12Nov
UndergraduateCoventry University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
Open days
Course summary
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.
- Independant research project: undertake an individual research project, supported by an academic supervisor, giving you the opportunity to explore an area of interest in depth.
- 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.
Modules
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
- Advanced Calculus and Complex Analysis
- Data Modelling and Machine Learning
- Differential Equations and Applications
- Artificial Intelligence Applications
- Optimisation and AI
- Advanced Topics in Statistics
- Mathematics and Data Science Project (Single)
- Machine Learning and Statistical Modelling
- Deep Learning and Computer Vision
- Generative AI and Reinforcement Learning
- The Data Science Professional
Assessment method
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.
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:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - 120 points
A level - BBB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Access to HE Diploma
Scottish Higher - BBCCC - CCCCC
International Baccalaureate Diploma Programme - 29 points
GCSE/National 4/National 5
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
There is no data available for this course. For further information visit 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
Additional costs/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 .
Studying this course with a sandwich year incurs an additional £1,500 fee (£1,800 for international students) to cover your academic support throughout your placement year.
For full international fees and the most up to date information about tuition fees, please check the relevant course page of the Coventry University website.
Provider information
Coventry University
Priory Street
Coventry
CV1 5FB