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Data Science with foundation year

1 Study option · UndergraduateCU Coventry

Course summary

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 (Hons) option.

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 the Coventry University campus.

Foundation year
The course aims to provide you with a solid grounding in mathematical principles and an understanding of the core technology associated with the use and application of computer systems. Professional and academic skills are integrated across all modules, including information finding and handling, problem-solving and the communication of outcomes.

Explore how data can be used to address real-world challenges. Course modules offer opportunities to gain hands-on experience in areas such as AI, analytics and programming, helping you build skills that are relevant to roles in technology, business, science and related fields.

This course is designed for those passionate about data-driven problem-solving. You’ll have the opportunity to develop knowledge and skills in mathematics, AI and machine learning which are relevant across sectors such as IT, healthcare and finance. With hands-on projects, optional placement opportunities and the potential to progress to advanced study through the integrated master’s degree in data science route, this course supports your preparation for a range of roles in data science and related fields.

Key highlights
Industry-aligned skills: develop your knowledge and skills in mathematics, statistics, modelling, programming and AI to analyse complex data. These skills are applicable across sectors where data analysis is in demand.
Practical learning: apply your knowledge in computational labs, real-world case studies and research projects. Build experience with techniques used by data analysts.
Independent research project: undertake an individual research project, supported by an academic supervisor, giving you the opportunity to explore an area of interest in depth.

Why you should study this course
You’ll have the opportunity to:

  • gain practical, employer-valued skills that could help you in a range of analytical roles.

  • apply knowledge through embedded case studies, computational labs, and group projects, tackling genuine business and industry challenges.

  • boost your employability with an optional placement year or international study experience, with support from Coventry University’s careers team.

  • progress to the integrated master's degree in data science (subject to meeting progression requirements), diving deeper into advanced topics like text, image and signal processing.

  • learn to work with AI tools, programming languages and research methods, while critically evaluating your role in data science.

Each benefit is designed to enhance employability, technical skills, and practical experience - whether through core study or optional extras.

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

How to apply

Application codes

Course code:
25DF
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

80 Employment after 15 months (Most common jobs)

95 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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