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Computer Science (with foundation year)

Course details
  • 1 Study option
  • Undergraduate
Course location
CU Coventry

Course summary

The foundation year of this Coventry University degree will be delivered from our CU Coventry campus. Course delivery from year 1 of the degree onwards will be from Coventry University campus.

Our degree with foundation year could be the stepping stone you need to achieve your goals. The foundation year aims to prepare you for degree-level study and is a great way to build the confidence, skills and knowledge needed to succeed on your degree course. The degree with foundation year is only available for the BSc option of this course.

Prepare for a career in computer science by studying programming, data science, AI, security and software development.

This course is ideal for aspiring technology professionals looking to learn about programming, AI, data science, software development and cyber security. Benefit from hands-on learning, industry-standard facilities and the option to specialise further with an integrated master’s degree (subject to meeting progression requirements).

Key course content

  • Become proficient in computer science by gaining knowledge and using industry-standard tools like Python, C++ and machine learning frameworks.

  • Develop cyber security and software engineering skills through hands-on projects and collaborative teamwork.

  • Enhance your global career prospects with the opportunity to apply for a placement or study abroad year.

Why you should study this course

  • Industry-relevant skills: gain expertise in programming (Python, C++), AI, data science, cyber security and software engineering through hands-on projects and cutting-edge curriculum.

  • Practical experience: work on case studies, team projects and professional software development using industry-standard tools and labs.

  • Career-boosting opportunities: you may have the opportunity to enhance your employability by applying for an optional placement year or study abroad option, supported by our careers team.

  • Advanced specialisation: with an integrated master's year, you get the opportunity to study a master’s degree while paying undergraduate fees (subject to meeting progression requirements).

  • Deepen knowledge in AI, machine learning and other high-demand fields.

  • Ethical and professional development: learn about AI ethics, cyber security risks and teamwork, helping you prepare as a responsible leader in the global tech industry.

Please visit our website for the most up-to-date information.

How to apply

Application codes

Course code:
GCDF
Institution code:
C85

This course may be available at alternative locations, please check if other course options are available.

Course options

Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Student Outcomes

Operated by the Office for Students

60 Employment after 15 months (Most common jobs)

80 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

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