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.
This course includes a sandwich (placement year) option.
For the most update to date course details, please visit our website.
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
Additional Year
Machine Learning and Statistical Modelling
Deep Learning and Computer Vision
Generative AI and Reinforcement Learning
The Data Science Professional
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.
Coventry University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
See why these ratings were awarded
What does this TEF outcome mean?
This course may be available at alternative locations, please check if other course options are available.
Course optionsDiscover what it's like to study Data Science at Coventry University: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.
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.
Grades alone don’t tell us everything about your potential and your story. We use information from your application to assess achievements in your personal situation to support fair and equal access. For example, we consider where you live, your school, if you are a carer or a care leaver or have experienced disruption to your education.
We have different schemes that recognise this context that may result in a reduced offer by up to 24 UCAS points or equivalent.
This section shows the range of grades that students who received offers were previously accepted on to this course 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.
This course may have Historical entry grades data available, please select a course option to view.
Course optionsThis report uses your grades to show how students with similar results have done when applying to this course in the past. Sometimes, there isn’t data for every possible set of grades. When that happens, universities and colleges occasionally fill in the gaps for sets of grades that are typically accepted.
| Location | Fee | Year |
|---|---|---|
| England, Scotland, Wales, Northern Ireland, Channel Islands & Republic of Ireland | £9790* | |
| EU & International | £20800* |
* 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.
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Email:applications.io@coventry.ac.uk
Phone:+44 024 7765 2152
Email:ukadmissions@coventry.ac.uk
Phone:024 7765 2222
Priory Street
Coventry
CV1 5FB
At Coventry University
