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Data Computing Intelligence at Canterbury Christ Church University - UCAS

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Course summary

BSc (Hons) Data Computing Intelligence Overview Our Data Computer Intelligence degree from Canterbury Christ Church University is a cutting-edge undergraduate 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 will 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. You will be prepared to contribute to the advancement of AI technologies and address real-world challenges across various industries. Why study BSc Data Computer Intelligence? 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 will become sought-after professionals at the forefront of technological advancements. This future-oriented degree 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 will emerge ready to revolutionise industries, lead innovation, and drive progress in the dynamic domains of artificial and data intelligence.

  • Gain specialist skills needed to succeed in any industry using the innovative and project focused CDIO model of learning.
  • Learn in our new Verena Holmes building where you’ll be immersed in industry-standard facilities and equipment.
  • Take advantage of the opportunity to spend a year in industry to develop your knowledge and skills in a business or industrial setting.
  • Join our close-knit, supportive learning community where we have an open-door policy.


How to apply

Application codes

Course code:
G500
Institution code:
C10
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Please click the following link to find out more about qualification requirements for this course

https://www.canterbury.ac.uk/


Student Outcomes

Operated by the Office for Students
75%
Employment after 15 months (Most common jobs)
90%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £9535* Year 1
Northern Ireland £9535* Year 1
Scotland £9535* Year 1
Wales £9535* Year 1
Channel Islands £9535* Year 1
Republic of Ireland £9535* Year 1

*This is a provisional fee and subject to change.

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

The fees above are for the 2025/26 academic year but may be subject to change following any announcements by the UK Government (approved by Parliament) regarding maximum Undergraduate tuition fee caps for 2025/26. In addition, the University reserves the right to increase all full-time and part-time Undergraduate tuition fees mid-course, in line with any further inflationary increase in the Government tuition fee cap which is approved by Parliament. The University will publish information about any changes to tuition fees on its website. International Tuition Fees (including EU fees): To be confirmed Undergraduate tuition fees for International students are not subject to the Government’s regulations on maximum tuition fees.
Data Computing Intelligence at Canterbury Christ Church University - UCAS