Data Science

UCAS code: 256A

Here's what Coventry University says about its Data Science course.

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.

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.

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

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.