MSc Computer Science with Data Science

Basic Information

Course ID
261c677f-49dd-4207-8ba4-211a271a798f
Option ID
a56bb4cf-2678-448a-8ac7-c9e4aa28ddc5
Provider
Walbrook Institute London
Type
postgraduate
Academic Year
2026
Source
ucas
Created
2/25/2026, 9:41:47 PM
Updated
3/28/2026, 10:33:00 AM

Other Options for this Course

Option ID Added
3909c0d3-2204-4de5-a2df-b9b491a9480e 2/25/2026 View

Listing Data (Raw)

{
  "id": "a56bb4cf-2678-448a-8ac7-c9e4aa28ddc5",
  "duration": {
    "quantity": 24,
    "durationType": {
      "id": "3",
      "caption": "Months",
      "mappedCaption": null
    }
  },
  "features": {
    "accelerated": false
  },
  "location": null,
  "startDate": {
    "date": null,
    "nonSpecific": true
  },
  "studyMode": {
    "id": "32",
    "caption": "Distance learning (part-time)",
    "mappedCaption": "Distance learning",
    "excludedSchemesForApplication": [
      "ucas"
    ]
  },
  "durationRange": null,
  "outcomeQualification": {
    "caption": "Master of Science - MSc (PG)"
  },
  "academicEntryRequirements": null
}

Detail API Response (Raw)

{
  "course": {
    "id": "261c677f-49dd-4207-8ba4-211a271a798f",
    "cpdFlag": false,
    "options": [
      {
        "id": "3909c0d3-2204-4de5-a2df-b9b491a9480e",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Please speak to the provider to make an application",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": "Learn how to make sense of the information that drives modern life. You’ll study advanced analytics, machine learning and visualisation, developing the ability to interpret complex datasets and turn them into insight that shapes smarter decisions. \n\nYou’ll also build core skills in computer science: designing secure databases, engineering reliable software, and understanding how networks and cloud platforms keep data moving and accessible. You’ll practise coding algorithms, work with relational and NoSQL systems, and explore how artificial intelligence and ethical frameworks influence the way data is used in business and society – ready to build the solutions that influence how organisations make decisions. \n\nWant to find out more? Visit our programme page to browse the full list of modules you’ll study.",
        "deadline": null,
        "duration": {
          "quantity": 14,
          "durationType": {
            "id": "3",
            "caption": "Months",
            "mappedCaption": null
          }
        },
        "features": {
          "accelerated": false
        },
        "location": {
          "id": "00000000-0000-0000-0000-000000000000",
          "url": null,
          "name": null,
          "ukprn": null,
          "address": null,
          "isDefault": false,
          "geoLocation": null,
          "tefCodeType": null,
          "locationCode": null,
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.5096792395,-0.0852193874&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=XZIh7BN8BLOeeAhnyWG2EROac24=",
          "googleMapsParams": "51.5096792395,-0.0852193874",
          "locationCategory": null,
          "geoLocationString": null
        },
        "startDate": {
          "date": null,
          "nonSpecific": true
        },
        "studyMode": {
          "id": "30",
          "caption": "Distance learning (full-time)",
          "mappedCaption": "Distance learning",
          "excludedSchemesForApplication": []
        },
        "applyCycle": "2026",
        "courseFees": [
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "3",
              "caption": "EU",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "4",
              "caption": "International",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "5",
              "caption": "England",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "6",
              "caption": "Northern Ireland",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "7",
              "caption": "Scotland",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "8",
              "caption": "Wales",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "9",
              "caption": "Channel Islands",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "10",
              "caption": "Republic of Ireland",
              "mappedCaption": null
            }
          }
        ],
        "courseType": null,
        "entryPoints": [],
        "durationRange": {
          "max": null,
          "min": null
        },
        "admissionTests": [],
        "subjectOptions": [],
        "useDefaultFees": false,
        "providerApplyUrl": "https://go.walbrook.ac.uk/ucas-apply-now",
        "assessmentMethods": "Assessments on this MSc are varied and designed to help you apply your learning using reports, project design, case studies, portfolios of work, and reflective pieces or presentations. You’ll also complete a final research project where you can explore a computing topic in depth, supported by academic guidance.",
        "entryRequirements": "This is a conversion master’s degree – designed for people who didn’t study computing at undergraduate level. To apply, you’ll need to meet the following entry requirements: \n\nA UK honours degree at 2:2 or above (or equivalent international qualification) in a subject other than computing.\n\nIf you hold a non-honours degree and 2 years’ professional experience in one or more computing-related roles, you’re still encouraged to apply. We’ll review your academic and professional background on a case-by-case basis. In exceptional cases, applicants without a first degree but with more than two years’ relevant professional experience in computing-related roles may be considered.",
        "internalReference": null,
        "providerCourseUrl": "https://go.walbrook.ac.uk/ucas-computer-with-data-science",
        "professionalBodies": [],
        "qualificationLevel": {
          "id": "RQF_7",
          "caption": "RQF Level 7",
          "mappedCaption": null
        },
        "subjectToValidation": false,
        "outcomeQualification": {
          "id": "47246",
          "caption": "Master of Science - MSc (PG)",
          "mappedCaption": "Masters degrees"
        },
        "deferredEntryDisallowed": false,
        "additionalFeeInformation": "We’re proud to offer MSc Computer Science degrees for just £7,680. That’s because it's built specifically for online delivery, using a structure that keeps things flexible, practical, and cost-effective.\n\nMany of our students cover the cost of their postgraduate degrees using a UK government Master’s Loan (if eligible), and when it comes to paying for your degree, there are 2 different ways – depending on what works best for you:\n\n1. Pay in full upfront: You’ll receive a 15% fee reduction if you pay for your full degree in advance. This must be completed before your start date.\n\n2. Pay per module: This option allows you to spread the cost across your studies, and the amount you’ll pay upfront depends on how you choose to study. Full-time students pay for the first two modules upfront. Part-time students pay for the first module upfront.\n\nIf you have any questions about our tuition fees, please contact our Enrolment Advisors at onlinedegree@walbrook.ac.uk or visit https://go.walbrook.ac.uk/ucas-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": "a56bb4cf-2678-448a-8ac7-c9e4aa28ddc5",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Please speak to the provider to make an application",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": "Learn how to make sense of the information that drives modern life. You’ll study advanced analytics, machine learning and visualisation, developing the ability to interpret complex datasets and turn them into insight that shapes smarter decisions. \n\nYou’ll also build core skills in computer science: designing secure databases, engineering reliable software, and understanding how networks and cloud platforms keep data moving and accessible. You’ll practise coding algorithms, work with relational and NoSQL systems, and explore how artificial intelligence and ethical frameworks influence the way data is used in business and society – ready to build the solutions that influence how organisations make decisions. \n\nWant to find out more? Visit our programme page to browse the full list of modules you’ll study.",
        "deadline": null,
        "duration": {
          "quantity": 24,
          "durationType": {
            "id": "3",
            "caption": "Months",
            "mappedCaption": null
          }
        },
        "features": {
          "accelerated": false
        },
        "location": {
          "id": "00000000-0000-0000-0000-000000000000",
          "url": null,
          "name": null,
          "ukprn": null,
          "address": null,
          "isDefault": false,
          "geoLocation": null,
          "tefCodeType": null,
          "locationCode": null,
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.5096792395,-0.0852193874&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=XZIh7BN8BLOeeAhnyWG2EROac24=",
          "googleMapsParams": "51.5096792395,-0.0852193874",
          "locationCategory": null,
          "geoLocationString": null
        },
        "startDate": {
          "date": null,
          "nonSpecific": true
        },
        "studyMode": {
          "id": "32",
          "caption": "Distance learning (part-time)",
          "mappedCaption": "Distance learning",
          "excludedSchemesForApplication": [
            "ucas"
          ]
        },
        "applyCycle": "2026",
        "courseFees": [
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "3",
              "caption": "EU",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "4",
              "caption": "International",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "5",
              "caption": "England",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "6",
              "caption": "Northern Ireland",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "7",
              "caption": "Scotland",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "8",
              "caption": "Wales",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "9",
              "caption": "Channel Islands",
              "mappedCaption": null
            }
          },
          {
            "amount": 7680,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "4",
              "caption": "Whole course",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "10",
              "caption": "Republic of Ireland",
              "mappedCaption": null
            }
          }
        ],
        "courseType": null,
        "entryPoints": [],
        "durationRange": {
          "max": null,
          "min": null
        },
        "admissionTests": [],
        "subjectOptions": [],
        "useDefaultFees": false,
        "providerApplyUrl": "https://go.walbrook.ac.uk/ucas-apply-now",
        "assessmentMethods": "Assessments on this MSc are varied and designed to help you apply your learning using reports, project design, case studies, portfolios of work, and reflective pieces or presentations. You’ll also complete a final research project where you can explore a computing topic in depth, supported by academic guidance.",
        "entryRequirements": "This is a conversion master’s degree – designed for people who didn’t study computing at undergraduate level. To apply, you’ll need to meet the following entry requirements: \n\nA UK honours degree at 2:2 or above (or equivalent international qualification) in a subject other than computing.\n\nIf you hold a non-honours degree and 2 years’ professional experience in one or more computing-related roles, you’re still encouraged to apply. We’ll review your academic and professional background on a case-by-case basis. In exceptional cases, applicants without a first degree but with more than two years’ relevant professional experience in computing-related roles may be considered.",
        "internalReference": null,
        "providerCourseUrl": "https://go.walbrook.ac.uk/ucas-computer-with-data-science",
        "professionalBodies": [],
        "qualificationLevel": {
          "id": "RQF_7",
          "caption": "RQF Level 7",
          "mappedCaption": null
        },
        "subjectToValidation": false,
        "outcomeQualification": {
          "id": "47246",
          "caption": "Master of Science - MSc (PG)",
          "mappedCaption": "Masters degrees"
        },
        "deferredEntryDisallowed": false,
        "additionalFeeInformation": "We’re proud to offer MSc Computer Science degrees for just £7,680. That’s because it's built specifically for online delivery, using a structure that keeps things flexible, practical, and cost-effective.\n\nMany of our students cover the cost of their postgraduate degrees using a UK government Master’s Loan (if eligible), and when it comes to paying for your degree, there are 2 different ways – depending on what works best for you:\n\n1. Pay in full upfront: You’ll receive a 15% fee reduction if you pay for your full degree in advance. This must be completed before your start date.\n\n2. Pay per module: This option allows you to spread the cost across your studies, and the amount you’ll pay upfront depends on how you choose to study. Full-time students pay for the first two modules upfront. Part-time students pay for the first module upfront.\n\nIf you have any questions about our tuition fees, please contact our Enrolment Advisors at onlinedegree@walbrook.ac.uk or visit https://go.walbrook.ac.uk/ucas-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": "MSc Computer Science with Data Science. Walbrook Institute London. Artificial intelligence. Computer science. Information technology. Computer applications. Business information technology. Computer engineering. Computers. Computer communication. Computer networking. Computer control. Computer networks. Computer simulation. Computer programming. Computer languages. Java. Internet technology. Digital Security. Computer studies. Applied computer studies. Computer management studies. Database studies. Data processing. Industrial information technology. Decision making. Optical information processing",
    "summary": "Turn data into decisions with Walbrook’s MSc Computer Science with Data Science. This master’s blends core computer science with modern data practice so you can deliver insight and build data-driven solutions across sectors. \n\nYou’ll study how information is structured, stored and processed, and how advanced methods can uncover meaning in complex datasets. Modules cover areas such as analytics, visualisation, statistical modelling and machine learning, alongside the computer science foundations of software engineering, databases, networks and cloud computing. You’ll also explore the ethical and responsible use of data, linking technical skills to real-world decision making. \n\nDelivered 100% online, this degree is built to balance study with work and life. Study full-time over 14 months or part-time over 24, with a clear weekly structure, dedicated career and study support, and learning materials designed by experts with industry experience. \n\n**Apply now for MSc Computer Science with Data Science and take your next step towards roles in data science, analytics and data engineering.**",
    "atasFlag": false,
    "contacts": [
      {
        "id": "019153c3-5c56-45f1-afc9-d42eb277ce78",
        "fax": null,
        "email": "enrolments@walbrook.ac.uk",
        "phone": "+44 (0) 207 444 7103",
        "title": "Online Degree Information",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": false,
        "clearingUrl": null,
        "enquiryLink": {
          "url": "https://www.walbrook.ac.uk/about-us/contact-us/",
          "caption": "Contact our Enrolment Team"
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": [
          {
            "id": "fb",
            "url": "https://www.facebook.com/WalbrookLondon",
            "caption": "Facebook"
          },
          {
            "id": "ig",
            "url": "https://instagram.com/walbrooklondon",
            "caption": "Instagram"
          },
          {
            "id": "li",
            "url": "https://www.linkedin.com/walbrooklondon",
            "caption": "LinkedIn"
          },
          {
            "id": "yt",
            "url": "https://www.youtube.com/@WalbrookLondon",
            "caption": "Youtube"
          }
        ]
      },
      {
        "id": "51e61a5b-4fe1-4258-bb8b-c9ddb26a462d",
        "fax": null,
        "email": "enrolments@walbrook.ac.uk",
        "phone": "+44 (0) 207 444 7103",
        "title": "Clearing Enquiries",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": true,
        "clearingUrl": null,
        "enquiryLink": {
          "url": "https://www.walbrook.ac.uk/online-application/",
          "caption": "Apply now"
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      }
    ],
    "keywords": null,
    "provider": {
      "id": "96faf64f-9c17-28dc-38e8-d8ce64cd10a7",
      "name": "Walbrook Institute London",
      "ukprn": 10089591,
      "address": {
        "line1": "8th Floor, Peninsular House",
        "line2": "36 Monument Street",
        "line3": "",
        "line4": "City of London",
        "region": {
          "id": "27",
          "caption": "South East England",
          "mappedCaption": "South East England"
        },
        "country": {
          "id": "101",
          "caption": "England",
          "mappedCaption": "England"
        },
        "latitude": 51.5096792395,
        "postcode": "EC3R 8LJ",
        "longitude": -0.0852193874
      },
      "aliases": [],
      "logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/96faf64f-9c17-28dc-38e8-d8ce64cd10a7",
      "aliasName": "Walbrook Institute London",
      "websiteUrl": "walbrook.ac.uk",
      "liveProvider": true,
      "providerCode": null,
      "providerSort": "Walbrook Institute London",
      "providerUrls": [],
      "imageLocation": "silver bronze silver-01.png",
      "institutionCode": "I55",
      "providerShortName": "WIL",
      "cukasInstitutionCode": null,
      "requireAsciiDocuments": false,
      "providerAbbreviatedName": "WIL",
      "aliasNameWithoutApostrophe": "Walbrook Institute London"
    },
    "subjects": [
      {
        "id": "1038",
        "caption": "Artificial intelligence",
        "mappedCaption": null
      },
      {
        "id": "1037",
        "caption": "Computer science",
        "mappedCaption": null
      },
      {
        "id": "1027",
        "caption": "Information technology",
        "mappedCaption": null
      },
      {
        "id": "1032",
        "caption": "Computer applications",
        "mappedCaption": null
      },
      {
        "id": "1028",
        "caption": "Business information technology",
        "mappedCaption": null
      },
      {
        "id": "1033",
        "caption": "Computer engineering",
        "mappedCaption": null
      },
      {
        "id": "1034",
        "caption": "Computers",
        "mappedCaption": null
      },
      {
        "id": "1040",
        "caption": "Computer communication",
        "mappedCaption": null
      },
      {
        "id": "2411",
        "caption": "Computer networking",
        "mappedCaption": null
      },
      {
        "id": "1041",
        "caption": "Computer control",
        "mappedCaption": null
      },
      {
        "id": "1042",
        "caption": "Computer networks",
        "mappedCaption": null
      },
      {
        "id": "1043",
        "caption": "Computer simulation",
        "mappedCaption": null
      },
      {
        "id": "1058",
        "caption": "Computer programming",
        "mappedCaption": null
      },
      {
        "id": "2413",
        "caption": "Computer languages",
        "mappedCaption": null
      },
      {
        "id": "2417",
        "caption": "Java",
        "mappedCaption": null
      },
      {
        "id": "2423",
        "caption": "Internet technology",
        "mappedCaption": null
      },
      {
        "id": "2572",
        "caption": "Digital Security",
        "mappedCaption": null
      },
      {
        "id": "1046",
        "caption": "Computer studies",
        "mappedCaption": null
      },
      {
        "id": "1047",
        "caption": "Applied computer studies",
        "mappedCaption": null
      },
      {
        "id": "1049",
        "caption": "Computer management studies",
        "mappedCaption": null
      },
      {
        "id": "2424",
        "caption": "Database studies",
        "mappedCaption": null
      },
      {
        "id": "1052",
        "caption": "Data processing",
        "mappedCaption": null
      },
      {
        "id": "1054",
        "caption": "Industrial information technology",
        "mappedCaption": null
      },
      {
        "id": "372",
        "caption": "Decision making",
        "mappedCaption": null
      },
      {
        "id": "1053",
        "caption": "Optical information processing",
        "mappedCaption": null
      }
    ],
    "auditions": [],
    "studyType": {
      "id": "1",
      "caption": "Taught",
      "mappedCaption": null
    },
    "department": {
      "id": "3b503b55-2a51-4547-83a7-03a33e8f8cb6",
      "name": "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": "261c677f-49dd-4207-8ba4-211a271a798f-2026",
    "courseTitle": "MSc Computer Science with 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": [],
    "applicationCode": null,
    "courseTitleSort": "MSc Computer Science with Data Science",
    "abbreviatedTitle": null,
    "balanceIndicator": null,
    "copyFormRequired": false,
    "internalReference": null,
    "currentlyInClearing": false,
    "ucasTeacherTraining": false,
    "degreeApprenticeship": false,
    "qualifiedTeacherStatus": null,
    "sponsorshipInformation": null,
    "internationalInformation": "Want to study a UK degree online as an international student? At Walbrook, all our courses are delivered 100% online – so you can gain a recognised UK qualification from wherever you live, without the need for a visa or extra accommodation costs. Our tuition fees are simple, transparent, and designed to fit around your life. You’ll pay either per module, or in full at the start – whichever works best for you. \n\nFor more information, visit: https://go.walbrook.ac.uk/ucas-international-fees.",
    "courseTitleWithoutApostrophe": "MSc Computer Science with Data Science",
    "additionalAuditionInformation": null,
    "higherTechnicalQualifications": false
  },
  "version": 13,
  "academicYearsInformation": {
    "2025": 2,
    "2026": 2
  }
}

Normalized Data

{
  "scrapedAt": "2026-03-28T10:32:58.707Z",
  "scrapedPte": null,
  "scrapedUrl": "https://go.walbrook.ac.uk/ucas-computer-with-data-science",
  "scrapedToefl": null,
  "scrapedAiUsed": false,
  "scrapedFeeRaw": "Tuition fees for your online Master of Computer Science with Data Science degree The prices shown below are for our online MSc Computer Science degrees only. They are inclusive of your first module(s) payment and don't include any reductions. Total programme cost Full-time: 14 months | Part-time: 24 months £7,680in total You'll study 10x 15-credit modules and 1x 30-credit Research Project module in total (approx. 17-30 hrs/week). Apply now",
  "feesConfidence": 0.9,
  "normalizedFees": {
    "home": 7680,
    "currency": "GBP",
    "international": 1280
  },
  "scrapedAiError": null,
  "scrapedDuolingo": null,
  "scrapedTemplate": "drupal",
  "scrapedCambridge": null,
  "scrapedIeltsBand": null,
  "scrapedLangSource": "course_page",
  "languageConfidence": 0.8,
  "normalizedLanguage": {
    "pte": null,
    "ielts": {
      "overall": 6,
      "min_component": null
    },
    "toefl": null,
    "duolingo": null,
    "cambridge": null
  },
  "scrapedLanguageRaw": "English language requirements\nIf English isn't your first language, you’ll be asked to provide proof of your English language proficiency in one of the following forms. Alternatively, you may be accepted if you have previously studied in English at an appropriate level and attended a recognised institution.\nIELTS\nEvidence of a score of IELTS Level 6.0 or above with no element below 5.5.\nTOEFL iBT®\nEvidence of a score of 79 overall (with 18 in reading, 17 in listening, 20 in speaking and 21 in writing).\nTrinity College London Integrated Skills in English (ISE)\nEvidence of a score of ISE II with distinction in each skill.\nCambridge Certificate of Proficiency or Cambridge Certificate of Advanced English\nEvidence of a score of 170 overall, with 160 in each component.\nMy favourite part of studying with Walbrook is definitely the flexibility that the online degree offers. I think without that there wouldn't have been away for me to achieve this level of qualification. I haven't felt a massive change in my routine and don't feel like I have to give up much either to fit the studying in.\nWalbrook online degree student\nI would say just go for it. I am currently in full time employment, so being able to study at my own time and being able to be in control of my own studying was really important, and Walbrook provided that as part of their online degrees.\nWalbrook online degree student\nMSc Computer Science with Data Science programme details\nThis 100% online MSc Computer Science with Da",
  "scrapedIeltsOverall": 6,
  "scrapedLangSourceUrl": null,
  "scrapedTuitionFeeHome": 7680,
  "scrapedTuitionFeeIntl": 1280,
  "scrapedEntryRequirements": "Entry requirements for your online MSc Computer Science with Data Science degree Every application is different. If you’re not sure whether you meet the MSc Computer Science with Data Science entry requirements, or you have any questions, contact us for advice. 1. Check programme entry requirements Review our entry requirements to make sure you meet them."
}
← Back to Courses