BSc (Hons) Data Science

Data driven systems are now vital to business, government, science and society, and there is an increasing demand for graduates with required practical skills able to implement an ethical and well-organised approach to analysis of real-world data, present its visualisations and explain the associated business implications.

Data Science at Keele offers a unique combination of robust mathematical and computational skills, including statistical techniques and extensive application of AI and machine learning, essential for success in the rapidly growing field of Data Science. You will start your degree by exploring the theoretical underpinnings of the data science discipline, providing a solid foundation in mathematics, statistics and programming, along with a strong emphasis on the practical skills of a data analyst.

Supporting you

Throughout your studies we will give you plenty of support and guidance to help you reach your full potential. From an academic mentor to module leaders, our open-door policy makes it easy to reach us when you need help. Based within the Faculty of Natural Sciences, you will also have access to a team of Student Experience & Support Officers (SESOs). Whether you need advice, guidance or one-on-one support, you can talk to our dedicated team throughout your time at Keele, whether it’s about your studies or life outside of them. 

Teaching, learning and assessment

We embrace a modern approach to learning that includes a balanced mixture of immersive lectures and lab-based sessions. Each taught module will include traditional lectures with support material provided via our virtual learning environment (our labs also offer remote accessibility).

Our assessments often connect to the real-world working environment, putting your understanding of the subject matter to the test in real-world situations.
Assessments include examinations, class tests, coursework, short reports, project reports, oral and video presentations.

Research

Keele is at the forefront of research and our lecturers in Computer Science are internationally recognised leaders in research on synthetic biology, wearable technologies, health and cultural informatics, responsible artificial intelligence, computer vision, evolutionary robotics, automata theory, formal languages, and theory of computation. We focus on research that has the potential to create a significant impact on the computational understanding and engineering of complex systems, to improve people’s quality of life and to pave the way for world leading innovations that improve the security, reliability and quality of computing devices and services used in industry.