Data Science and Artificial Intelligence by Conversion

Basic Information

Course ID
9ce4fe22-728d-4284-99b2-416e0020639d
Option ID
7b0732b4-4265-4b9f-b27e-c83b8e18c461
Provider
Queen Mary University of London
Type
postgraduate
Academic Year
2026
Source
ucas
Created
2/22/2026, 4:50:47 AM
Updated
2/22/2026, 4:50:47 AM

Other Options for this Course

No other options

Listing Data (Raw)

{
  "id": "7b0732b4-4265-4b9f-b27e-c83b8e18c461",
  "duration": {
    "quantity": 1,
    "durationType": {
      "id": "4",
      "caption": "Years",
      "mappedCaption": null
    }
  },
  "features": {
    "accelerated": false
  },
  "location": {
    "id": "2559c1f1-4188-0210-af34-0cbaedd6fc33",
    "url": null,
    "name": "Mile End",
    "ukprn": null,
    "address": {
      "line1": "Mile End Road",
      "line2": "",
      "line3": "",
      "line4": "Tower Hamlets",
      "region": {
        "id": "42",
        "caption": "Greater London",
        "mappedCaption": "Greater London"
      },
      "country": {
        "id": "101",
        "caption": "England",
        "mappedCaption": "England"
      },
      "latitude": 51.5246362372,
      "postcode": "E1 4NS",
      "longitude": -0.0407103567
    },
    "isDefault": false,
    "geoLocation": {
      "latitude": 51.5246362372,
      "longitude": -0.0407103567
    },
    "tefCodeType": null,
    "locationCode": null,
    "googleMapsUrl": null,
    "googleMapsParams": null,
    "locationCategory": null,
    "geoLocationString": "51.5246362372,-0.0407103567"
  },
  "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": "9ce4fe22-728d-4284-99b2-416e0020639d",
    "cpdFlag": false,
    "options": [
      {
        "id": "7b0732b4-4265-4b9f-b27e-c83b8e18c461",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Please speak to the provider to make an application",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": "Please refer to our website for modules related to this programme.",
        "deadline": null,
        "duration": {
          "quantity": 1,
          "durationType": {
            "id": "4",
            "caption": "Years",
            "mappedCaption": null
          }
        },
        "features": {
          "accelerated": false
        },
        "location": {
          "id": "2559c1f1-4188-0210-af34-0cbaedd6fc33",
          "url": null,
          "name": "Mile End",
          "ukprn": null,
          "address": {
            "line1": "Mile End Road",
            "line2": "",
            "line3": "",
            "line4": "Tower Hamlets",
            "region": {
              "id": "42",
              "caption": "Greater London",
              "mappedCaption": "Greater London"
            },
            "country": {
              "id": "101",
              "caption": "England",
              "mappedCaption": "England"
            },
            "latitude": 51.5246362372,
            "postcode": "E1 4NS",
            "longitude": -0.0407103567
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 51.5246362372,
            "longitude": -0.0407103567
          },
          "tefCodeType": null,
          "locationCode": null,
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.5246362372,-0.0407103567&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=Ds4eCiB5ih82yp_d-YKj-WUAvkw=",
          "googleMapsParams": "51.5246362372,-0.0407103567",
          "locationCategory": null,
          "geoLocationString": "51.5246362372,-0.0407103567"
        },
        "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.qmul.ac.uk/postgraduate/taught/coursefinder/courses/data-science-and-artificial-intelligence-conversion-programme-msc/?utm_medium=third_party_profile&utm_source=ucas&utm_campaign=qmul_pgt_enq&utm_content=ucas_pg_listings",
        "assessmentMethods": "Please refer to our website for information on assessment.",
        "entryRequirements": "A 2:1 or above at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject not related to Computer Science, Electrical Engineering or Electronic Engineering.\n\nApplicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in programming or statistics.\n\nApplicants with degrees obtained more than five years ago who do not meet the above criteria, and those with relevant experience will be considered on an individual basis and must demonstrate evidence of:\n\n- Aptitude and technical skills normally acquired through employment OR\n- Evidence of successful completion of relevant programming qualifications, such as those provided by the Institute of Coding\n\nWhere possible, selection will be based on the written application, but applicants may be asked to attend an interview to support the evaluation of their experience and aptitude.\n\nFor international qualifications, please refer to our website for specific entry requirements.",
        "internalReference": null,
        "providerCourseUrl": "https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/data-science-and-artificial-intelligence-conversion-programme-msc/?utm_medium=third_party_profile&utm_source=ucas&utm_campaign=qmul_pgt_enq&utm_content=ucas_pg_listings",
        "professionalBodies": [],
        "qualificationLevel": {
          "id": "RQF_7",
          "caption": "RQF Level 7",
          "mappedCaption": null
        },
        "subjectToValidation": true,
        "outcomeQualification": {
          "id": "158",
          "caption": "MSc",
          "mappedCaption": "Masters degrees"
        },
        "deferredEntryDisallowed": false,
        "additionalFeeInformation": "Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student.\n\nYou can find tuition fees for each course on the course finder pages on our website by clicking the apply link, or navigate here: https://www.qmul.ac.uk/postgraduate/\n\nFurther details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/",
        "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 and Artificial Intelligence by Conversion. Queen Mary University of London. Computer science. Artificial intelligence. Information technology. Computer studies",
    "summary": "Prepare for the jobs of the near future with this conversion MSc programme, designed to enable learners without computer science backgrounds to train as artificial intelligence data specialists.\n\nThis programme is ideal for highly motivated applicants seeking to develop knowledge and technical expertise in data science and AI. Since applicants come from various academic backgrounds, we strongly recommend that you review our guidance for completing your application tailored specifically to this programme.\n\n\n- Discover data science and AI principles to create solutions for business and industry challenges.\n\n\n- Learn from experts engaged in cutting-edge research in Machine Learning, Natural Language Processing, Computer Vision, and Game AI.\n\n\n- Receive intensive teaching on programming and statistics, to equip you for the specialised modules in this programme.\n\n\n- This programme was developed by a collaborative partnership of universities and industry partners, brought together by the Institute of Coding.\n",
    "atasFlag": false,
    "contacts": [
      {
        "id": "49fa23d4-f092-629b-7f3a-bcc26e1e3b20",
        "fax": "",
        "email": "eecs-msc-enquiries@qmul.ac.uk",
        "phone": "+44 (0)20 7882 7333",
        "title": "School of Electronic Engineering and Computer Science Postgraduate Enquiries",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": false,
        "clearingUrl": null,
        "enquiryLink": {
          "url": null,
          "caption": null
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      },
      {
        "id": "ce5671c8-fa94-4e25-a2f6-25aee6581891",
        "fax": null,
        "email": "admissions@qmul.ac.uk",
        "phone": "02033537121",
        "title": "Clearing Hotline",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": true,
        "clearingUrl": "https://www.qmul.ac.uk/clearing/",
        "enquiryLink": {
          "url": "https://qmul.tfaforms.net/292?",
          "caption": "Register your interest in Clearing"
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      }
    ],
    "keywords": null,
    "provider": {
      "id": "856d62c2-800c-07ea-e751-1bbae4c76f4b",
      "name": "Queen Mary University of London",
      "ukprn": 10007775,
      "address": {
        "line1": "Admissions and Recruitment Office",
        "line2": "Mile End Road",
        "line3": "Tower Hamlets",
        "line4": "London",
        "region": {
          "id": "27",
          "caption": "South East England",
          "mappedCaption": "South East England"
        },
        "country": {
          "id": "101",
          "caption": "England",
          "mappedCaption": "England"
        },
        "latitude": 51.5246362372,
        "postcode": "E1 4NS",
        "longitude": -0.0407103567
      },
      "aliases": [],
      "logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/856d62c2-800c-07ea-e751-1bbae4c76f4b",
      "aliasName": "Queen Mary University of London",
      "websiteUrl": "www.qmul.ac.uk",
      "liveProvider": true,
      "providerCode": null,
      "providerSort": "Queen Mary University of London",
      "providerUrls": [],
      "imageLocation": "silver bronze silver-01.png",
      "institutionCode": "Q50",
      "providerShortName": "Queen Mary University of London",
      "cukasInstitutionCode": null,
      "requireAsciiDocuments": false,
      "providerAbbreviatedName": "QMUL",
      "aliasNameWithoutApostrophe": "Queen Mary University of London"
    },
    "subjects": [
      {
        "id": "1037",
        "caption": "Computer science",
        "mappedCaption": null
      },
      {
        "id": "1038",
        "caption": "Artificial intelligence",
        "mappedCaption": null
      },
      {
        "id": "1027",
        "caption": "Information technology",
        "mappedCaption": null
      },
      {
        "id": "1046",
        "caption": "Computer studies",
        "mappedCaption": null
      }
    ],
    "auditions": [],
    "studyType": {
      "id": "1",
      "caption": "Taught",
      "mappedCaption": null
    },
    "department": {
      "id": "187d0e11-c90d-96a9-341b-90c4e61101db",
      "name": "Electronic Engineering 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": "9ce4fe22-728d-4284-99b2-416e0020639d-2026",
    "courseTitle": "Data Science and Artificial Intelligence by Conversion",
    "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": "828",
        "caption": "Queen Mary, University of London",
        "mappedCaption": null
      }
    ],
    "applicationCode": null,
    "courseTitleSort": "Data Science and Artificial Intelligence by Conversion",
    "abbreviatedTitle": null,
    "balanceIndicator": null,
    "copyFormRequired": false,
    "internalReference": null,
    "currentlyInClearing": false,
    "ucasTeacherTraining": false,
    "degreeApprenticeship": false,
    "qualifiedTeacherStatus": null,
    "sponsorshipInformation": "To learn more about funding and scholarships, please visit our funding a masters webpage at: www.qmul.ac.uk/postgraduate/taught/funding_masters/",
    "internationalInformation": "Please see: www.qmul.ac.uk/international-students",
    "courseTitleWithoutApostrophe": "Data Science and Artificial Intelligence by Conversion",
    "additionalAuditionInformation": null,
    "higherTechnicalQualifications": false
  },
  "version": 28,
  "academicYearsInformation": {
    "2025": 1,
    "2026": 1
  }
}
← Back to Courses