Data Science (HTQ)

Basic Information

Course ID
7c1c53bf-046c-440f-8d32-d70ea85f4473
Option ID
ba3b8ddf-9f04-406c-a362-03f91e5a81ad
Provider
Buckinghamshire New University
Type
undergraduate
Academic Year
2026
Source
ucas
Created
2/23/2026, 11:57:04 AM
Updated
3/27/2026, 11:35:22 AM

Other Options for this Course

No other options

Listing Data (Raw)

{
  "id": "ba3b8ddf-9f04-406c-a362-03f91e5a81ad",
  "duration": {
    "quantity": 2,
    "durationType": {
      "id": "4",
      "caption": "Years",
      "mappedCaption": null
    }
  },
  "features": {
    "accelerated": false
  },
  "location": {
    "id": "f455bc1b-7225-4527-9e0b-10c1e3206889",
    "url": null,
    "name": "High Wycombe Campus",
    "ukprn": null,
    "address": {
      "line1": "Queen Alexandra Road",
      "line2": "",
      "line3": null,
      "line4": "High Wycombe",
      "region": {
        "id": "27",
        "caption": "South East England",
        "mappedCaption": "South East England"
      },
      "country": {
        "id": "000",
        "caption": "United Kingdom",
        "mappedCaption": "England"
      },
      "latitude": 51.6284972287,
      "postcode": "HP11 2JZ",
      "longitude": -0.7530970703
    },
    "isDefault": false,
    "geoLocation": {
      "latitude": 51.6284972287,
      "longitude": -0.7530970703
    },
    "tefCodeType": null,
    "locationCode": "-",
    "googleMapsUrl": null,
    "googleMapsParams": null,
    "locationCategory": {
      "id": "10000",
      "caption": "Main Site",
      "mappedCaption": null
    },
    "geoLocationString": "51.6284972287,-0.7530970703"
  },
  "startDate": {
    "date": "09/2026",
    "nonSpecific": false
  },
  "studyMode": {
    "id": "3",
    "caption": "Full-time",
    "mappedCaption": "Full-time",
    "excludedSchemesForApplication": []
  },
  "durationRange": null,
  "outcomeQualification": {
    "caption": "Foundation Degree in Science - FdSc"
  },
  "academicEntryRequirements": {
    "qualifications": [
      {
        "summary": {
          "offer": "CCD - BBC",
          "requirements": "UCAS points can be obtained through qualifications such as A levels, T levels, BTEC or an Access to Higher Education course in a relevant subject. Please list all your qualifications on the application form as you will be asked to provide copies when we receive your application. A minimum of 2 A-levels (or equivalent) is required. Every application is considered on an individual basis."
        },
        "priority": 2,
        "notAccepted": false,
        "qualificationName": "A level"
      },
      {
        "summary": {
          "offer": "88 - 112 points",
          "requirements": ""
        },
        "priority": 1,
        "notAccepted": false,
        "qualificationName": "UCAS Tariff"
      },
      {
        "summary": {
          "offer": "DMM - MMM",
          "requirements": ""
        },
        "priority": 4,
        "notAccepted": false,
        "qualificationName": "Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)"
      }
    ],
    "ucasTariffPointsMax": 112,
    "ucasTariffPointsMin": 88,
    "ucasTariffPointsDisplayMax": 112,
    "ucasTariffPointsDisplayMin": 88
  }
}

Detail API Response (Raw)

{
  "course": {
    "id": "7c1c53bf-046c-440f-8d32-d70ea85f4473",
    "cpdFlag": false,
    "options": [
      {
        "id": "ba3b8ddf-9f04-406c-a362-03f91e5a81ad",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Available to Apply",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": "**Year one**\n- Computational Fundamentals\n- Data Protection, Ethics, and Compliance\n- Data Warehousing\n- Introduction to Data Analysis Methods\n- Programming Concepts\n\n**Year two**\n- Algorithms and Data Structures\n- Data Essentials\n- Data Visualisation and Presentation\n- Information Security\n- Using Programming to achieve Mathematics",
        "deadline": {
          "id": "jan15",
          "caption": "14 January",
          "mappedCaption": null
        },
        "duration": {
          "quantity": 2,
          "durationType": {
            "id": "4",
            "caption": "Years",
            "mappedCaption": null
          }
        },
        "features": {
          "accelerated": false
        },
        "location": {
          "id": "f455bc1b-7225-4527-9e0b-10c1e3206889",
          "url": null,
          "name": "High Wycombe Campus",
          "ukprn": null,
          "address": {
            "line1": "Queen Alexandra Road",
            "line2": "",
            "line3": null,
            "line4": "High Wycombe",
            "region": {
              "id": "27",
              "caption": "South East England",
              "mappedCaption": "South East England"
            },
            "country": {
              "id": "000",
              "caption": "United Kingdom",
              "mappedCaption": "England"
            },
            "latitude": 51.6284972287,
            "postcode": "HP11 2JZ",
            "longitude": -0.7530970703
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 51.6284972287,
            "longitude": -0.7530970703
          },
          "tefCodeType": null,
          "locationCode": "-",
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.6284972287,-0.7530970703&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=mdqynt1totrxNjqraP-0GWpM0Ok=",
          "googleMapsParams": "51.6284972287,-0.7530970703",
          "locationCategory": {
            "id": "10000",
            "caption": "Main Site",
            "mappedCaption": null
          },
          "geoLocationString": "51.6284972287,-0.7530970703"
        },
        "startDate": {
          "date": "09/2026",
          "nonSpecific": false
        },
        "studyMode": {
          "id": "3",
          "caption": "Full-time",
          "mappedCaption": "Full-time",
          "excludedSchemesForApplication": []
        },
        "applyCycle": "2026",
        "courseFees": [
          {
            "amount": 9790,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "5",
              "caption": "Year 1",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "5",
              "caption": "England",
              "mappedCaption": null
            }
          },
          {
            "amount": 9790,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "5",
              "caption": "Year 1",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "6",
              "caption": "Northern Ireland",
              "mappedCaption": null
            }
          },
          {
            "amount": 9790,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "5",
              "caption": "Year 1",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "7",
              "caption": "Scotland",
              "mappedCaption": null
            }
          },
          {
            "amount": 9790,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "5",
              "caption": "Year 1",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "8",
              "caption": "Wales",
              "mappedCaption": null
            }
          },
          {
            "amount": 9790,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "5",
              "caption": "Year 1",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "9",
              "caption": "Channel Islands",
              "mappedCaption": null
            }
          },
          {
            "amount": 9790,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "5",
              "caption": "Year 1",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "10",
              "caption": "Republic of Ireland",
              "mappedCaption": null
            }
          },
          {
            "amount": 15910,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "5",
              "caption": "Year 1",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "3",
              "caption": "EU",
              "mappedCaption": null
            }
          },
          {
            "amount": 15910,
            "currency": {
              "id": "GBP",
              "caption": "£",
              "mappedCaption": null
            },
            "feeBasis": {
              "id": "5",
              "caption": "Year 1",
              "mappedCaption": null
            },
            "feeState": {
              "id": "3",
              "caption": "Set",
              "mappedCaption": null
            },
            "feeLocale": {
              "id": "4",
              "caption": "International",
              "mappedCaption": null
            }
          }
        ],
        "courseType": null,
        "entryPoints": [
          {
            "caption": "Year 1",
            "isDefault": true,
            "entryPointId": 1,
            "minOptionDurationYears": 0
          }
        ],
        "durationRange": {
          "max": null,
          "min": null
        },
        "admissionTests": [],
        "subjectOptions": [],
        "useDefaultFees": false,
        "providerApplyUrl": null,
        "assessmentMethods": "This HTQ programme places a strong emphasis on practical coursework, both individually and in teams, to help you to develop the skills and knowledge necessary for success in your chosen fields. \n\nIn today's world, data analysis is an essential part of every sector and industry, from healthcare to finance, from marketing to transportation, and more. Our teaching and learning methods incorporate a growing emphasis on capability, competency, and performance. This is reflected in a range of activities, including simulated workplace environments, live projects with clients, and placements, as well as newer approaches such as online evaluations, and role-playing scenarios. \n\nAssessments are, where possible, authentic, and tied to real-world contexts and constraints, allowing you to practically show the skills you have developed. \n\nWe have incorporated, where appropriate, the use of capstone activities (to encourage you to think critically, solve challenging problems, and develop professional employability skills) when concluding the session. This brings together knowledge, practical, and analytical skills that you have developed throughout the course. This may take the form of a traditional project, practical coursework, or artefact development.",
        "entryRequirements": null,
        "internalReference": "Y1HW",
        "providerCourseUrl": "https://www.bnu.ac.uk/courses/htq/fdsc-data-science",
        "professionalBodies": [],
        "qualificationLevel": {
          "id": "RQF_5",
          "caption": "RQF Level 5",
          "mappedCaption": null
        },
        "subjectToValidation": false,
        "outcomeQualification": {
          "id": "47163",
          "caption": "Foundation Degree in Science - FdSc",
          "mappedCaption": "Foundation degrees"
        },
        "deferredEntryDisallowed": false,
        "additionalFeeInformation": "Buckinghamshire New University tuition fees cover the cost of instruction, assessment, and core academic materials. However, additional costs may be incurred for course-related items or requirements, such as, but not limited to:\n\n- Text books and supplementary reading materials\n- Specialised equipment or resources required for specific courses\n- Field trips, placements, or external activities\n- Printing, photocopying, and binding\n- Accommodation, travel, and living expenses\n\nAdditional costs will vary by course. It is your responsibility as a student to budget for any additional expenses associated with your studies.\n\nFor further details on what is included in your tuition fees, please check bnu.ac.uk/fees-and-funding",
        "academicEntryRequirements": {
          "noRequirements": false,
          "qualifications": [
            {
              "summary": {
                "offer": "CCD - BBC",
                "requirements": "UCAS points can be obtained through qualifications such as A levels, T levels, BTEC or an Access to Higher Education course in a relevant subject. Please list all your qualifications on the application form as you will be asked to provide copies when we receive your application. A minimum of 2 A-levels (or equivalent) is required. Every application is considered on an individual basis."
              },
              "priority": 2,
              "notAccepted": false,
              "qualificationName": "A level"
            },
            {
              "summary": {
                "offer": "88 - 112 points",
                "requirements": ""
              },
              "priority": 1,
              "notAccepted": false,
              "qualificationName": "UCAS Tariff"
            },
            {
              "summary": {
                "offer": "DMM - MMM",
                "requirements": ""
              },
              "priority": 4,
              "notAccepted": false,
              "qualificationName": "Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)"
            }
          ],
          "furtherInformation": null,
          "ucasTariffPointsMax": 112,
          "ucasTariffPointsMin": 88,
          "contextualInformation": "We aim to cultivate an environment where individuality, diversity, and academic excellence thrive.\nOur decision-making process is not just about grades; we assess the entire application, including personal statements, relevant experience and where appropriate portfolios. Within our Contextual Offer Scheme, we strive to embrace students whose educational and social backgrounds may have influenced their academic journey.\nThis underpins how we champion an inclusive community that transforms lives.",
          "contextualInformationUrl": null,
          "ucasTariffPointsDisplayMax": 112,
          "ucasTariffPointsDisplayMin": 88,
          "providerEntryRequirementsUrl": null
        },
        "additionalEntryRequirements": [],
        "englishLanguageEntryRequirements": [
          {
            "score": 6,
            "result": null,
            "resultDetails": null,
            "additionalInformation": "We require an IELTS score of 6.0 (with no element lower that 5.5) or a recognised equivalent.",
            "englishLanguageRequirement": {
              "id": "1",
              "caption": "IELTS (Academic)",
              "mappedCaption": "IELTS (Academic)"
            }
          }
        ],
        "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": {
          "urlField": "https://www.bnu.ac.uk/study/general-entry-requirements",
          "urlDescription": "BNU English Language Requirements",
          "furtherInformation": "If English is not your first language or if you have studied in a non-majority English-speaking country, then you will typically be required to demonstrate your English language ability (speaking, listening, reading & writing) by way of a test such as IELTS."
        }
      }
    ],
    "suggest": "Data Science (HTQ). Buckinghamshire New University. Computer science. Data analysis. Data processing. Data communications. Data-processing management",
    "summary": "Ready to dive into the dynamic world of data science? At BNU our FDSc Data Science focuses on training real-world skills, to an industry-agreed standard. This means you can graduate with the exact skillset that some of the biggest companies in the country are looking for.\n\nIf you’re looking for a course that puts you at the forefront of technology innovation and equips you with the skills looked for across industries, a Higher Technical Qualification (HTQ) in Data Science could be for you. \n\nWe live in an increasingly data-driven world, and studying an HTQ in Data Science at BNU prepares you to thrive in a rapidly changing job market. Whether you're a recent school leaver, a professional seeking to upskill, or a mature learner ready for a career change, this course equips you with the in-demand skills employers are looking for. With accreditation from prestigious bodies like the Institute of Data Analytics and the Institute for Apprenticeships and Technical Education (IfATE), you'll gain a solid foundation in data analysis, programming, and data technology, setting you on a path towards fulfilling and well-paid career opportunities.\n\nThis Higher Technical Qualification (HTQ) course course has been accredited by the Institute of Analytics. This course runs for two years with an industry-certified focus on employability and hands-on training. After graduation, you will have the option of adding an additional top-up year for a full BSc Honours degree.\n\nThis programme has been carefully designed by our industry expert academics, based on standards set by professional bodies, to provide you with the skills and abilities needed to thrive in the fast-moving software industry. This means you will graduate with the skills, knowledge, behaviours, and attributes to carve out your own career, create your own opportunities, and enable you to adapt to diverse and different professional work situations and industry needs.",
    "atasFlag": false,
    "contacts": [
      {
        "id": "592fda96-d70c-6b24-bde0-051047b0d6f7",
        "fax": "",
        "email": "admissions@bnu.ac.uk",
        "phone": "01494 605060",
        "title": "BNU Admissions Team",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": false,
        "clearingUrl": null,
        "enquiryLink": {
          "url": "https://www.bnu.ac.uk/enquiries",
          "caption": "Enquiry form"
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": true,
        "socialMediaPresences": [
          {
            "id": "fb",
            "url": "https://www.facebook.com/BuckinghamshireNewUniversity",
            "caption": "Facebook"
          },
          {
            "id": "ig",
            "url": "https://instagram.com/bnuni_",
            "caption": "Instagram"
          },
          {
            "id": "li",
            "url": "https://www.linkedin.com/buckinghamshirenewuniversity",
            "caption": "LinkedIn"
          },
          {
            "id": "tw",
            "url": "https://twitter.com/_BNUni",
            "caption": "Twitter"
          },
          {
            "id": "yt",
            "url": "https://www.youtube.com/@_BNUni",
            "caption": "Youtube"
          }
        ]
      },
      {
        "id": "f8de156b-8029-4232-57fa-56c0c56c4c11",
        "fax": "",
        "email": "advice@bnu.ac.uk",
        "phone": "01494 605060",
        "title": "BNU Enquiries",
        "isDefault": true,
        "hasCourses": false,
        "isClearing": false,
        "clearingUrl": null,
        "enquiryLink": {
          "url": "https://www.bnu.ac.uk/enquiries",
          "caption": "Enquiry form"
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      },
      {
        "id": "cb9924c9-d890-4164-bc2b-dc0e8d0bb6d4",
        "fax": null,
        "email": "admissions@bnu.ac.uk",
        "phone": "0330 123 2023",
        "title": "Clearing Team",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": true,
        "clearingUrl": "https://www.bnu.ac.uk/clearing",
        "enquiryLink": {
          "url": "https://www.bnu.ac.uk/clearing",
          "caption": "Clearing enquiry form"
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      }
    ],
    "keywords": null,
    "provider": {
      "id": "592fda96-d70c-6b24-bde0-051047b0d6f7",
      "name": "Buckinghamshire New University",
      "ukprn": 10000975,
      "address": {
        "line1": "Queen Alexandra Road",
        "line2": "",
        "line3": "",
        "line4": "High Wycombe",
        "region": {
          "id": "27",
          "caption": "South East England",
          "mappedCaption": "South East England"
        },
        "country": {
          "id": "101",
          "caption": "England",
          "mappedCaption": "England"
        },
        "latitude": 51.6284972287,
        "postcode": "HP11 2JZ",
        "longitude": -0.7530970703
      },
      "aliases": [
        "BNU"
      ],
      "logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/592fda96-d70c-6b24-bde0-051047b0d6f7",
      "aliasName": "Buckinghamshire New University (BNU)",
      "websiteUrl": "www.bnu.ac.uk",
      "liveProvider": true,
      "providerCode": null,
      "providerSort": "Buckinghamshire New University",
      "providerUrls": [],
      "imageLocation": "silver silver silver-01.png",
      "institutionCode": "B94",
      "providerShortName": "Buckinghamshire New University",
      "cukasInstitutionCode": null,
      "requireAsciiDocuments": false,
      "providerAbbreviatedName": "BUCKS",
      "aliasNameWithoutApostrophe": "Buckinghamshire New University (BNU)"
    },
    "subjects": [
      {
        "id": "1037",
        "caption": "Computer science",
        "mappedCaption": null
      },
      {
        "id": "2520",
        "caption": "Data analysis",
        "mappedCaption": null
      },
      {
        "id": "1052",
        "caption": "Data processing",
        "mappedCaption": null
      },
      {
        "id": "741",
        "caption": "Data communications",
        "mappedCaption": null
      },
      {
        "id": "1031",
        "caption": "Data-processing management",
        "mappedCaption": null
      }
    ],
    "auditions": [],
    "studyType": null,
    "department": {
      "id": "308fd95f-b640-4984-a345-4ff126beafb3",
      "name": "College of Creative Arts, Technology and Engineering"
    },
    "hecosCodes": [
      {
        "hecosCode": {
          "code": "100755",
          "caption": "data management",
          "refDataId": "10532"
        },
        "percentageOfCourse": 100
      }
    ],
    "jacs3Codes": [],
    "publishEnd": "9999-12-31T23:59:59.9999999",
    "shortTitle": null,
    "specialism": {
      "primary": [],
      "secondary": [],
      "specialismStudyTypes": []
    },
    "visibleEnd": "2027-08-01T08:00:00",
    "compositeId": "7c1c53bf-046c-440f-8d32-d70ea85f4473-2026",
    "courseTitle": "Data Science (HTQ)",
    "facultyCode": null,
    "routingData": {
      "scheme": {
        "id": "ucas",
        "caption": "UCAS Undergraduate",
        "mappedCaption": null
      },
      "destination": {
        "id": "ug",
        "caption": "Undergraduate",
        "mappedCaption": null
      }
    },
    "availableEnd": "9999-12-31T23:59:59.9999999",
    "englishTitle": "",
    "publishStart": "2025-04-29T00:00:00Z",
    "visibleStart": "2025-04-29T08:00:00",
    "taughtInWelsh": false,
    "ucasApplyData": null,
    "academicYearId": "2026",
    "availableStart": "0001-01-01T00:00:00",
    "awardingBodies": [
      {
        "id": "177",
        "caption": "Buckinghamshire New University",
        "mappedCaption": null
      }
    ],
    "applicationCode": "FDDS",
    "courseTitleSort": "Data Science (HTQ)",
    "abbreviatedTitle": null,
    "balanceIndicator": null,
    "copyFormRequired": false,
    "internalReference": null,
    "currentlyInClearing": false,
    "ucasTeacherTraining": false,
    "degreeApprenticeship": false,
    "qualifiedTeacherStatus": null,
    "sponsorshipInformation": "There are several ways you can fund your studies, including sponsorship and student loans. You may be able to use ELCAS credits for some of our courses. We also have scholarships and bursaries to help support our students.",
    "internationalInformation": "Visit bnu.ac.uk/international to find out more about applying to BNU as an international student!",
    "courseTitleWithoutApostrophe": "Data Science (HTQ)",
    "additionalAuditionInformation": null,
    "higherTechnicalQualifications": true
  },
  "version": 32,
  "academicYearsInformation": {
    "2026": 1
  }
}

Normalized Data

{
  "scrapedAt": "2026-03-27T11:35:20.475Z",
  "scrapedPte": null,
  "scrapedUrl": "https://www.bnu.ac.uk/courses/htq/fdsc-data-science",
  "scrapedToefl": null,
  "scrapedAiUsed": false,
  "scrapedFeeRaw": "What are the tuition fees",
  "feesConfidence": 0.8,
  "normalizedFees": {
    "home": 15910,
    "currency": "GBP",
    "international": 9790
  },
  "scrapedAiError": null,
  "scrapedDuolingo": null,
  "scrapedTemplate": "drupal",
  "scrapedCambridge": null,
  "scrapedIeltsBand": null,
  "scrapedLangSource": "course_page",
  "languageConfidence": 0,
  "normalizedLanguage": {
    "pte": null,
    "ielts": null,
    "toefl": null,
    "duolingo": null,
    "cambridge": null
  },
  "scrapedLanguageRaw": "Apply Now Book Open Day \n\nFDSc Data Science \n\nUCAS CODE: FDDS \n\nTARIFF: 88 - 112 \n\nOverview \n\nCourse Details \n\nEntry Requirements \n\nModules \n\nFees \n\nEmployability \n\nTeaching Team \n\nStudy Mode: Full Time\n\nLocation: High Wycombe \n\nDuration: Two Years\n\nStart Date: September 2026\n\nReady to dive into the dynamic world of data science? Tuition fees for both new and continuing international students may be subject to an inflationary increase based on the Consumer Price Index (CPI) for the 12-month period to 31 January each year.",
  "scrapedIeltsOverall": null,
  "scrapedLangSourceUrl": null,
  "scrapedTuitionFeeHome": 15910,
  "scrapedTuitionFeeIntl": 9790,
  "scrapedEntryRequirements": "What are the course entry requirements? A typical offer will require a UCAS tariff score of: 88 - 112 UCAS points can be obtained through qualifications such as A levels, T levels, BTEC or an Access to Higher Education course in a relevant subject. Please list all your qualifications on the application form as you will be asked to provide copies when we receive your application."
}
← Back to Courses