Data Science DipHE

Data Science is a fast-growing interdisciplinary field which combines statistics, machine learning, Artificial Intelligence and data analysis to extract insights from data.

This two-year course will introduce you to the fundamentals of Data Science and data analysis and give you practical experience working with industry-standard tools, systems and programming languages. Through problem-based learning, practical computer-based workshops and group activities, you will gain the skills and knowledge you need to succeed in industry.

What is a 'DipHE'?
A Diploma of Higher Education (DipHE) at Level 5 is awarded after two years of full-time study at university. Our DipHE programmes are hands-on and practical, with flexible learning options available so you can choose to study full or part time.

You can take a DipHE straight from college when you have completed qualifications like BTECs or A-Levels. Some people choose to take a gap year first or spend some time working before they start a DipHE.

Diplomas of Higher Education are perfect for people who want a university experience, but do not want to take a full undergraduate degree qualification. You get the support and teaching quality of a degree but don’t have to commit to three years of study before you begin. A DipHE can lead directly to a career as you will have gained valued skills and experience, or you might choose to continue with further studies.

Our new home for computing
In Autumn 2022, we opened our new £65 million hub for science, engineering and the environment - and our new home for computing. Sustainability-designed and 100% electric powered, the building offers unrivalled teaching, learning and research facilities and provides exciting new spaces for industry collaboration.

You will:
- Be studying at a university with longstanding links in Data Science, giving you maximum employment and placeholder opportunities

- Broaden your understanding of data science, machine learning and AI, some of the most 'in demand' skills in the modern economy

- Gain experience using programming languages such as Python and SQL

- Learn through hands-on exercises, group activities and live industry briefs, and work with messy, real-world datasets in realistic, problem-based scenarios

- Build the practical skills you need for a broad range of career paths within data science and data analysis

- Develop your skills using a wide-range of industry-standard tools for data visualisation, statistical analysis and Big Data analytics