Bachelor of Science (Hons) in Data Science Keele University, UK

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, you’ll 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. You can also choose to spend time in industry with full time or modular placement opportunities, hear from industry guest speakers and develop invaluable professional and employability skills.

In your final year you will unleash your creativity and undertake a substantial piece of research, applying theoretical knowledge and problem-solving skills to a technical, software, research or business problem. Your final year project is an excellent opportunity for you to draw together skills in experimental study design, critical interpretation of data, presentation and project management.