Taught course

Economics with Data Science

University of Bristol · Department of Economics

Entry requirements

An upper second-class undergraduate honours degree or international equivalent in Maths, Engineering, Data Science, Computer Science or Physics.


An upper second-class honours degree or international equivalent in an Economics or quantitative discipline or a related field. This must include a 2:1 in at least 3 quantitative units from the maths qualification requirements list below.

For applicants who are currently completing a degree, we understand that their final grade may be higher than the interim grades or module/unit grades they achieve during their studies.

We will consider applicants whose interim grades are currently slightly lower than the programme's entry requirements. We may make these applicants an aspirational offer. This offer would be at the standard level, so the applicant would need to achieve the standard entry requirements by the end of their degree. Specific module requirements may still apply.

We will consider applicants whose grades are slightly lower than the programme's entry requirements, if they have at least one of the following:

  • evidence of significant (minimum of 2 years in a paid role) relevant work experience such as data analysis, economics modelling, data informed policy making.
  • a relevant postgraduate qualification.

If this is the case, applicants should include their CV (curriculum vitae / résumé) when they apply, showing details of their relevant work experience and/or qualifications.

See international equivalent qualifications on the International Office website.

Months of entry


Course content

Gain an in-depth understanding of economics, econometrics and data science on our interdisciplinary MSc Economics with Data Science.

This programme is suited to both professionals and undergraduates seeking advanced training in economics and data science, following a related degree in economics, computer science, physics, maths, or engineering, with exposure to quantitative methods and/or programming.

Combining theoretical training and the teaching of practical tools, this programme is taught by experts in both economics and mathematical engineering disciplines and provides training on essential programming and data science software, alongside robust economics content distinctive to this programme.

You will put your training into practice through dissertation projects in which you apply your learning to solve real problems. Some of these projects are industry-led, meaning you would work closely with potential employers and help them address questions relevant to their work.

Whether you are looking to pursue a career as a data analyst or quantitative economist, this programme provides you with high-quality training with real-world applications.

  • Gain advanced skills in both economics and computer science - skills in high demand from employers.
  • Evidence hands-on practical experience and build industry connections.
  • Navigate state-of-the-art software including Amazon Web Services (AWS) and Python to explore big data in a real-world setting.
  • Develop soft skills through working in a professional environment, essential for employment in any sector.

You can further enhance your skills by selecting from a variety of optional units to tailor your studies to your interests.

MSc Economics with Data Science incorporates the latest research developments from the School of Economics - research that has a direct impact on policy and practice. You will be joining an academic community that is international, forward-thinking, collaborative, and committed to helping all our students reach their full potential.

Information for international students

See international equivalent qualifications on the International Office website.

Fees and funding

Further information on funding for prospective UK and international postgraduate students.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Enquiries Team
+44 (0) 117 394 1649