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Data Science

The Data Science Pathway introduces you to one of the most powerful and versatile skill sets in today’s data-driven world. You’ll develop foundational skills in coding, statistics and data analysis, learning how to turn raw data into meaningful insights and gain a strong foundation of knowledge in statistical reasoning, computational thinking and data management.

Through hands-on work with real datasets, you’ll gain confidence using modern analytical tools across a range of disciplines, including business, social sciences and environmental studies. As well as strengthening your technical capabilities, you'll develop your analytical, creative, collaborative and problem-solving skills - enhancing your employability across all sectors, regardless of your main degree subject.

Key features:

• In-demand data skills – develop coding, statistics and analytical capabilities that are increasingly essential in data-driven decision-making.
• Turning data into insight – learn how to combine technical skills with domain knowledge to transform raw data into meaningful, actionable understanding.
• Interdisciplinary advantage – gain experience working with data across disciplines, drawing on expertise from all three Faculties.
• Enhanced employability – graduate with data-science expertise alongside your main subject, strengthening your appeal to employers across sectors.
• Research-informed learning – benefit from alignment with the University’s growing, interdisciplinary data-science research strengths.
• Confidence in data-rich environments – build the skills and mindset needed to work effectively wherever data informs decisions.

Module content:

Future Skills Pathways consist of 60 credits. You will study modules equivalent to 30 credits in year 2 of your degree and 30 credits in your final year. All modules are compulsory.

You can use the module bank in the Study Guide to view module descriptors and find more detail about the modules available.

This minor is not available to students studying for degrees in Maths, Computer or Data Science.