MSc Economics and Data Science

1 Year On Campus Masters Program

University of Nottingham

Program Overview

The MSc Economics and Data Science is designed for students who want to combine economic insight with advanced data analytics to solve real-world problems. It suits those aiming for careers in economic consultancy, data-driven policy, financial services, or tech, offering a powerful blend of economic theory, programming, and machine learning.

Curriculum Structure

Semester 1: Core Foundations in Economics and Programming
Students begin with Microeconomic Theory and Macroeconomic Theory, which provide a strong foundation in market behaviour and aggregate economic dynamics. Alongside these, Programming for Data Science introduces Python and key programming concepts, while Econometric Theory equips students with statistical tools for analysing economic data.

Semester 2: Applied Data Science and Economic Analysis
In the second semester, students take Applied Econometrics, where they work with real-world datasets and learn advanced regression techniques. Machine Learning for Economists explores supervised and unsupervised learning methods, while Data Science for Economists focuses on data wrangling, visualisation, and predictive modelling using Python.

Summer Term: Independent Research and Dissertation
The final phase is a 60-credit Economics and Data Science Dissertation, where students conduct original research using both economic theory and data science techniques. Under expert supervision, they explore topics such as algorithmic bias in financial markets, policy modelling, or predictive analytics in economic forecasting.

Focus areas

Microeconomics, macroeconomics, econometrics, machine learning, Python programming, data science

Learning outcomes

Students graduate with the ability to apply economic theory, build predictive models, and analyse complex datasets using modern programming tools

Professional alignment (accreditation)

Delivered by the Nottingham School of Economics, the program aligns with professional standards in data-driven consultancy, financial analytics, and policy modelling

Reputation (employability rankings)

The University of Nottingham ranks in the top 100 globally (QS World University Rankings 2025) and is a founding member of the Russell Group. The School of Economics is internationally recognised for its research in applied economics and quantitative methods

Experiential Learning (Research, Projects, Internships etc.)

Students in Nottingham’s MSc Economics and Data Science gain hands-on experience in economic modelling, programming, and machine learning through applied coursework and access to specialist tools. The program is delivered by the School of Economics in collaboration with the School of Computer Science, offering a rich environment for interdisciplinary learning and practical skill development.

Here’s how the program brings theory into practice:

Training in Python programming, integrated into modules like Programming for Data Science and Data Science for Economists
Exposure to machine learning techniques through the Machine Learning for Economists module, including supervised and unsupervised learning applications
Use of Stata and EViews for econometric analysis in Econometric Theory and Applied Econometrics
Access to Hallward Library, which houses extensive collections in economics, computer science, and data analytics, plus dedicated postgraduate study zones
Participation in School of Economics research seminars, featuring guest speakers from tech firms, policy institutions, and academia
Affiliation with the Nottingham Centre for Research on Globalisation and Economic Policy (GEP), offering exposure to cutting-edge research and potential dissertation supervision
Dissertation project supported by one-on-one academic supervision, allowing students to apply data science tools to real-world economic questions

Progression & Future Opportunities

Graduates from Nottingham’s MSc Economics and Data Science are uniquely equipped for roles that blend economic insight with advanced data analytics. Typical career paths include data economist, financial data analyst, policy modeller, and machine learning consultant — across tech firms, consultancies, central banks, and international organisations. The program’s interdisciplinary training ensures graduates are ready to lead in data-driven decision-making.

Here’s how Nottingham supports your career journey:

The Careers and Employability Service offers tailored support for economics and data science postgraduates, including career coaching, employer networking events, and access to the Nottingham Advantage Award — a structured employability scheme that enhances your CV
According to the Graduate Outcomes Survey, 96.5% of Nottingham postgraduates are in employment or further study within 15 months, with strong salary prospects in data analytics and economic consultancy
The Nottingham Centre for Research on Globalisation and Economic Policy (GEP) and links with the School of Computer Science connect students to research and industry projects involving data science applications in economics and public policy
The program’s alignment with professional standards in economic modelling, machine learning, and programming ensures long-term career value across public and private sectors
Alumni have progressed to roles in fintech, government analytics, and PhD programs focused on computational economics and data science

Further Academic Progression:
This MSc provides a strong foundation for PhD study in economics, data science, or computational social science. Nottingham’s interdisciplinary research centres offer doctoral opportunities, and graduates are well-positioned for funded PhD programs in the UK and internationally.