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.

Programme structure

Our programmes are current and exciting, and you will be taught by leading academics who are tackling real problems and influencing economic policy worldwide.

In the first term, you will study three compulsory units in economics and data science. In the second term, you can choose two optional units which you will study in addition to a mandatory Machine Learning for Economics unit. Finally, you will work in a group with other students on a project-based dissertation to employ your newly acquired skills.

Visit our programme catalogue for full details of the structure and unit content for our MSc Economics with Data Science.

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.

Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.

Go to admissions statement

If English is not your first language, you will need to reach the requirements outlined in our profile level B.

Further information about English language requirements and profile levels.

If your degree subject is not listed in the main entry requirements, you must have evidence of an upper second class honours degree which includes three units of mathematics with 60% or above (or international equivalent) in each unit. Examples of acceptable units include:

  • Advanced Maths (introductory maths does not count towards maths unit requirements)
  • Analysis
  • Auditing
  • Bayesian Modelling
  • Calculus
  • Complex Functions
  • Computer Science (including programming/algorithms)
  • Data Mining/Data Science/Data Analytics
  • Decision Analysis and Simulation
  • Decision Maths
  • Derivatives
  • Differential Equations/Ordinary Differential Equations
  • Discrete Mathematics
  • Econometrics (including 'introductory' 'foundations of'; and 'advanced')
  • Financial Analysis
  • Financial Maths
  • Financial Modelling
  • Financial Reporting
  • Game Theory
  • Geometry
  • Information Theory
  • Investment Analysis
  • Kinematics
  • Linear Algebra
  • Linear Programming
  • Macroeconomics (including intermediate/advanced)
  • Management Science
  • Mathematical Programming
  • Maths for Economics
  • Mechanics (any type of mechanics)
  • Mechatronics
  • Micreoconomics (including intermediate/advanced)
  • Multi Variate Analysis
  • Network Science
  • Number Theory
  • Optimisation
  • Probability
  • Proof/Intro to Proof
  • Pure Maths
  • Quantitative techniques
  • Quantitative Methods
  • Research Methods
  • Statement Analysis
  • Statistics/Statistical Methods/Statistical Analysis
  • Supply Chain management/Logistics Management
  • Time Series Analysis

Fees and funding

UK: full-time
£17,700 per year
Overseas: full-time
£32,900 per year

Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.

More about tuition fees, living costs and financial support.

Alumni discount

University of Bristol students and graduates can benefit from a 25% reduction in tuition fees for postgraduate study. Check your eligibility for an alumni discount.

Funding for 2024/25

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

Career prospects

Graduates possess a multidisciplinary set of skills that can be tailored to a broad range of industries and occupations, such as data analyst or quantitative economist within the financial industry, private sector organisations, or public organisations such as the Government Economic Service.

As a department, we are committed to building strong links with industry and helping you gain in-demand skills. That's why our graduates are the fourth most targeted by top UK employers (High Fliers Research, 2023).

You will be supported by the University's Careers Service and the Professional Liaison Network, which provide professional mentoring, networking events and business advice.