Overview

    Our Data Computing Intelligence degree is a cutting-edge course designed to prepare you for a successful career in the rapidly growing field of data analytics and computer intelligence.

    The degree focuses on developing the skills and knowledge necessary to create intelligent systems and applications. You’ll also learn to collect, analyse, and interpret vast amounts of data to derive actionable insights, enabling organisations to make data-driven decisions and gain a competitive edge in the digital age.

    This degree offers a unique opportunity to delve into the cutting-edge fields of AI and data analytics. By mastering the skills to analyse data, build intelligent systems, and address ethical considerations, you’ll become sought-after professional at the forefront of technological advancements.

    Studying Data Computing Intelligence will equip you to play a pivotal role in shaping the AI-driven world and making a positive impact on society. With strong industry connections and hands-on experiences, you’ll emerge ready to revolutionise industries, lead innovation, and drive progress in the dynamic domains of artificial and data intelligence.

    Top 20 in the UK 

    for the quality of teaching in the subject area of Computer Science. 

    The Times and Sunday Times Good University Guide 2024

    Why study Data Computing Intelligence at CCCU?

    Entry requirements

    Qualification type

    Grades

    A Levels

    BBC

    BTEC

    DMM

    Access

    15 Distinctions and 30 Merits 

    International Baccalaureate

    29 Points

    Combinations

    A combination of qualifications totalling 112 UCAS points

    Find out more information about entry requirements.

    International students

    Find out about IELTS requirements. Depending which country you're from, there may be specific entry requirements. Check your country to see if this is applicable to you.

    If you have any questions about entry requirements for this course, please contact our Course Enquiry Team.

    Module information

    Core/optional modules

    *Modules subject to approval

    How you’ll learn

    This degree uses the pioneering CDIO (Conceive, Design, Implement, Operate) education model – developed by the world-renowned Massachusetts Institute of Technology (MIT) in collaboration with business. This will help your natural creativity and thirst for problem-solving flourish as you learn and some of your teaching will be done via real world inspired projects. You will be taught through a combination of lectures, seminars and practical labs. You will typically have around 12 contact hours per week and are expected to also spend about 4 hours each week coordinating with team members on group activities. Labs will often emphasise working in small groups to enable you to discuss and develop your understanding of topics covered in lectures and place theory into practice.

    The course will consist of blend of online and face-to-face campus practical learning in computing laboratories and face-to- face and online theoretical and practical learning.

    When not attending timetabled sessions, it is expected you will continue learning through self-study. Typically, this involves completing computer-based exercises, preparing for workshops and seminars, undertaking research in the library, working on projects, undertaking coursework assignments or preparing for class-tests and examinations and reading journal articles and books. Your module leader will direct you towards specific readings and/or activities to complete before class.

    For your final year dissertation, you will undertake independent research and will be assigned a supervisor, who will guide you through your first substantial and independent work through regular scheduled meetings.

    Your overall workload typically consists of 12 contact hours and an additional 30 hours of independent learning. In addition, there may be field trips.

    For each 20-credit module, your study time will be about 10 hours a week plus work on assessments or preparation for examinations. Assessments would normally be expected to take approximately 50 hours for an assignment worth 50% of a 20 credit module. A similar amount of preparation and revision time would be expected for an examination worth 50% of a 20 credit module.

    The team consists of highly qualified academics who have a range of expertise and experience. All our team members hold Doctoral or professional qualifications (e.g. Member of the British Computer Society or Eur. Ing.) or comparative industrial experience.

    Postgraduate students assist in some teaching and assessing some modules. However, experienced academics teach the majority of lectures and seminars.

    Thanks to the reduction in cost of manufacturing and shipping, vast improvements in quality and processing time of technology has enabled society to collect vast amounts of data in various formats. This course equips you with the skills to securely gather and transform collated raw data into meaningful insights and intelligence that will enable businesses and society to make informed decisions.

    Dr Anne NortcliffeHead of school

    How you’ll be assessed

    You will be assessed largely by coursework and project work, though some modules will also have class tests. Coursework is mainly practically oriented with appropriate theoretical elements to ensure a well-rounded education. Assessments are generally individual, with group work in some modules where this matches the approaches used in industry.

    We use coursework assessment methods based on their suitability for specific modules. Formative feedback is provided throughout your course. We use coursework assessment methods based on their suitability for specific modules.

    Methods of assessment used include production of software artefacts, project specification documents, reports, ‘investigation-based’ presentations, oral presentations, individual studies/projects, poster presentations, online assessment, logbooks and time constrained assignments.

    Your future career

    Graduates with a degree in Data Computer Intelligence can pursue a variety of rewarding careers, including:

    • Data Analyst
    • Business Intelligence Analyst
    • Data Scientist
    • Machine Learning Engineer
    • Business Analytics Consultant
    • Data Engineer
    • Market Research Analyst
    • Data Visualisation Specialist

    The course prepares students to meet the increasing demand for data-driven insights across diverse industries, making them valuable assets to organisations seeking to leverage data to make informed decisions and stay ahead in a data-centric world.

    Fees

    The 2025/26 annual tuition fees for this course are:

      UK Overseas
    Full-time £9,535 £15,500

    Tuition fees for all courses are payable on an annual basis, except where stated. The fees represented here are for study with Canterbury Christ Church University. If you are looking to study at a partner institution, please visit their website for fees information.

    Please read the 2025/26 Tuition Fee Statement for further information regarding tuition fees and year on year fee increases.

    Home (UK) Fees

    The Government has announced that it will increase the tuition fee cap by 3.1%, in line with inflation, for the 2025/26 academic cycle. Subject to parliamentary approval, the University intends to increase our tuition fees in line with this and as per our terms and conditions. This means that from September 2025 our undergraduate home tuition fees are expected to be £9,535.

    Overseas/International Fees

    Undergraduate / PGCE tuition fees for international students are not set by the UK Government.

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    Duration:

    3 years

    UCAS code:

    G500

    Location(s):

    Canterbury
    Apply via UCAS