Economics with Data Science

Entry requirements

You will typically need an upper second-class honours degree or an international equivalent in a quantitative-based subject: for example Maths, Engineering, Data Science, Computer Science or Physics.

OR

You will typically need 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 three different quantitative units from the Maths qualification requirements list below.

Non-quantitative subjects are considered unsuitable, these include: Arts/Humanities, Languages, essay-based Social Science subjects, Nursing/Dentistry/Veterinary Science, Sports Science.

If you are currently completing a degree, we understand that your final grade may be higher than the interim grades or module/unit grades you have achieved during your studies to date.

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

We will also consider your application if your grades are slightly lower than the programme's entry requirements, if you have at least one of the following:

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

If this is the case, please include your CV (curriculum vitae / résumé) when you apply, showing details of your relevant qualifications. Specific module requirements would still apply.

See international equivalent qualifications on the International Office website.

Months of entry

September

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 recent undergraduates, following a related degree in economics, computer science, physics, maths, or engineering, with exposure to quantitative methods and/or programming.

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

You will apply your learning to solve real problems through a dissertation project. Some of these projects are industry-led, meaning you could work closely with potential employers addressing questions relevant to them.

Whether you are looking to pursue a career as a data analyst or quantitative economist, this programme provides you with the real-world skill you need.

• Gain advanced skills in both economics and data science that many employers are looking for.
• 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 by 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.

Bristol is in the top 5 UK universities for research (REF 2021) and our MSc Economics with Data Science incorporates the latest economics research – 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.