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Course summary

Data science plays a vital role in all aspects of the modern world. Our programme will ensure you have a strong foundation in this rapidly expanding, highly in-demand field to achieve your career aspirations. Our programme delivers a broad yet rigorous grounding in computer science and statistics, adopting both theoretical and practical learning approaches. You will gain cutting-edge knowledge and skills through state-of-the-art equipment and excellent teaching offered by both the School of Computing and Communications and the Department of Mathematics and Statistics. This engaging programme, and our reputation for excellence in research, means that you will receive high quality teaching delivered by academics who are experts in their field. Throughout the three years, you will develop a range of discipline specific skills and gain specialist knowledge that will prepare you for your chosen career. During your first year, you will gain a comprehensive understanding of the fundamental principles of computer science, and will simultaneously develop your knowledge and understanding of mathematical methods and concepts. Bringing these two fields together into data science fundamentals, you will also enhance your data analysis, problem-solving and quantitative reasoning skills. In the second year, you will further deepen your knowledge in linear algebra, probability and statistics, as well as your foundational understanding, programming, and software design skills. While studying these topics, you will complete our Project Skills module, which will provide you with the chance to enhance your research and employment skills through individual and group projects designed for data scientists. This will give you experience of approaching a data science problem in the real-world. Your third year will also give you the opportunity to specialise in a range of enriching research-informed optional modules, as well as undertaking a substantial data science individual project. In this project you will work closely with one of our academics, expand your problem-solving abilities, and draw upon the skills and knowledge that you have gained throughout your degree. This will be great experience for you to draw upon in an interview and in your career. Your fourth year will present you with a range of advanced modules as well as practical and professional experience. Blending contemporary technical training with advanced professional development, you will complete a variety of integrated industry activities during a dedicated ten-week industry placement. This is complemented with a further seven-week fourth-year project. Together, this will allow you to apply the skills you have learnt while gaining valuable real-world experience. We are working to satisfy the emerging requirements for Data Science accreditation as defined by the appropriate professional bodies (such as the British Computer Society, Royal Statistical Society).

How to apply

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Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

GCSE requirements: English Language grade C or 4

Unistats information

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

For information on our fees, please see
Data Science (with Industrial Experience) at Lancaster University - UCAS