8e4a250fc",
"url": null,
"name": "Stag Hill",
"ukprn": null,
"address": {
"line1": "Stag Hill",
"line2": "",
"line3": null,
"line4": "Guildford",
"region": {
"id": "27",
"caption": "South East England",
"mappedCaption": "South East England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 51.2425718267,
"postcode": "GU2 7XH",
"longitude": -0.587945889
},
"isDefault": false,
"geoLocation": {
"latitude": 51.2425718267,
"longitude": -0.587945889
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.2425718267,-0.587945889&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=ZTXViss_mSHZ6bp2p5a6ve7uY4s=",
"googleMapsParams": "51.2425718267,-0.587945889",
"locationCategory": {
"id": "10000",
"caption": "Main Site",
"mappedCaption": null
},
"geoLocationString": "51.2425718267,-0.587945889"
},
"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.surrey.ac.uk/postgraduate/economics-econometrics-and-big-data-msc#apply",
"assessmentMethods": null,
"entryRequirements": "A minimum of a 2:2 UK honours degree in accounting, business, chemistry, computer science, economics, engineering, finance, mathematics, physics or statistics.\n\nAlternatively, another degree subject including 60 per cent (UK or equivalent) in macroeconomics and microeconomics and 60 per cent (UK or equivalent) in one module from algebra, calculus, mathematics, probability, quantitative methods or statistics.\n\nApplicants not meeting the above requirements but have demonstrable exposure to sufficient mathematics, statistics or economics may still be considered.\n\nEnglish language requirements\nIELTS Academic: 6.5 overall with 6.0 in each element.",
"internalReference": null,
"providerCourseUrl": "https://www.surrey.ac.uk/postgraduate/economics-econometrics-and-big-data-msc",
"professionalBodies": [
{
"id": "1236",
"caption": "Chartered Institute of Management Accountants",
"mappedCaption": null
}
],
"qualificationLevel": {
"id": "RQF_7",
"caption": "RQF Level 7",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "FEES:\nFor current information regarding postgraduate fees, please visit the course page on our website. The link is under Course contact details.\n\nSCHOLARSHIPS AND BURSARIES:\nDiscover how we may be able to support your postgraduate taught studies with a host of bursaries and scholarships directly from the University of Surrey and external providers: \nhttps://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries?field_student_level_value[postgraduate]=postgraduate",
"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 (Econometrics and Big Data). University of Surrey. Economics. Econometrics. Data analysis",
"summary": "**Why choose this course**\n- Policy-makers, such as central banks, businesses and finance companies, increasingly use large and complex datasets to further their aims and discover trends and extract value. There is now a need for professionals with the right theoretical and practical knowledge who can carry out data analysis using the right machine-learning and econometric estimation techniques. This masters will give you the training to work in this expert field.\n\n\n- Our MSc in Economics (Econometrics and Big Data) will help you build on your undergraduate studies to develop advanced capabilities in this discipline with an emphasis on quantitative techniques and their applications using big data.\n\n\n- Graduates of our economics postgraduate courses are highly successful in securing quality jobs. Recent economics graduates have gone on to work with well-known employers, such as KPMG, Barclays, Wood Mackenzie, Capital Economics, Aviva Investors and Lloyds Banking Group.\n\n\n- This masters degree is accredited by the Chartered Institute of Management Accountants (CIMA), fast-tracking your career by giving you exemption from some professional examinations.\n\n\n- The programme is designed to prepare you for a range of careers in which econometrics and machine-learning skills are required to analyse complex economic problems and provide innovative solutions. Graduates of the programme are also well placed for further study in economics or econometrics.\n\n\n**What you will study**\nOur MSc Economics (Econometrics and Big Data) covers the core areas of microeconomics, macroeconomics, and econometrics in which you will develop a systematic understanding to position yourself at the forefront of the discipline.\n\nAs well as acquiring outstanding theoretical knowledge, you will also learn how to use machine-learning methods for data reduction and prediction, and apply econometric techniques suited to large datasets.\n\nChoice is built into the second semester where you can further shape your programme of study by selecting two modules to suit your strengths, preferences and/or career aspirations. You will be able to choose from modules such as Financial Econometrics and Mathematics of Data Science among others.\n\nAlternatively, you can switch to the MSc Economics programme. \n\nAs is the case with all our masters programmes, the MSc in Economics (Econometrics and Big Data) features a series of lectures and workshops in research methods that will allow you to build the skills you need to carry out independent research in economics and complete your dissertation in the summer.",
"atasFlag": false,
"contacts": [
{
"id": "6f0298e8-506c-4108-b800-cca76860f599",
"fax": null,
"email": "admissions@surrey.ac.uk",
"phone": "+44(0)1483 682222",
"title": "Admissions",
"isDefault": true,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": true,
"socialMediaPresences": [
{
"id": "fb",
"url": "https://www.facebook.com/universityofsurrey",
"caption": "Facebook"
},
{
"id": "tw",
"url": "https://twitter.com/UniOfSurrey",
"caption": "Twitter"
},
{
"id": "li",
"url": "https://www.linkedin.com/school/8369",
"caption": "LinkedIn"
},
{
"id": "ig",
"url": "https://instagram.com/uniofsurrey",
"caption": "Instagram"
},
{
"id": "yt",
"url": "https://www.youtube.com/UniversityofSurrey",
"caption": "Youtube"
}
]
},
{
"id": "f837d8b7-e607-442e-ba43-e65901944c18",
"fax": null,
"email": null,
"phone": "0800 0522248",
"title": "Clearing",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": "https://www.surrey.ac.uk/clearing",
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": [
{
"id": "fb",
"url": "https://www.facebook.com/universityofsurrey",
"caption": "Facebook"
},
{
"id": "ig",
"url": "https://instagram.com/uniofsurrey",
"caption": "Instagram"
},
{
"id": "li",
"url": "https://www.linkedin.com/school/8369",
"caption": "LinkedIn"
},
{
"id": "tw",
"url": "https://twitter.com/UniOfSurrey",
"caption": "Twitter"
},
{
"id": "yt",
"url": "https://www.youtube.com/UniversityofSurrey",
"caption": "Youtube"
}
]
}
],
"keywords": null,
"provider": {
"id": "5ea13bf3-a5ff-0ec1-873b-f3842afb46a6",
"name": "University of Surrey",
"ukprn": 10007160,
"address": {
"line1": "",
"line2": "",
"line3": "",
"line4": "Guildford",
"region": {
"id": "27",
"caption": "South East England",
"mappedCaption": "South East England"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 51.2425718267,
"postcode": "GU2 7XH",
"longitude": -0.587945889
},
"aliases": [],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/5ea13bf3-a5ff-0ec1-873b-f3842afb46a6",
"aliasName": "University of Surrey",
"websiteUrl": "www.surrey.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "Surrey, University of",
"providerUrls": [],
"imageLocation": "silver silver silver-01.png",
"institutionCode": "S85",
"providerShortName": "University of Surrey",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "SURR",
"aliasNameWithoutApostrophe": "University of Surrey"
},
"subjects": [
{
"id": "1549",
"caption": "Economics",
"mappedCaption": null
},
{
"id": "1553",
"caption": "Econometrics",
"mappedCaption": null
},
{
"id": "2520",
"caption": "Data analysis",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "75d9a04f-1804-7958-b6e7-524dda47d98b",
"name": "FABSS - 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": "9b5db6b5-e951-49a5-92e7-92b31d2d39be-2026",
"courseTitle": "Economics (Econometrics and Big Data)",
"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": "1012",
"caption": "University of Surrey",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Economics (Econometrics and Big Data)",
"abbreviatedTitle": null,
"balanceIndicator": null,
"copyFormRequired": false,
"internalReference": null,
"currentlyInClearing": false,
"ucasTeacherTraining": false,
"degreeApprenticeship": false,
"qualifiedTeacherStatus": null,
"sponsorshipInformation": "The University of Surrey offers a range of scholarships and bursaries to support our students, please visit https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries for more details.",
"internationalInformation": "We are proud to be one of the most culturally diverse universities in the UK, with more than 140 nationalities playing a role in university life. Our International Recruitment team are here to help you throughout the application process – from advising on choosing the right course to applying for a visa and preparing for your first few weeks at Surrey. You can contact them via international@surrey.ac.uk Applicants who require a Student Visa to study in the UK: To apply for a Student Visa, you must have a Confirmation of Acceptance (CAS) for the University you wish to study at. This is a unique number which will enable you to apply for your visa. The University is under no legal obligation to sponsor any individual and exercises caution with respect to issuing a Confirmation of Acceptance for Studies (CAS) to avoid risking its status as a Student sponsor. Confirmation of Acceptance to Study (CAS) will be issued in accordance with the Student Route and CAS Issuing Policy, available at: https://www.surrey.ac.uk/apply/policies",
"courseTitleWithoutApostrophe": "Economics (Econometrics and Big Data)",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 19,
"academicYearsInformation": {
"2025": 1,
"2026": 1
}
}
Normalized Data
{
"scrapedAt": "2026-03-27T10:20:32.339Z",
"scrapedPte": null,
"scrapedUrl": "https://www.surrey.ac.uk/postgraduate/economics-econometrics-and-big-data-msc",
"scrapedToefl": null,
"scrapedAiUsed": false,
"scrapedFeeRaw": "UK fees £11,300 Overseas fees £21,900 Fees and funding Open",
"feesConfidence": 0.8,
"normalizedFees": {
"home": 11300,
"currency": "GBP",
"international": 21900
},
"scrapedAiError": null,
"scrapedDuolingo": null,
"scrapedTemplate": "drupal",
"scrapedCambridge": null,
"scrapedIeltsBand": 6,
"scrapedLangSource": "course_page",
"languageConfidence": 0.9,
"normalizedLanguage": {
"pte": null,
"ielts": {
"overall": 6.5,
"min_component": 6
},
"toefl": null,
"duolingo": null,
"cambridge": null
},
"scrapedLanguageRaw": "English language requirements\nIELTS Academic: 6.5 overall with 6.0 in each element.\nThese are the English language qualifications and levels that we can accept.\nIf you do not currently meet the level required for your programme, we offer intensive pre-sessional English language courses, designed to take you to the level of English ability and skill required for your studies here.\nCredit Transfer and Recognition of Prior Learning\nWe recognise that many students enter their course with valuable knowledge and skills developed through a range of ways.\nIf this applies to you, the recognition of prior learning process may mean you can join a course without the formal entry requirements, or at a point appropriate to your previous learning and experience.\nThere are restrictions for some courses and fees may be payable for certain claims. Please contact the Admissions team with any queries.",
"scrapedIeltsOverall": 6.5,
"scrapedLangSourceUrl": null,
"scrapedTuitionFeeHome": 11300,
"scrapedTuitionFeeIntl": 21900,
"scrapedEntryRequirements": "Typical offer 2:2 minimum Entry requirements Open"
}