Master's Program in Quantitative Finance

Starting in the winter semester of 2009/2010, the new Master’s Program in Quantitative Finance will be available at WU Wirtschaftsuniversität Wien. This comprehensive 4-semester program will be taught entirely in English, and provides students with a solid academic education in the field of quantitative finance.

The Master’s Program in Quantitative Finance is a full-time degree program consisting of 120 ECTS credits. Its graduates receive the title Master of Science (WU), abbreviated as MSc (WU).

Qualification Profile:

Graduates of the Master’s Program are qualified to be tomorrow’s experts in the increasingly complex world of finance. They also have the necessary tools to launch an academic career in this demanding field.

After completing the program, graduates will be able to:
  • understand and analyze complex financial problems using mathematical and statistical models;
  • use mathematical and statistical methods and computational procedures for financial decision-making;
  • make effective use of the relevant academic literature;
  • know how to handle financial market data and information systems in theory and practice;
  • work well in teams and participate actively in problem-solving processes.

Within the program, students can further customize their own education by choosing either the Science Track or the Industry Track.

Graduates of the Science Track have the skills to:
  • grasp, analyze and discuss current scientific publications in the field of finance;
  • research, write and present academic papers;
  • further deepen and broaden their specialized knowledge in a relevant PhD program.

The Industry Track provides graduates with the competences to:
  • evaluate and analyze risks of financial instruments using current models and methods, and analyze financial time series;
  • develop and apply computational processes for solving finance-related problems;
  • translate theory into practical decision-making.

Is the Master’s Program in Quantitative Finance for you?

To succeed in this challenging program, you should be a highly qualified student with a Bachelor’s or equivalent degree in a relevant subject, a strong background in mathematics and computing, and an interest in working in the financial community.

For further information including details on the admission process see

program structure:
year 1:
semester 1: Financial Markets and Instruments, Mathematics 1, Computing, Principles of Finance, Probability, Statistics 1
semester 2: Statistics 2, Mathematics 2, Optimitation, Microeconomics, Economics, Continous Time Finance 1

year 2 - Science Track:
Financial Econometrics, Game Theory, Countinous Time Finance 2, Asset Pricing, Corporate Finance, Finance Paper Reading and Writing, Finance Research Seminar, Elecitve 1+2, Master's Thesis

year 2 - Industry Track:
Financial Econometrics, Game Theory, Asset Pricing, Corporate Finance, Advanced Topics in Computing, Industry Lab, Elective 1-3, Master's Thesis

regulated admission:
(§ 64 Abs 6 UG 2002)
  • size of cohort: 30 for 2009, 60 for later cohorts
  • admission criteria:
    • previous studies (Economics/BA, Math/Stat/Phys)
    • knowledge in finance/economics/business administration
    • knowledge in mathematics/statistics
    • english
    • achievement potential (e.g., GMAT, grades, letters)