Data Science

Basic Information

Course ID
0ce93a7c-41dc-2ee8-3104-cef68f5f0449
Option ID
e6fbb213-0f77-475e-b5dd-0cddd530ca22
Provider
University of Southampton
Type
postgraduate
Academic Year
2026
Source
ucas
Created
2/22/2026, 4:46:36 AM
Updated
3/27/2026, 10:08:20 AM

Other Options for this Course

No other options

Listing Data (Raw)

{
  "id": "e6fbb213-0f77-475e-b5dd-0cddd530ca22",
  "duration": {
    "quantity": 1,
    "durationType": {
      "id": "4",
      "caption": "Years",
      "mappedCaption": null
    }
  },
  "features": {
    "accelerated": false
  },
  "location": {
    "id": "9a36f07f-2850-4409-a04f-3b1c0a83fd2e",
    "url": null,
    "name": "Main Site - Highfield Campus",
    "ukprn": null,
    "address": {
      "line1": "Highfield",
      "line2": "",
      "line3": null,
      "line4": "Southampton",
      "region": {
        "id": "27",
        "caption": "South East England",
        "mappedCaption": "South East England"
      },
      "country": {
        "id": "000",
        "caption": "United Kingdom",
        "mappedCaption": "England"
      },
      "latitude": 50.9340991716,
      "postcode": "SO17 1BJ",
      "longitude": -1.3957143859
    },
    "isDefault": false,
    "geoLocation": {
      "latitude": 50.9340991716,
      "longitude": -1.3957143859
    },
    "tefCodeType": null,
    "locationCode": "-",
    "googleMapsUrl": null,
    "googleMapsParams": null,
    "locationCategory": null,
    "geoLocationString": "50.9340991716,-1.3957143859"
  },
  "startDate": {
    "date": "14/09/2026",
    "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": "0ce93a7c-41dc-2ee8-3104-cef68f5f0449",
    "cpdFlag": false,
    "options": [
      {
        "id": "e6fbb213-0f77-475e-b5dd-0cddd530ca22",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Please speak to the provider to make an application",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": "Compulsory modules include: Data Visualisation; Foundations of Data Science; Foundations of Machine Learning; MSc Project; Machine Learning Technologies; Research Methods and Project Preparation \nOptional modules include: Advanced Machine Learning; Algorithic Game Theory; Bayesian, Active and Reinforcement Learning; Computational Finance; Data Mining; Deep Learning; Differentiable Programming and Deep Learning; Evolution of Complexity; Knowledge Graphs for AI Systems; Mobile Applications Development; Natural Language Processing; Optimisation for machine learning; Simulation Modelling for Computer Science, Social Media and Network Science.",
        "deadline": null,
        "duration": {
          "quantity": 1,
          "durationType": {
            "id": "4",
            "caption": "Years",
            "mappedCaption": null
          }
        },
        "features": {
          "accelerated": false
        },
        "location": {
          "id": "9a36f07f-2850-4409-a04f-3b1c0a83fd2e",
          "url": null,
          "name": "Main Site - Highfield Campus",
          "ukprn": null,
          "address": {
            "line1": "Highfield",
            "line2": "",
            "line3": null,
            "line4": "Southampton",
            "region": {
              "id": "27",
              "caption": "South East England",
              "mappedCaption": "South East England"
            },
            "country": {
              "id": "000",
              "caption": "United Kingdom",
              "mappedCaption": "England"
            },
            "latitude": 50.9340991716,
            "postcode": "SO17 1BJ",
            "longitude": -1.3957143859
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 50.9340991716,
            "longitude": -1.3957143859
          },
          "tefCodeType": null,
          "locationCode": "-",
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C50.9340991716,-1.3957143859&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=jMKtCht-5w3XPCGDkFq-_4jDraM=",
          "googleMapsParams": "50.9340991716,-1.3957143859",
          "locationCategory": null,
          "geoLocationString": "50.9340991716,-1.3957143859"
        },
        "startDate": {
          "date": "14/09/2026",
          "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.southampton.ac.uk/courses/data-science-masters-msc?utm_source=-pg-aggregator&utm_medium=&utm_content=apply&utm_campaign=PG2026#apply",
        "assessmentMethods": "Coursework, examinations, written project (design, development or experimental) and dissertation",
        "entryRequirements": "You'll need a 2.1 degree in computer science, software engineering, computer engineering or maths/statistics or physics. Specific module requirements also apply. Please see website.",
        "internalReference": null,
        "providerCourseUrl": "https://www.southampton.ac.uk/courses/data-science-masters-msc?utm_source=-pg-aggregator&utm_medium=&utm_content=course&utm_campaign=PG2026",
        "professionalBodies": [
          {
            "id": "4886",
            "caption": "British Computer Society",
            "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": "https://www.southampton.ac.uk/courses/fees/postgraduate.page",
        "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": "Data Science. University of Southampton. Computer science. Statistical computing. Information technology",
    "summary": "This one-year MSc programme will prepare you to become a proficient data scientist, developing your specialist knowledge in subjects that are crucial for mastering the vast and ever-more complex information landscape that is characteristic of modern, digitally empowered organisations. You will gain advanced knowledge in areas such as data mining, machine learning, and data visualisation, including state-of-the-art techniques, programming toolkits, and industrial and societal application scenarios. In an era increasingly shaped by Generative AI, where data is the foundational fuel driving innovation, this programme equips you with skills to harness, analyse, and apply data effectively in this exciting new landscape.",
    "atasFlag": false,
    "contacts": [
      {
        "id": "d1713890-fd88-4f06-8b86-58693e6bab21",
        "fax": null,
        "email": "AdmissionsPGT.EPS@soton.ac.uk",
        "phone": "023 8059 4732",
        "title": "Postgraduate Taught Admissions - Faculty of Engineering and Physical Sciences",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": false,
        "clearingUrl": null,
        "enquiryLink": {
          "url": null,
          "caption": null
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      },
      {
        "id": "d66e51e8-f8d6-4adf-bb06-8471ce611c09",
        "fax": null,
        "email": "admissions@southampton.ac.uk",
        "phone": "023 8059 4732",
        "title": "Clearing and Confirmation Hotline",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": true,
        "clearingUrl": "https://www.southampton.ac.uk/clearing",
        "enquiryLink": {
          "url": "https://app.geckoform.com/public/#/modern/21FO00fmswcy3c00a4h9k0luys",
          "caption": "Apply to us in Clearing"
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      }
    ],
    "keywords": null,
    "provider": {
      "id": "0f5d882f-2ebe-1b13-fc9d-98363e55d1d4",
      "name": "University of Southampton",
      "ukprn": 10007158,
      "address": {
        "line1": "Highfield",
        "line2": "",
        "line3": "",
        "line4": "Southampton",
        "region": {
          "id": "27",
          "caption": "South East England",
          "mappedCaption": "South East England"
        },
        "country": {
          "id": "101",
          "caption": "England",
          "mappedCaption": "England"
        },
        "latitude": 50.9340991716,
        "postcode": "SO17 1BJ",
        "longitude": -1.3957143859
      },
      "aliases": [],
      "logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/0f5d882f-2ebe-1b13-fc9d-98363e55d1d4",
      "aliasName": "University of Southampton",
      "websiteUrl": "www.southampton.ac.uk",
      "liveProvider": true,
      "providerCode": null,
      "providerSort": "Southampton, University of",
      "providerUrls": [],
      "imageLocation": "silver silver silver-01.png",
      "institutionCode": "S27",
      "providerShortName": "University of Southampton",
      "cukasInstitutionCode": null,
      "requireAsciiDocuments": false,
      "providerAbbreviatedName": "SOTON",
      "aliasNameWithoutApostrophe": "University of Southampton"
    },
    "subjects": [
      {
        "id": "1037",
        "caption": "Computer science",
        "mappedCaption": null
      },
      {
        "id": "1045",
        "caption": "Statistical computing",
        "mappedCaption": null
      },
      {
        "id": "1027",
        "caption": "Information technology",
        "mappedCaption": null
      }
    ],
    "auditions": [],
    "studyType": {
      "id": "1",
      "caption": "Taught",
      "mappedCaption": null
    },
    "department": {
      "id": "16be0072-2069-91d4-d01d-f95989e20999",
      "name": "Electronics and Computer Science"
    },
    "hecosCodes": [
      {
        "hecosCode": {
          "code": "100366",
          "caption": "computer science",
          "refDataId": "10257"
        },
        "percentageOfCourse": 100
      }
    ],
    "jacs3Codes": [],
    "publishEnd": "9999-12-31T23:59:59.9999999",
    "shortTitle": null,
    "specialism": {
      "primary": [],
      "secondary": [],
      "specialismStudyTypes": []
    },
    "visibleEnd": "2027-08-01T08:00:00",
    "compositeId": "0ce93a7c-41dc-2ee8-3104-cef68f5f0449-2026",
    "courseTitle": "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": "943",
        "caption": "University of Southampton",
        "mappedCaption": null
      }
    ],
    "applicationCode": null,
    "courseTitleSort": "Data Science",
    "abbreviatedTitle": null,
    "balanceIndicator": null,
    "copyFormRequired": false,
    "internalReference": null,
    "currentlyInClearing": false,
    "ucasTeacherTraining": false,
    "degreeApprenticeship": false,
    "qualifiedTeacherStatus": null,
    "sponsorshipInformation": "A variety of scholarships, grants and bursaries may be available to help you fund your master’s study, both from the University and from other organisations. Please check the website for more information - https://www.southampton.ac.uk/courses/funding/postgraduate.page",
    "internationalInformation": "If English is not your first language, you will need to demonstrate your English ability by meeting our Band C requirements: IELTS 6.5 overall, with a minimum of 6.0 in all components. For information on other accepted English language tests, please see our website.",
    "courseTitleWithoutApostrophe": "Data Science",
    "additionalAuditionInformation": null,
    "higherTechnicalQualifications": false
  },
  "version": 77,
  "academicYearsInformation": {
    "2025": 1,
    "2026": 1
  }
}

Normalized Data

{
  "scrapedAt": "2026-03-26T18:47:48.001Z",
  "scrapedPte": null,
  "scrapedUrl": "https://www.southampton.ac.uk/courses/data-science-masters-msc?utm_source=-pg-aggregator&utm_medium=&utm_content=course&utm_campaign=PG2026",
  "scrapedToefl": null,
  "scrapedAiUsed": false,
  "scrapedFeeRaw": "Fees, costs and funding Tuition fees Fees for a year's study: UK students pay £10,400. EU and international students pay £35,000. Check fees for other versions of this course. Deposit If you're an international student on a full-time course, we'll ask you to pay £2,000 of your tuition fees in advance, as a deposit.Your offer letter will tell you when this should be paid and provide full terms and conditions.Find out about exemptions, refunds and how to pay your deposit on our tuition fees for overseas students page. What your fees pay for Your tuition fee covers the full cost of tuition and any exams. The fee you pay will remain the same each year from when you start studying this course. This includes if you suspend and return.Find out how to pay your tuition fees. Accommodation and living costs, such as travel and food, are not included in your tuition fees. There may also be extra costs for retake and professional exams.Explore:accommodation costsliving costsbudgeting advicefees, ch",
  "feesConfidence": 1,
  "normalizedFees": {
    "home": 10400,
    "currency": "GBP",
    "international": 35000
  },
  "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\nIf English is not your first language, you must show that you can use English to the level we require. Visit our English language pages to find out which qualifications we accept and how you can meet our requirements.\nIf you are taking the International English Language Testing System (IELTS), you must get at least the following scores:\nIELTS score requirements\noverall score\n6.5\nreading\n6.0\nwriting\n6.0\nspeaking\n6.0\nlistening\n6.0\nIf you do not meet the English language requirements through a test or qualification, you may be able to meet them by completing one of our pre-sessional English programmes before you start your course.\nIf you don’t meet direct entry requirements, you can apply to complete a Pre-Master's programme through our partnership with OnCampus.\nYou'll progress to your chosen course after successfully completing the programme. Find out more about Pre-Master's programmes for international students.\nPlease contact us if you're not sure you have the right experience or qualifications to get onto this course.\nTel: +44(0)23 8059 5000\nThis is a full-time master’s course. You’ll study for 12 months, from September to the following September.\nIn the first 9 months (semesters 1 and 2) you'll study the taught part of your course.\nThis is made up of modules that everyone on the course takes, and modules we’ll ask you to choose from a list of options. You'll take exams at the end of both semesters.\nYou’ll also begin preparing for your final pr",
  "scrapedIeltsOverall": 6.5,
  "scrapedLangSourceUrl": null,
  "scrapedTuitionFeeHome": 10400,
  "scrapedTuitionFeeIntl": 35000,
  "scrapedEntryRequirements": "Typical Offer 2:1 degree 2:1 degree View full entry requirements Entry requirements You’ll need an upper 2:1 degree (with a mark of 65% or above) in computer science or a closely related subject:computer sciencecomputer engineeringsoftware engineeringmathematics/statisticsphysicsYou must also have a good 2:1 (65%) score in the following:1 programming module (e.g. MATLAB, Python, Java, C, C++, C#,object-oriented or advanced programming language)1 advanced maths module, ideally statistics and probabilityFind the equivalent international qualifications for your country.Information for students who have studied in ChinaThis programme only accepts applicants who have studied at a Tier A, B or C institution.View acceptable grades from Chinese universities. English language requirements If English is not your first language, you must show that you can use English to the level we require. Visit our English language pages to find out which qualifications we accept and how you can meet our requi"
}
← Back to Courses