Master Quantitative Finance

The specialized Master's degree programme of Science ETH UZH in Quantitative Finance is a highly international degree programme offered jointly by the University of Zurich (Department of Banking and Finance) and ETH Zurich (Department of Mathematics).

A distinguishing feature is its unique combination of economic theory and finance with mathe­matical methods (probability theory, statistics and econometrics, numerical analysis) for finance and insurance. Recent developments in the FinTech area are included in several lectures.

The curriculum consists of two semesters of coursework followed by the writing of a Master's thesis.

The programme qualifies through

• A very competitive selection of participants (around 15%-20% admitted each year)
  
• A close supervision by the programme director thanks to a small group of students
• Good opportunities for interaction with the Swiss financial services industry
• The international dimension - more than 60% of students come from outside of Switzerland

Graduates are prepared for excellent opportunities to work as specialists in quantitatively oriented areas of the financial services industry. Another career opportunity is to begin doctoral studies in a programme in (quantitative) finance, opening the door to an academic career.

The programme consists of core courses and elective courses. Each student needs to acquire 36 credits from the core courses, 24 credits from the elective courses and 30 credits with the Master’s thesis. Any course of the programme is part either of the field "Finance (FIN)" or of the field "Mathematical Methods for Finance (MF)".  

Qualifying disciplines

The MSc Quantitative Finance strictly requires a University Bachelor's degree with

• a finance
  
• an economics
  
• and/or science background (mathematics, physics, engineering, data science, etc)

There is a special admission and application process for this Master's degree programme.

Detailed information

external pageMaster's degree programme Quantitative Financecall_made
(information on application, admission, selection process, deadline and curriculum)