Programme description
What you can expect to study
- Prepare, analyse and communicate insights from data.
- Apply statistical and machine-learning techniques.
- Use programming and data tools to solve practical problems.

Teaches the computational and statistical foundations of data science, including large-scale data engineering, machine learning, visual analytics and ethics, ending with a project. Co-designed with industry and taught at the Temple Quarter Enterprise Campus; suits numerate graduates aiming to be data scientists or engineers.
Programme description
Career direction
Possible career directions include:
Career outcomes depend on experience, professional registration where applicable and the modules completed. We can help you compare the exact curriculum before you apply.
Entry requirements
Not sure you qualify? Send us your results — we’ll tell you honestly, free.
How we help
Course information checked October 2026 from the official course page on bristol.ac.uk. The expanded description is a concise GEC summary based on the course record and subject area; module choices, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with University of Bristol before you apply. Global Educational Consultants is an independent consultancy.