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Data Science with foundation year at Coventry University - UCAS

Course options

2025 - 20262026 - 2027
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Coventry University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Open days

18Oct
Coventry University - Undergraduate Open Day
Undergraduate
29Nov
Coventry University - Undergraduate Open Day
Undergraduate

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.

Modules

Foundation Year Modules

  • Fundamental Pure Mathematics
  • Fundamental Applied Mathematics
  • Software and Databases
  • Data Visualisation
On successfully passing your foundation year you will progress to year 1 of the degree. In your first year, you will be taught the fundamental skills and concepts needed to begin your journey as a data scientist. You’ll be familiarised with the mathematical, statistical and computational foundations, and you will apply those principles in regular laboratory sessions which help solidify your understanding. You will also begin developing the professional skills you will need in your day-to-day career on graduation: working as part of a team, the ethical and legal issues around data structure and models. This course explores mathematics, statistics, programming, AI and machine learning, equipping you to analyse complex datasets and extract insights. Study data modelling, cybersecurity and computational intelligence, applying techniques to real-world problems in sectors such as finance, healthcare and technology. Through hands-on labs, case studies and research projects, you should develop industry-relevant skills, gain experience in modern tools and strengthen your analytical problem-solving abilities. Year One Modules
  • Algebra and Applications
  • Statistics and Data Science
  • Calculus and Applications
  • Programming and Artificial Intelligence
Year Two Modules
  • Advanced Calculus and Complex Analysis
  • Data Modelling and Machine Learning
  • Differential Equations and Applications
  • Artificial Intelligence Applications
Placement Year There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement can often be beneficial. Work placements usually occur between your second and final year of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future. Final Year
  • Optimisation and AI
  • Advanced Topics in Statistics
  • Mathematics and Data Science Project (Single)
  • Optional modules, choose from one of the following: Neural Networks and Deep Learning OR Cryptography and Information Theory
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated. Before accepting any offers, please check the website for the most up to date course content. For full module details please check the course page on the Coventry University website. *For further information please check the course page on the Coventry University website.

Assessment method

The foundation year will be assessed using a variety of methods which will vary depending upon the module and may include a portfolio artefact with supportive report, or a time-constrained phase test. This course will be assessed using a variety of methods which will vary depending upon the module. Assessment methods may include:

  • Formal examinations
  • Phase tests
  • Essays
  • Group work
  • Presentations
  • Reports
  • Projects
  • Coursework
  • Exams
  • Individual assignments.
The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.

How to apply

14Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Foundation

Entry requirements

Qualification requirements

We’re here to help you achieve your study goals. If your qualifications or expected levels of grades differ from those outlined above, chat with our admissions team and between us we will explore the possibilities open to you. We accept a range of qualifications and our study experience is designed to give you options and support from the start. Contact us via our website to find out 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

Tuition fees

England £5760* Year 1
Northern Ireland £5760* Year 1
Scotland £5760* Year 1
Wales £5760* Year 1
Channel Islands £5760* Year 1
Republic of Ireland £5760* 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

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 . The fees listed above reflect the Foundation tuition fee only. To view the degree tuition fees and the most up to date fee information please check the relevant course page of the Coventry University website. Please note, this course with a foundation year is not currently available to international students. If you do not meet the entry requirements to directly join year 1 of the degree, please visit our website to find out about our international pathways. www.coventry.ac.uk
Data Science with foundation year at Coventry University - UCAS