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.
| Module Code | Module Title | Credits |
|---|---|---|
| CSC2028 (Streatham) EMG2000 (Penryn) |
Mathematics for Data Science | 15 credits |
| COM2033 (Streatham) EMG2001 (Penryn) |
Python Programming | 15 credits |
| THE3000 (Streatham) BEP3000 (Penryn) |
Ethics and Impact | 15 credits |
| BEM3096 (Streatham) EMG3000 (Penryn) |
Insight to impact | 15 credits |
This minor is not available to students studying for degrees in Maths, Computer or Data Science.