Computational Finance

Basic Information

Course ID
bf9de903-bb3f-4f66-b60e-e8a19c5e33c2
Option ID
e143a896-a552-4c68-a39d-568d3596ccaa
Provider
King's College London, University of London
Type
postgraduate
Academic Year
2026
Source
ucas
Created
2/22/2026, 3:28:35 AM
Updated
4/10/2026, 12:07:38 PM

Other Options for this Course

No other options

Listing Data (Raw)

{
  "id": "e143a896-a552-4c68-a39d-568d3596ccaa",
  "duration": {
    "quantity": 1,
    "durationType": {
      "id": "4",
      "caption": "Years",
      "mappedCaption": null
    }
  },
  "features": {
    "accelerated": false
  },
  "location": {
    "id": "13fe6f4f-d7a5-2d5b-6a39-23922b3922e5",
    "url": null,
    "name": "Strand Campus",
    "ukprn": null,
    "address": {
      "line1": "Strand",
      "line2": "Westminster",
      "line3": "",
      "line4": "London",
      "region": {
        "id": "42",
        "caption": "Greater London",
        "mappedCaption": "Greater London"
      },
      "country": {
        "id": "101",
        "caption": "England",
        "mappedCaption": "England"
      },
      "latitude": 51.5116116061,
      "postcode": "WC2R 2LS",
      "longitude": -0.1162529928
    },
    "isDefault": false,
    "geoLocation": {
      "latitude": 51.5116116061,
      "longitude": -0.1162529928
    },
    "tefCodeType": null,
    "locationCode": null,
    "googleMapsUrl": null,
    "googleMapsParams": null,
    "locationCategory": null,
    "geoLocationString": "51.5116116061,-0.1162529928"
  },
  "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": "bf9de903-bb3f-4f66-b60e-e8a19c5e33c2",
    "cpdFlag": false,
    "options": [
      {
        "id": "e143a896-a552-4c68-a39d-568d3596ccaa",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Please speak to the provider to make an application",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": null,
        "deadline": null,
        "duration": {
          "quantity": 1,
          "durationType": {
            "id": "4",
            "caption": "Years",
            "mappedCaption": null
          }
        },
        "features": {
          "accelerated": false
        },
        "location": {
          "id": "13fe6f4f-d7a5-2d5b-6a39-23922b3922e5",
          "url": null,
          "name": "Strand Campus",
          "ukprn": null,
          "address": {
            "line1": "Strand",
            "line2": "Westminster",
            "line3": "",
            "line4": "London",
            "region": {
              "id": "42",
              "caption": "Greater London",
              "mappedCaption": "Greater London"
            },
            "country": {
              "id": "101",
              "caption": "England",
              "mappedCaption": "England"
            },
            "latitude": 51.5116116061,
            "postcode": "WC2R 2LS",
            "longitude": -0.1162529928
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 51.5116116061,
            "longitude": -0.1162529928
          },
          "tefCodeType": null,
          "locationCode": null,
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.5116116061,-0.1162529928&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=Dy0F88ZjxTMoouEr2pQs1T1_D1o=",
          "googleMapsParams": "51.5116116061,-0.1162529928",
          "locationCategory": null,
          "geoLocationString": "51.5116116061,-0.1162529928"
        },
        "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": "2:1 undergraduate degree from a related quantitative or informatics discipline.\n\nIn order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme. \n\nApplicants should also provide evidence of studying calculus, linear algebra, programming and other related modules.",
        "internalReference": null,
        "providerCourseUrl": "https://www.kcl.ac.uk/study/postgraduate/taught-courses/computational-finance-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": "https://www.kcl.ac.uk/study/postgraduate/fees-and-funding/index",
        "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": "Computational Finance. King's College London, University of London. Computational mathematics. Mathematics",
    "summary": "The Computational Finance MSc will introduce students to the computational methods that are widely used by practitioners and financial institutions in today’s markets. This course will provide students with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics and agent-based modelling. These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency time scales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and crypto- currencies. The course is highly practical, and students will have the opportunity to apply their learning to real-world data and case studies in hands-on laboratory sessions. \n\n**Key benefits**\n- Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) and the Institution of Engineering and Technology (IET).\n\n\n- The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.\n\n\n- 92 per cent of research outputs ranked as world leading or internationally excellent – confirming the department’s position as a world-class institution for research in Computer Science (REF 2014).\n",
    "atasFlag": false,
    "contacts": [
      {
        "id": "5fd4b1cc-6fb7-5a7c-0bf6-19f979c6cf36",
        "fax": "",
        "email": "",
        "phone": "+44 (0) 20 7123 4843",
        "title": "King's Admissions Office",
        "isDefault": true,
        "hasCourses": false,
        "isClearing": false,
        "clearingUrl": null,
        "enquiryLink": {
          "url": null,
          "caption": null
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      },
      {
        "id": "0f4d32d7-d3a1-4f71-97e5-6ac361270721",
        "fax": null,
        "email": "newstudents@kcl.ac.uk",
        "phone": "+44 (0)20 7123 4843",
        "title": "King's Admissions Office",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": true,
        "clearingUrl": null,
        "enquiryLink": {
          "url": null,
          "caption": null
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      }
    ],
    "keywords": null,
    "provider": {
      "id": "5fd4b1cc-6fb7-5a7c-0bf6-19f979c6cf36",
      "name": "King's College London, University of London",
      "ukprn": 10003645,
      "address": {
        "line1": "Strand",
        "line2": "",
        "line3": "",
        "line4": "Westminster",
        "region": {
          "id": "27",
          "caption": "South East England",
          "mappedCaption": "South East England"
        },
        "country": {
          "id": "101",
          "caption": "England",
          "mappedCaption": "England"
        },
        "latitude": 51.5116116061,
        "postcode": "WC2R 2LS",
        "longitude": -0.1162529928
      },
      "aliases": [
        "KCL"
      ],
      "logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/5fd4b1cc-6fb7-5a7c-0bf6-19f979c6cf36",
      "aliasName": "King's College London, University of London (KCL)",
      "websiteUrl": "www.kcl.ac.uk",
      "liveProvider": true,
      "providerCode": null,
      "providerSort": "King's College London, University of London",
      "providerUrls": [],
      "imageLocation": "silver silver gold-01.png",
      "institutionCode": "K60",
      "providerShortName": "King's College London (University of London)",
      "cukasInstitutionCode": null,
      "requireAsciiDocuments": false,
      "providerAbbreviatedName": "KCL",
      "aliasNameWithoutApostrophe": "Kings College London, University of London (KCL)"
    },
    "subjects": [
      {
        "id": "1452",
        "caption": "Computational mathematics",
        "mappedCaption": null
      },
      {
        "id": "1447",
        "caption": "Mathematics",
        "mappedCaption": null
      }
    ],
    "auditions": [],
    "studyType": {
      "id": "1",
      "caption": "Taught",
      "mappedCaption": null
    },
    "department": {
      "id": "b4cbca81-e84c-87bf-4ef9-2e1a73432c7f",
      "name": "Informatics"
    },
    "hecosCodes": [
      {
        "hecosCode": {
          "code": "101029",
          "caption": "computational mathematics",
          "refDataId": "10735"
        },
        "percentageOfCourse": 100
      }
    ],
    "jacs3Codes": [],
    "publishEnd": "9999-12-31T23:59:59.9999999",
    "shortTitle": null,
    "specialism": {
      "primary": [],
      "secondary": [],
      "specialismStudyTypes": []
    },
    "visibleEnd": "2027-08-01T08:00:00",
    "compositeId": "bf9de903-bb3f-4f66-b60e-e8a19c5e33c2-2026",
    "courseTitle": "Computational Finance",
    "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": "3942",
        "caption": "King’s College London",
        "mappedCaption": null
      }
    ],
    "applicationCode": null,
    "courseTitleSort": "Computational Finance",
    "abbreviatedTitle": null,
    "balanceIndicator": null,
    "copyFormRequired": false,
    "internalReference": null,
    "currentlyInClearing": false,
    "ucasTeacherTraining": false,
    "degreeApprenticeship": false,
    "qualifiedTeacherStatus": null,
    "sponsorshipInformation": null,
    "internationalInformation": null,
    "courseTitleWithoutApostrophe": "Computational Finance",
    "additionalAuditionInformation": null,
    "higherTechnicalQualifications": false
  },
  "version": 27,
  "academicYearsInformation": {
    "2025": 1,
    "2026": 1
  }
}

Normalized Data

{
  "scrapedAt": "2026-04-10T12:07:38.084Z",
  "scrapedPte": null,
  "scrapedUrl": "https://www.kcl.ac.uk/study/postgraduate/taught-courses/computational-finance-msc",
  "scrapedToefl": null,
  "scrapedAiUsed": false,
  "scrapedFeeRaw": "Home fee status: 25 August 2026 (23:59 UK time)\nIf the programme becomes full before the final application deadlines stated above, we will close the programme to further applications.Please note, you will not be eligible for an application fee refund if we are unable to process further offers because places are filled and we close the course before the final application deadline.\nThis course information applied to 2026 entry only. The University may make changes to a programme of study or modules. See full disclaimer in our Terms and Conditions.\nPlease note that locations are determined by where each module is taught and may vary depending on the modules you study.\nStrand Campus feels like the heart of London—historic yet buzzing with energy. Nestled by the Thames, it offers world-class academics, vibrant student life, and endless inspiration from the city’s culture and diversity.\nOur Waterloo campus is home to the Florence Nightingale Faculty Nursing & Midwifery, and a vibrant hub for health, social science, and law students. Located moments from the iconic landmarks of South Bank and just a short walk to the Stand campus.",
  "feesConfidence": 0,
  "normalizedFees": {
    "home": null,
    "currency": null,
    "international": null
  },
  "scrapedAiError": null,
  "scrapedDuolingo": null,
  "scrapedTemplate": "kcl",
  "scrapedCambridge": null,
  "scrapedIeltsBand": null,
  "scrapedLangSource": "course_page",
  "languageConfidence": 0,
  "normalizedLanguage": {
    "pte": null,
    "ielts": null,
    "toefl": null,
    "duolingo": null,
    "cambridge": null
  },
  "scrapedLanguageRaw": "Key Information\n\nCourse type:\n\nMaster's\n\nDelivery mode:\n\nIn person\n\nStudy mode:\n\nFull-time\n\nDuration:\n\n1 year full-time\n\nCredit value:\n\nUK 180/ECTS 90\n\nApplication status:\n\nOpen\n\nStart date:\n\nSeptember 2026\n\nApplication deadlines:\n\nClosing date guidance\n\nApply now\n\nKey Links\n\nHow to apply\n\nRegister your interest\n\nChat to a student\n\nOrder a prospectus\n\nTaught in\n\nFaculty of Natural, Mathematical & Engineering Sciences\n\nDepartment of Informatics\n\nAdministrative bodies\n\nAwarding body\n\nKing's College London and Affiliates\n\nRegulating body\n\nKing's is regulated by the Office for students\n\nApplication closing date guidance\n\nWe encourage you to apply as early as possible so that there is sufficient time for your application to be assessed and we may need to request further information from you during the application process. Related courses\n\nArtificial Intelligence for Science MSc\n\n1 year full-time, September to September\n\nFull-time\n\nIn person\n\nAdvanced Computing MSc\n\nOne year full-time, September to September\n\nFull-time\n\nIn person\n\nAdvanced Software Engineering MSc\n\nOne year full-time, September to September\n\nFull-time\n\nIn person\n\nData Science MSc\n\n1 year full-time, September to September.",
  "scrapedIeltsOverall": null,
  "scrapedLangSourceUrl": null,
  "scrapedTuitionFeeHome": null,
  "scrapedTuitionFeeIntl": null,
  "scrapedEntryRequirements": "Skip to main content Computational Finance MSc Course menu OverviewTeaching & ModulesEntry requirementsFeesCareersDiscover more Overview Our Computational Finance MSc will equip you with the essential computational methods used in today’s financial institutions."
}
← Back to Courses