MSc Economics and Data Science

1 Year On Campus Masters Program

University of St Andrews

Program Overview

The MSc Economics and Data Science at Newcastle University combines rigorous economic theory with modern data science tools, enabling students to analyse markets, policy, and behaviour using data-intensive methods. It suits graduates with quantitative/analytic inclinations (economics, maths, statistics, computing) aiming for careers in policy, finance, consulting, or economic research.

Curriculum Structure
Students begin with core modules such as Microeconomics, Macroeconomics, Mathematical Analysis, Econometrics, and Numerical Methods and Scientific Programming. These modules build strong foundations in economic theory, quantitative techniques, and computational methods (using software like R, Python, Stata) to work with economic data. They also take Applied Data Science, which integrates practical data analysis, data visualisation and implementation of statistical learning, and finish with a Dissertation where students apply these tools to a real-world economics or data problem.

Focus areas: “Economic theory (micro & macro), econometrics, numerical & scientific programming, applied data science, dissertation work”
Learning outcomes: “Develop advanced analytical & quantitative skills; apply computational and statistical methods to economic data; conduct independent economic research; solve policy or market-oriented real problems using data science tools”
Professional alignment (accreditation): “Aligns with employer demands in economics, finance, policy; uses industry relevant software and quantitative & programming methods”
Reputation (employability rankings): “Highly valued MSc in the UK; Newcastle graduates of Economics master’s programmes are competitive for roles in government, consulting, financial institutions and academic research”

Experiential Learning (Research, Projects, Internships etc.)

Students in the MSc Economics and Data Science, at the Newcastle University gain practical skills through hands-on coursework, group projects, and a major dissertation supported by access to modern computing laboratories and specialist software tools. The program emphasizes real-world programming experience and encourages critical thinking about computing systems in the context of business processes and project management. Students have 24-hour access to dual-screen PC workstations and collaborative spaces conducive to group work and individual study.

Experiential learning includes:

Extensive use of modern programming environments and software development tools in state-of-the-art computing labs.
Project-based learning through Masters Programming Projects and dissertation work, often involving independent research and software development.
Regular group coursework fostering teamwork, project management, and software engineering skills.
Access to the university's digital library resources and specialised computing software to support learning and research.
Opportunities to engage with staff-led seminars and workshops to connect theoretical learning with practical applications.
Flexible module options allow exploration of cutting-edge topics such as Artificial Intelligence Practice and Data Ethics alongside core programming disciplines.

This combination prepares students for advanced roles requiring both deep technical skills and the ability to apply computing knowledge effectively in professional contexts

Progression & Future Opportunities

Graduates of the MSc Economics and Data Science at Newcastle University develop a robust mix of analytical, quantitative, and research skills, enabling them to excel in roles such as Data Scientist, Economic Analyst, Policy Advisor, and Financial Consultant. The program emphasizes real data application, economic modelling, and policy analysis, supporting diverse career paths in public, private, and academic sectors.

Newcastle’s Careers Service provides extensive support, including career workshops, industry networking, placement opportunities, and tailored guidance on professional qualifications like CFA and CFA-UK.
Employment statistics indicate high employability, with many graduates working in finance, consultancy, government, and research sectors, where starting salaries typically range from £30,000 to £50,000 depending on experience and sector.
The university's strong links with government agencies, financial institutions, and international organizations facilitate internships, collaborative research projects, and guest lectures, ensuring industry relevance.
The program is well-regarded for developing long-term analytical and policy-making skills, contributing to its strong accreditation and recognition in global economic and policy research.
Graduates consistently demonstrate critical thinking, data analysis, and policy formulation capabilities, making valuable contributions across sectors.

Further Academic Progression:
Graduates can pursue PhD research in Economics, Data Science, or related fields, or undertake advanced certifications (e.g., CFA, FRM) for specialized career paths, leadership roles, or academic careers in Economics and Data Science.