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.

This practical focus will become even more pronounced as you progress through the programme, studying various aspects of AI and machine learning, ethical handling of data, as well as developing presentation, communication and visualisation skills. Building on foundational topics, you will explore current and emerging areas in the field, including data science techniques, probability, artificial intelligence, database systems, applied deep learning and visualisation for data science.

Throughout the programme, youll engage with real-world scenarios to enhance your learning. An example of this can be found in year two where you will collaborate in groups for an extended time to analyse a business problem, conduct research, create reports, and present your findings to various audiences.

Foundation Year

Our Foundation Year provides an excellent alternative route to Keele, providing a unique opportunity to better prepare for your chosen degree, and with guaranteed entry onto your undergraduate course once you successfully complete your Foundation Year.

Work placements

In an increasingly competitive job market, employers are seeking to recruit employees who have high-level knowledge, skills and an understanding of the workplace. In between year two and three of your studies, there is the opportunity to undertake a placement, gaining valuable practical experience. This will enable you to apply the skills and theories you have learnt to real situations in the industrial workplace and enhance your employability.

Study abroad

During your studies you will have the opportunity to spend a year or a semester studying abroad. This exciting opportunity enables you to understand your field from different cultural perspectives and to establish international networks. It also shows you have the personal attributes to embrace new experiences which can enhance your employability. We offer exchange opportunities with a wide variety of partner institutions.

Your future career

The ability to gain actionable insight from big data is highly valuable as it enables companies to understand their audience on a granular level and make decisions based on data-driven evidence. From programming in Python, through to large-scale data engineering and working on the latest deep-learning research in applied settings, you will graduate with statistical knowledge and the technical expertise, problem-solving, computational, communication, presentation, visualisation, and teamwork skills employers seek.

You will also benefit from a suite of professional development and employability skills. From guest talks by industry professionals and dedicated sessions focusing on careers and placements to understanding the context of professional, economic, social, environmental, moral and ethical considerations involved in data analysis we will provide you with the knowledge, tools and connections to develop a foundation for your future career.