Master Program in Finance


Read more about this program on the institution's website

Program Description


The increasing complexity of financial markets demands greater modeling techniques and a deeper understanding of financial data. The Finance Program of the Master's in Economics and Finance at the Barcelona GSE is designed to prepare you for these challenges.

An interdisciplinary approach combining Finance and Economics

The Barcelona GSE Finance Program builds on the School's outstanding faculty in Finance, Economics, Econometrics and Data Science. The program is aimed at students that seek an interdisciplinary approach that combines Finance and Economics. It is designed to give students the strong modeling techniques, econometric tools, and advanced coding skills needed for the top jobs in banking, consulting and fintech.

The Finance Program is built around three pillars:

  1. Concepts: acquire an in-depth understanding of the theory of Finance and Economics

  2. Modeling: learn how to construct and implement financial models

  3. Data analysis: apply Econometrics, Statistics and Data Science techniques to analyze complex financial data

94% career placement success within six months of graduation

Our graduates excel at designing and implementing complex financial and economics models; they have a strong understanding of the theory; and can apply their programming skills (R, Matlab, Stata and (optional) Python) to the analysis of large datasets.

Thanks to their ability to analyze and model data intensive problems, and to communicate results effectively, our graduates are in high demand from a wide range of industries, including consulting, banking, risk management and derivatives trading, portfolio and investment management, fintech, and central banks.

Most of our Finance students have a background in Economics or in a quantitative subject. Proof will be required showing an undergraduate degree with a substantial number of quantitative subjects, or GRE to demonstrate quantitative ability (however, the GRE is not mandatory for this program).

Program schedule

A key advantage of our Master in Finance is that students can benefit from BGSE top faculty teaching in a wide range of courses in their field of expertise. In particular, students with an interest in quantitative techniques can take electives in advanced econometric methods, optimization techniques, advanced programming, and machine learning, while students who are interested in economics topics can choose among the advanced economics courses in macroeconomics, monetary policy, and exchange rates.

In the Fall term, students are required to take 3 out of the following brush-up courses:

  • Calculus and Linear Algebra
  • Probability and Statistics
  • R Programming Language

During the first weeks of Term 1, students have the opportunity to take an introductory Matlab course, highly recommended for those students who have never used it before or want to reinforce their knowledge.

What skills and knowledge will I acquire in this program?

  • Advanced quantitative knowledge in finance
  • Modeling techniques for financial problems
  • Use of programming languages for finance applications
  • Econometric techniques for the analysis of financial data

Who will benefit from this program?

  • Graduates in Economics or Finance with an interest in modeling techniques and data analysis
  • Graduates in Engineering, Mathematics, Physics, or Statistics that want to pursue a career in Finance
  • Analysts and policy-makers at financial or supervisory authorities
  • Aspiring PhD students

Who hires Finance graduates?

  • Consulting Firms
  • Financial Services
  • Government & Authorities
  • Research & Academic Institutions
  • Other Industries
  • Technology

Examples of recent Finance placements:

  • Bloomberg − Analyst − London, United Kingdom
  • Cass Business School − London − United Kingdom, Cass Business School (London, United Kingdom)
  • Central Reserve Bank of Peru − Senior Analyst at Financial Research Department − Lima, Peru
  • Central Reserve Bank of Peru − Senior Macroeconomic Analyst − Lima, Peru
  • Cognizant − Financial Planning & Analytics − Chennai, India
  • European Investment Bank (EIB) − Trainee at the General Secretariat Directorate – Economics Department – Country and Finance Sector Analysis Division − Luxembourg, Luxembourg
  • Federal Reserve − Financial Institution Policy Analyst Department: Reserve Bank Operations and Payment Systems (RBOPS)--Financial Market Infrasturctures (FMIs) − Washington DC, United States
  • IESE Business School − PhD Student − Barcelona, Spain
  • OECD − Trainee in the Directorate for Science, Technology and Innovation (STI) − Paris, France
  • Oxera − Financial Analyst − Oxford, United Kingdom
  • Oxera − Senior Consultant − London, United Kingdom
  • PwC − Graduate Programme − Madrid, Spain
  • Tilburg University − PhD Student − Tilburg, Netherlands
  • Universitat Pompeu Fabra (UPF) − PhD Student − Barcelona, Spain
  • University of Cambridge − Master's Student − Cambridge, United Kingdom
Last updated Sep 2020

About the School

Barcelona Graduate School of Economics is an institution dedicated to academic rigor, open-minded thinking, and scientific impact. We do this by bringing together four of Europe’s top Economics resear ... Read More

Barcelona Graduate School of Economics is an institution dedicated to academic rigor, open-minded thinking, and scientific impact. We do this by bringing together four of Europe’s top Economics research groups, all located in the city we call home: Universitat Pompeu Fabra (UPF) Department of Economics and Business Universitat Autònoma de Barcelona (UAB) Unit of Economic Analysis Institute for Economic Analysis (IAE-CSIC) Center for Research in International Economics (CREI) Our rigorous Master’s programs are designed and taught by researchers from these four academic units. They are our Barcelona GSE Affiliated Professors, our core teaching faculty of more than 150 accomplished researchers and instructors who exemplify the pursuit of excellence that we aim to instill in every student. Read less