2024 entry

BSc Data Science with a Year in Industry (G1G6)

Course overview

BSc Data Science with a Year in Industry (G1G6)

Typical offer

A-level standard offer: A*AA

A-level contextual offer: AAB

See entry requirements for full details and eligibility.

Course duration

4 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

£29,300 per year, international students

More about tuition fees, living costs and financial support.

Location

Clifton campus, Placements

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 2023).

Data science combines mathematical, statistical and computational approaches to enable knowledge discovery from data. This exciting emerging discipline has a profound impact on society, and career prospects in this field are very strong.

Choosing to spend a paid year in industry will give you the opportunity to put theory into practice in a real world setting. It can help you hone your skills in project management, teamwork and communication. You'll develop valuable professional insight and connections, boosting your employment choices after graduation. You'll be supported by our dedicated Placements administrator based in the Science Partnership Office, with help in finding the right role for you and guidance on applications and career skills.

Learn with leading academics in this exciting field. Bristol's data science expertise means that you'll be taught the sophisticated theory and methods needed to address modern data-analytic challenges, applying what you learn to real-world problems. Our highly interdisciplinary programme features links with the Bristol Institute for Scientific Computing (BriSC) as well as opportunities to learn more about your future career options through our links with industry partners.

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.

Additional information, including information about careers in Data Science and testimonials from students and industrial partners, can be found here.

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.

Think Big bursaries of £3,000 are available to support first-year international undergraduate students in this subject area.

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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