Financial Technologies and AI
Basic Information
- Course ID
31ff83d2-327b-4f3c-9ae9-ce66c50a0789- Option ID
e7f9b9ec-fec8-4655-98ab-6a19b95035da- Provider
- Lancaster University
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/22/2026, 7:29:37 AM
- Updated
- 5/14/2026, 7:43:18 AM
Other Options for this Course
No other options
Listing Data (Raw)
{
"id": "e7f9b9ec-fec8-4655-98ab-6a19b95035da",
"duration": {
"quantity": 12,
"durationType": {
"id": "3",
"caption": "Months",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "fc82e463-f722-47ad-afed-6fe604ce2a02",
"url": null,
"name": "Main Site",
"ukprn": null,
"address": {
"line1": "Admissions",
"line2": "Bailrigg",
"line3": "",
"line4": "Lancaster",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 54.0104175338,
"postcode": "LA1 4YW",
"longitude": -2.7864508738
},
"isDefault": false,
"geoLocation": {
"latitude": 54.0104175338,
"longitude": -2.7864508738
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": null,
"googleMapsParams": null,
"locationCategory": null,
"geoLocationString": "54.0104175338,-2.7864508738"
},
"startDate": {
"date": "01/10/2026",
"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": "31ff83d2-327b-4f3c-9ae9-ce66c50a0789",
"cpdFlag": false,
"options": [
{
"id": "e7f9b9ec-fec8-4655-98ab-6a19b95035da",
"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": 12,
"durationType": {
"id": "3",
"caption": "Months",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "fc82e463-f722-47ad-afed-6fe604ce2a02",
"url": null,
"name": "Main Site",
"ukprn": null,
"address": {
"line1": "Admissions",
"line2": "Bailrigg",
"line3": "",
"line4": "Lancaster",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "000",
"caption": "United Kingdom",
"mappedCaption": "England"
},
"latitude": 54.0104175338,
"postcode": "LA1 4YW",
"longitude": -2.7864508738
},
"isDefault": false,
"geoLocation": {
"latitude": 54.0104175338,
"longitude": -2.7864508738
},
"tefCodeType": null,
"locationCode": "-",
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C54.0104175338,-2.7864508738&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=QGKelCUeOAxgbG70qwwehOdQYio=",
"googleMapsParams": "54.0104175338,-2.7864508738",
"locationCategory": null,
"geoLocationString": "54.0104175338,-2.7864508738"
},
"startDate": {
"date": "01/10/2026",
"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": "Assessment methods include coursework, examinations and a dissertation.",
"entryRequirements": "2:2 Hons degree (UK or equivalent) in Finance/Economics with strong quantitative components, or STEM (Mathematics, Engineering, Physics, Computer and Data Science, and related disciplines).\n\nStudents with other business, social and natural science related degrees are encouraged to apply, provided they can demonstrate strong quantitative skills.\n\nWe assess applicants based on their overall academic performance, typically putting more emphasis on strong results in quantitative modules. Relevant work experience and/or significant programming skills are also viewed favourably.\n\nWe may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications.",
"internalReference": null,
"providerCourseUrl": "https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/financial-technologies-and-ai-msc/2026/",
"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 information about fees and funding please visit our website: www.lancaster.ac.uk/study/fees-and-funding.",
"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": "Financial Technologies and AI. Lancaster University. Accounting. Financial decision making. Business studies. Financial services. Decision making. Artificial intelligence",
"summary": "If you aspire to lead the future of finance, our MSc Financial Technologies and Artificial Intelligence (AI) is designed for you. The programme’s versatile curriculum will open doors to many high-value professions at the intersection of finance and technology, where expertise in AI and financial innovation is increasingly rewarded.\n\nMSc Financial Technologies and AI is a unique programme that combines classical quantitative finance techniques with cutting-edge developments in financial technology and big data analysis, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting. Graduates can pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and FinTech firms.\n\n**Master quantitative skills and AI applications**\nYou will develop quantitative trading skills, employing sophisticated strategies that leverage the power of data and technology. You will master financial and quantitative risk management tools, learning to identify, analyse and manage risks. You will learn to conduct rigorous simulation analyses and stress tests, ensuring resilience and strategic foresight in decision-making. You will also discover pioneering methods to predict financial and economic trends using AI-driven tools and techniques, all tailored to the world of big data.\n\n**Deep dive into financial markets**\nThis programme will help you build a deep understanding of financial markets and key financial instruments and their pricing techniques. You will learn how to develop and price new financial instruments and quantitatively assess their risks. You will gain expertise in modelling financial processes and will be able to apply this knowledge to empirical asset pricing and risk management.\n\n**Hands-on with data analytics and programming**\nYou will get comprehensive training in data analytics tools, machine learning techniques, and AI applications for financial data analysis, including big and high-frequency data. You will also become familiar with alternative asset classes such as hedge cryptocurrencies and their associated risks. You will gain practical experience in programming languages (eg, Python and R) and you will work with key financial databases such as DataStream and Bloomberg.\n\nThese combined skills will enable you to perform comprehensive financial and quantitative analysis from model development through testing and implementation using real data.\n\n**Core modules and customisation**\nDuring the taught part of your master’s programme, you will take six core modules, developing your skills and knowledge in financial technologies and data analysis. One core module is a transferrable skills module, which develops your soft skills, database management skills, and coding skills. You will also take one optional module, which allows you to tailor your degree to your personal interests.\n\nIn the summer, you will integrate all your acquired knowledge in an individual research-driven dissertation project. This project provides hands-on experience with real-world quantitative research while developing your research planning, time-management and written communication skills.",
"atasFlag": false,
"contacts": [
{
"id": "dba9345e-3b6c-409b-a84d-0cd5fe76ad4b",
"fax": null,
"email": "pgadmissions@lancaster.ac.uk",
"phone": "+44 (0)1524 592032",
"title": "Admissions Office PG",
"isDefault": false,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": null,
"caption": null
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
},
{
"id": "01510954-ca25-4229-92f1-c0c64db918cc",
"fax": null,
"email": "clearing@lancaster.ac.uk",
"phone": "",
"title": "Lancaster University Clearing",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": "https://www.lancaster.ac.uk/study/clearing/",
"enquiryLink": {
"url": "https://www.lancaster.ac.uk/study/clearing/apply/",
"caption": "Apply to Lancaster University through Clearing"
},
"availability": "",
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
}
],
"keywords": null,
"provider": {
"id": "058545dd-9b74-4129-217d-dd59394240e8",
"name": "Lancaster University",
"ukprn": 10007768,
"address": {
"line1": "Bailrigg",
"line2": "",
"line3": "",
"line4": "Lancaster",
"region": {
"id": "22",
"caption": "North West England",
"mappedCaption": "North West England"
},
"country": {
"id": "101",
"caption": "England",
"mappedCaption": "England"
},
"latitude": 54.0104175338,
"postcode": "LA1 4YW",
"longitude": -2.7864508738
},
"aliases": [
""
],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/058545dd-9b74-4129-217d-dd59394240e8",
"aliasName": "Lancaster University",
"websiteUrl": "https://www.lancaster.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "Lancaster University",
"providerUrls": [],
"imageLocation": "gold silver gold-01.png",
"institutionCode": "L14",
"providerShortName": "Lancaster University",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "LANCR",
"aliasNameWithoutApostrophe": "Lancaster University"
},
"subjects": [
{
"id": "352",
"caption": "Accounting",
"mappedCaption": null
},
{
"id": "373",
"caption": "Financial decision making",
"mappedCaption": null
},
{
"id": "351",
"caption": "Business studies",
"mappedCaption": null
},
{
"id": "2358",
"caption": "Financial services",
"mappedCaption": null
},
{
"id": "372",
"caption": "Decision making",
"mappedCaption": null
},
{
"id": "1038",
"caption": "Artificial intelligence",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "5d473946-8267-8ca0-1e96-4f9a4329a254",
"name": "Accounting and Finance"
},
"hecosCodes": [],
"jacs3Codes": [],
"publishEnd": "9999-12-31T23:59:59.9999999",
"shortTitle": null,
"specialism": {
"primary": [],
"secondary": [],
"specialismStudyTypes": []
},
"visibleEnd": "2027-08-01T08:00:00",
"compositeId": "31ff83d2-327b-4f3c-9ae9-ce66c50a0789-2026",
"courseTitle": "Financial Technologies and AI",
"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": "568",
"caption": "Lancaster University",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Financial Technologies and AI",
"abbreviatedTitle": null,
"balanceIndicator": null,
"copyFormRequired": false,
"internalReference": null,
"currentlyInClearing": false,
"ucasTeacherTraining": false,
"degreeApprenticeship": false,
"qualifiedTeacherStatus": null,
"sponsorshipInformation": null,
"internationalInformation": null,
"courseTitleWithoutApostrophe": "Financial Technologies and AI",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 8,
"academicYearsInformation": {
"2025": 1,
"2026": 1
}
}
Normalized Data
{
"tuition": {
"scrapedFeeRaw": "Your qualifications Programme cost without scholarship International Regional Scholarship or India Scholarship LUMS Master's Excellence Scholarship You pay 1st class degree £30,000 £10,000 - £20,000 2:1 degree £30,000 £10,000 - £20,000 2:2 degree £30,000 - £3,000 £27,000 Your qualifications Programme cost without scholarship LUMS Master's Excellence Scholarship You pay 1st class degree £30,000 £6,000 £24,000 2:1 degree £30,000 £4,500 £25,500 2:2 degree £30,000 £3,000 £27,000 Your qualifications Programme cost without scholarship Scholarship award You pay 1st class degree £16,270 30% £11,389",
"feesConfidence": 0.8,
"normalizedFees": {
"home": 16270,
"currency": "GBP",
"international": 30000
},
"scrapedTemplate": "lancaster",
"scrapedTuitionFeeHome": 16270,
"scrapedTuitionFeeIntl": 30000
},
"scrapedAt": "2026-05-14T07:43:17.846Z",
"courseType": "postgraduate",
"scrapedPte": null,
"scrapedUrl": "https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/financial-technologies-and-ai-msc/2026/",
"scrapedToefl": null,
"scrapedAiUsed": false,
"scrapedFeeRaw": "Your qualifications Programme cost without scholarship International Regional Scholarship or India Scholarship LUMS Master's Excellence Scholarship You pay 1st class degree £30,000 £10,000 - £20,000 2:1 degree £30,000 £10,000 - £20,000 2:2 degree £30,000 - £3,000 £27,000 Your qualifications Programme cost without scholarship LUMS Master's Excellence Scholarship You pay 1st class degree £30,000 £6,000 £24,000 2:1 degree £30,000 £4,500 £25,500 2:2 degree £30,000 £3,000 £27,000 Your qualifications Programme cost without scholarship Scholarship award You pay 1st class degree £16,270 30% £11,389",
"feesConfidence": 0.8,
"normalizedFees": {
"home": 16270,
"currency": "GBP",
"international": 30000
},
"scrapedAiError": null,
"entrySkipReason": null,
"scrapedDuolingo": null,
"scrapedTemplate": "lancaster",
"scrapedCambridge": null,
"scrapedIeltsBand": 6,
"entryRequirements": "Academic requirements 2:2 Hons degree (UK or equivalent) in Finance/Economics with strong quantitative components, or STEM (Mathematics, Engineering, Physics, Computer and Data Science, and related disciplines). Students with other business, social and natural science related degrees are encouraged to apply, provided they can demonstrate strong quantitative skills. quantitative analyst data scientist risk manager quantitative trader investment analyst portfolio manager algorithmic trading strategist financial engineer fintech developer machine learning engineer quantitative researcher model developer model validation specialist cryptocurrency analyst high-frequency trading developer Graduates can also choose to continue into PhD programmes or establish their own fintech ventures. accordion Show all sections International students Students from Bangladesh, Egypt, Ghana, India, Indonesia, Kenya, Malaysia, Nepal, Nigeria, Pakistan, Sri Lanka, Taiwan, Thailand, Turkey or Vietnam Your quali",
"scrapedCourseType": "postgraduate",
"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\nWe require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test.\nWe also consider other English language qualifications and if your score is below our requirements, you may be eligible for one of our pre-sessional English language programmes.\nHelp from our Admissions team\nIf you are thinking of applying to Lancaster and you would like to ask us a question, complete our enquiry form and one of the team will get back to you.\nWe also have more details on our website about:",
"scrapedIeltsOverall": 6.5,
"scrapedLangSourceUrl": null,
"scrapedTuitionFeeHome": 16270,
"scrapedTuitionFeeIntl": 30000,
"scrapedEntrySkipReason": null,
"entryRequirementsSkipped": false,
"scrapedEntryRequirements": "Academic requirements 2:2 Hons degree (UK or equivalent) in Finance/Economics with strong quantitative components, or STEM (Mathematics, Engineering, Physics, Computer and Data Science, and related disciplines). Students with other business, social and natural science related degrees are encouraged to apply, provided they can demonstrate strong quantitative skills. quantitative analyst data scientist risk manager quantitative trader investment analyst portfolio manager algorithmic trading strategist financial engineer fintech developer machine learning engineer quantitative researcher model developer model validation specialist cryptocurrency analyst high-frequency trading developer Graduates can also choose to continue into PhD programmes or establish their own fintech ventures. accordion Show all sections International students Students from Bangladesh, Egypt, Ghana, India, Indonesia, Kenya, Malaysia, Nepal, Nigeria, Pakistan, Sri Lanka, Taiwan, Thailand, Turkey or Vietnam Your quali",
"scrapedEntryRequirementsSkipped": false
}