MSc Economics with Data Science
- MSc
Overview
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 such as economics, computer science, physics, maths, or engineering, with exposure to quantitative methods and/or programming.
You will be taught by experts in economics and mathematical engineering, combining theoretical foundations with practical training in programming and data science software. You will develop advanced skills in economics, data analysis, machine learning and the use of large-scale data in real-world settings.
You will apply your learning through an applied research project. Some projects are industry-led, giving you the opportunity to work closely with potential employers on questions relevant to their organisations.
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.
Teaching for this programme takes place both at our vibrant Clifton Campus and our cutting-edge Temple Quarter Enterprise Campus, where enhanced links with businesses will help give you real-world knowledge, networks and skills to succeed once you graduate. Economics units are taught at Clifton, while Finance units are taught at Temple Quarter.
Bristol is a top 5 UK university for research (REF 2021), and the programme is informed by current economics research with direct relevance for policy and practice. You will join an international, forward-thinking and collaborative academic community committed to helping students reach their full potential. Our postgraduate student reviews reflect this, with 96% of our Economics students reporting overall satisfaction with their course and educational experience (PTES 2026).
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 compulsory units in economics and data science. In the second term, you will study a mandatory Machine Learning for Economics unit alongside optional units that allow you to tailor the programme to your interests.
You will then work in a group on an applied research project, potentially in collaboration with an industry partner, to address a real-world problem. Assessment combines group and individual work, with the majority of your dissertation mark based on your personal contribution.
Visit our programme catalogue for full details of the structure, unit content and assessment for our MSc Economics with Data Science.
Entry requirements
- Accounting and Finance
- Actuarial Sciences
- Computer Science
- Data Science
- Economics
- Engineering
- Finance
- International Economics and Trade
- Maths
- Physics
- Commerce (with specialism in Accounting/Finance/Accounting & Finance/Economics).
OR
if your degree subject is not listed above, you will typically need an upper second-class honours degree or an international equivalent with three different units of mathematics with 60% or above (or an international equivalent) in each unit, from the units listed in the Maths qualification requirements list below
OR
A-level Mathematics with grade A if no mathematics or quantitative units in your degree.
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 final overall achieved grade is slightly lower than the programme's entry requirement.
- five years relevant work experience related to data analysis, economics modelling, data informed policymaking e.g. a relevant civil service role
- a relevant postgraduate qualification. Specific module requirements would still apply, which can be met in either undergraduate or postgraduate 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.
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.
- Accounting ('principles of', 'fundamentals' or 'intermediate')
- Advanced Maths
- Algebra
- Analysis
- Analytical Chemistry
- Auditing
- Banking
- Bayesian Modelling
- Business Analytics
- Business Economics
- Business Maths
- Business Statistics
- Calculus
- Complex Functions/Systems
- Computational Methods (including in the social sciences and research)
- Computer Science (including programming, algorithms and physical computing)
- Corporate Finance
- Cost Accounting/Analysis/Management
- Data Analytics
- Data Mining
- Data Science
- Decision Analysis and Simulation
- Decision Maths
- Decision Science
- Derivatives
- Differential Equations (including Ordinary Differential Equations)
- Discrete Maths
- Econometrics (including 'introductory', 'foundations of' and 'advanced')
- Economics
- Electrical Engineering
- Electricity Magnetism
- Electronic Engineering
- Engineering (including materials and structural)
- Equilibrium
- Experiment (including experimental design, experimental studies, experimental research and control trials)
- Finance ('principles of', 'fundamentals' or 'intermediate')
- Financial Analysis
- Financial Markets
- Financial Maths
- Financial Modelling
- Financial Reporting
- Financial Statement Analysis
- Forecasting
- Game Theory
- Geometry
- Geotechnical
- Information Theory
- Investment Analysis
- Kinematics
- Kinetics
- Linear Algebra
- Linear Programming
- Logistics Management
- Machine Learning
- Macroeconomics/Microeconomics (also called Economics III/IV)
- Management Science
- Mathematical Programming
- Maths
- Maths for Business
- Mechanics (any type)
- Mechatronics
- Method
- Modelling
- Multi Variate Analysis
- Network Science
- Number Theory
- Operational Research
- Optimisation
- Physics (any type)
- Portfolio Management
- Probability (including stochastic models/methods)
- Programming
- Proof (including introduction to proof)
- Pure Maths
- Qualitative Research Methods/Techniques
- Quantum Computing
- Quantum Mechanics
- Research Methods
- Robotics
- Simulation
- Social Network Analysis
- Statement Analysis
- Statistical Analysis/Methods
- Statistics
- Supply Chain Management
- System Dynamics
- Taxation
- Thermodynamics
- Time Series Analysis
Introductory maths does not count towards maths unit requirements.
Fees and funding
- Home: full-time
- £19,500 per year
- Overseas: full-time
- £34,500 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 and scholarships
Further information on funding for prospective UK and international postgraduate students.
Career prospects
Programme 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.
Recent graduate destinations include the UK Home Office, the Bank of China, PwC, Samsung, Lloyds Banking Group, Digital China Information Technology Services, Jane Street, Meituan, and the UK Ministry of Housing, Communities & Local Government. Other alumni have progressed to PhD study, for example at Imperial College London, and Manchester Business School.
Bristol is 57th in the world and a UK top 10 university (QS World University Rankings 2027), and Bristol graduates are in high demand. The University was ranked seventh in the UK for employability in the QS Graduate Employability Rankings 2022.
We offer a broad range of support and links to partner organisations, helping you prepare for an exciting future career - whether in the UK or overseas. You will have access to our Careers Service and Professional Liaison Network, which provide professional mentoring, networking events and business advice.
Contact us
- Contact
- Enquiries Team
- Phone
- +44 (0) 117 394 1649
- choosebristol-pg@bristol.ac.uk
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