2023 entry (view 2022 entry)

BSc Data Science (G1G5)

Course overview

BSc Data Science (G1G5)

Typical offer

A-level standard offer: A*AA

A-level contextual offer: AAB

See entry requirements for full details and eligibility.

Course duration

3 year(s) full-time

Part-time study is not available for this course

Application method

Full-time: UCAS

Fees

£9,250 per year, home students

£27,200 per year, international students

More about tuition fees, living costs and financial support.

Location

Clifton campus

Join a University ranked in the UK top five for Maths research (THE analysis of REF 2021) with an excellent reputation for teaching and learning (UK top ten for Maths, QS World University Rankings by subject 2022).

Data science is an exciting, emerging discipline that has a profound impact on society. The world produces increasing volumes of data every day and making sense of this data has the capacity to be transformative.

Data science combines mathematical, statistical and computational approaches to enable knowledge discovery from data. Employability prospects in this field are very strong.

Bristol’s data science expertise means that you’ll be taught the sophisticated theory and methods needed to address modern data-analytic challenges by leading academics in this field. You will study units involving a blend of theoretical background and practical skills designed especially for this new course, including Mathematical Tools for Data Science, Advanced Linear Modelling and Classification, and Algorithms and Machine Learning.

Our highly interdisciplinary programme features links with the Bristol Institute for Scientific Computing (BriSC) as well as exposure to real-world problems from our industry partners.

With applications across a wide range of industries, studying data science will equip you with the knowledge and skills you need to fast-track your career. Pharmaceuticals, manufacturing, market research, social media, finance, sports and disaster management are all fields with high demand for data scientists.

If you’re interested in pursuing further research, our Centre for Doctoral Training, COMPASS, offers the opportunity to study computational and statistical science through a four-year PhD programme.

This course is accredited by the following organisations

Institute of Mathematics and its Applications (IMA) This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.

Course structure

Full details about the course structure and units for this course can be viewed in the programme catalogue.

Go to programme catalogue

Entry requirements

We accept a wide variety of qualifications and welcome applications from students of all backgrounds. Below is a guide to the typical offers for this course.

Applicants must also meet these requirements

GCSE profile requirements

No specific subjects required

Further information about GCSE requirements and profile levels.

English language requirements

If English is not your first language, you need to have one of the following:

Further information about English language requirements and profile levels

More about UK qualifications.

Selection process

Key information about this course

Next steps

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