Data Science

Basic Information

Course ID
bc568c3f-3bad-705a-d33e-65650af55d28
Option ID
9aaed7cc-4c52-46bf-a583-0797f4d67c45
Provider
Lancaster University
Type
postgraduate
Academic Year
2026
Source
ucas
Created
2/22/2026, 4:45:14 AM
Updated
3/27/2026, 10:07:59 AM

Other Options for this Course

Option ID Added
9c336f03-4f77-426a-a4c4-27e3282d8ec7 2/22/2026 View

Listing Data (Raw)

{
  "id": "9aaed7cc-4c52-46bf-a583-0797f4d67c45",
  "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": "bc568c3f-3bad-705a-d33e-65650af55d28",
    "cpdFlag": false,
    "options": [
      {
        "id": "9c336f03-4f77-426a-a4c4-27e3282d8ec7",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Please speak to the provider to make an application",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": "Core modules may include: Generalised linear models; data mining; statistical inference; likelihood inference. Optional modules may include: Systems architecture and integration; applied data mining.",
        "deadline": null,
        "duration": {
          "quantity": 2,
          "durationType": {
            "id": "4",
            "caption": "Years",
            "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": "9",
          "caption": "Part-time",
          "mappedCaption": "Part-time",
          "excludedSchemesForApplication": [
            "ucas"
          ]
        },
        "applyCycle": "2026",
        "courseFees": [],
        "courseType": null,
        "entryPoints": [],
        "durationRange": {
          "max": null,
          "min": null
        },
        "admissionTests": [],
        "subjectOptions": [],
        "useDefaultFees": false,
        "providerApplyUrl": null,
        "assessmentMethods": "Assessment is based on coursework and examination.",
        "entryRequirements": "2:2 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information.\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/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": "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
      },
      {
        "id": "9aaed7cc-4c52-46bf-a583-0797f4d67c45",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Please speak to the provider to make an application",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": "Core modules may include: Generalised linear models; data mining; statistical inference; likelihood inference. Optional modules may include: Systems architecture and integration; applied data mining.",
        "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 is based on coursework and examination.",
        "entryRequirements": "2:2 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information.\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/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": "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": "Data Science. Lancaster University. Statistics. Data analysis. Science. Information technology. Mathematics. Computer science",
    "summary": "The MSc Data Science has been designed by leading academics and industry experts to deliver an education that matches the needs of employers. The world of data science and AI is rapidly evolving, and so are we. Lancaster University’s Data Science Institute plays a leading role in UK data science research, which means we continually refine and update our curriculum to make sure you are learning the most modern tools and techniques. As demonstrated by our hundreds of alumni, we develop graduates with the skills and expertise to become professionals that design, test and implement solutions to drive innovation and business decision making. You will gain the confidence to apply data science techniques that enable companies to use artificial intelligence to gain insights and make better decisions.\n\nThis flexible Master’s allows you to select modules, guided by pathways, to develop an enhanced understanding of modern data science technologies. The pathways are:\n\n\n- Biodiversity\n\n\n- Business Intelligence\n\n\n- Data Engineering\n\n\n**Who is this programme for?**\nFor those interested in gaining insights from data to provide solutions, this Master’s in Data Science is open to anyone with an undergraduate degree, providing you have a good grasp of statistical analysis, ideally to A level standard. You may be a recent graduate or you may wish for a career change.\n\n\n- Looking ahead to employability\n\n\nThe strength of Lancaster’s MSc Data Science is producing graduates with demonstrable experience on their CV. Throughout the course you will network and interact with data science industry professionals through guest lectures, group projects and professional skills workshops. Crucially, you will have the opportunity to work on a real-time project during your 14-week placement with one of our industry partners, choosing techniques and approaches from your data science toolkit to provide answers to their questions.\n\nYou will also:\n- Gain the confidence to successfully speak the language of data science to future employers and colleagues\n\n\n- Develop your programming skills in R and Python\n\n\n- Graduate with the ability to think critically, design solutions, build a rationale and communicate this effectively\n\n\n**What to expect**\nYour learning and practical experience is split into three parts.\n\n\n- Core data science modules\n\n\nStudy the core modules that span the breadth of data science including the fundamentals of statistics and programming in Python; modern machine learning; and artificial intelligence. This term is essential in providing the foundations for you to advance your knowledge and technical skills in your chosen pathway.\n\n\n- Specialist modules\n\n\nChoose your specialist pathway, selecting optional modules that align with your interests and career goals.\n\n\n- Industry placement or dissertation\n\n\nApply the knowledge and skills you've gained with a 14-week placement or dissertation, either within industry or as part of an academic research project. Our students really value this experience, with many offered jobs at the end. You will develop your ability to formulate a project plan, gather and analyse data, interpret your results, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, expand your problem-solving abilities and manage a significant project.\n\n**Three things our students would like you to know**\n- The practical elements of this course along with the theory make this like no other!\n\n\n- The flexibility of choosing a pathway allows you to focus your career options\n\n\n- Working with other people on group projects is so diverse and enhances your project management and communications skills\n",
    "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": "1466",
        "caption": "Statistics",
        "mappedCaption": null
      },
      {
        "id": "2520",
        "caption": "Data analysis",
        "mappedCaption": null
      },
      {
        "id": "1268",
        "caption": "Science",
        "mappedCaption": null
      },
      {
        "id": "1027",
        "caption": "Information technology",
        "mappedCaption": null
      },
      {
        "id": "1447",
        "caption": "Mathematics",
        "mappedCaption": null
      },
      {
        "id": "1037",
        "caption": "Computer science",
        "mappedCaption": null
      }
    ],
    "auditions": [],
    "studyType": {
      "id": "1",
      "caption": "Taught",
      "mappedCaption": null
    },
    "department": {
      "id": "cf404edd-3704-90db-471f-25c3ee4ae9ac",
      "name": "Computing and Communications"
    },
    "hecosCodes": [],
    "jacs3Codes": [],
    "publishEnd": "9999-12-31T23:59:59.9999999",
    "shortTitle": null,
    "specialism": {
      "primary": [],
      "secondary": [],
      "specialismStudyTypes": []
    },
    "visibleEnd": "2027-08-01T08:00:00",
    "compositeId": "bc568c3f-3bad-705a-d33e-65650af55d28-2026",
    "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": "568",
        "caption": "Lancaster University",
        "mappedCaption": null
      }
    ],
    "applicationCode": null,
    "courseTitleSort": "Data Science",
    "abbreviatedTitle": null,
    "balanceIndicator": null,
    "copyFormRequired": false,
    "internalReference": null,
    "currentlyInClearing": false,
    "ucasTeacherTraining": false,
    "degreeApprenticeship": false,
    "qualifiedTeacherStatus": null,
    "sponsorshipInformation": null,
    "internationalInformation": null,
    "courseTitleWithoutApostrophe": "Data Science",
    "additionalAuditionInformation": null,
    "higherTechnicalQualifications": false
  },
  "version": 66,
  "academicYearsInformation": {
    "2025": 2,
    "2026": 2
  }
}

Normalized Data

{
  "scrapedAt": "2026-03-26T18:43:44.677Z",
  "scrapedPte": null,
  "scrapedUrl": "https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/data-science-msc/",
  "scrapedToefl": null,
  "scrapedAiUsed": false,
  "scrapedFeeRaw": "Fees and funding Location Full Time (per year) Part Time (per year) Home £14,140 £7,070 International £30,000 £15,000 Additional fees and funding information accordion Additional costs There may be extra costs related to your course for items such as books, stationery, printing, photocopying, binding and general subsistence on trips and visits. Following graduation, you may need to pay a subscription to a professional body for some chosen careers. Specific additional costs for studying at Lancaster are listed below. College fees Lancaster is proud to be one of only a handful of UK universities to have a collegiate system. Every student belongs to a college, and all students pay a small College Membership Fee which supports the running of college events and activities. Students on some distance-learning courses are not liable to pay a college fee. For students starting in 2025, the fee is £40 for undergraduates and research students and £15 for students on one-year courses. Computer equ",
  "feesConfidence": 0,
  "normalizedFees": {
    "home": null,
    "currency": null,
    "international": null
  },
  "scrapedAiError": null,
  "scrapedDuolingo": null,
  "scrapedTemplate": "drupal",
  "scrapedCambridge": null,
  "scrapedIeltsBand": 6,
  "scrapedLangSource": "course_page",
  "languageConfidence": 0.65,
  "normalizedLanguage": {
    "pte": null,
    "ielts": {
      "overall": null,
      "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": null,
  "scrapedLangSourceUrl": null,
  "scrapedTuitionFeeHome": null,
  "scrapedTuitionFeeIntl": null,
  "scrapedEntryRequirements": "Entry requirements Academic requirements 2:2 Hons degree (UK or equivalent) in any discipline, provided that the applicant has had exposure to quantitative methods such as statistics, or mathematical modelling. English language requirements We 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 and if your score is below our requirements, you may be eligible for one of our pre-sessional English language programmes. Help from our Admissions team If 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. We also have more details on our website about: International qualifications How to apply What happens after you apply Pre-master's programmes Delivered in partnership with INTO Lancaster University, our one-year tailored pre-master's pathways are designed to improve your"
}
← Back to Courses