Quant Guide 2022: Technical University of Munich

Munich, Germany

QUANT 20 TUM 614629.jpg
 

 

Star signings in Munich aren’t limited to its famous football club: Blanka Horvath, winner of Risk.net’s 2020 ‘Rising star in quant finance’ award, has been hired as a new instructor for the Technical University of Munich’s (TUM) Master’s in Mathematical Finance and Actuarial Science.

Hans Buehler – global head of equities data analytics, automation, and optimisation at JP Morgan and pioneer of so-called deep hedging techniques – will also teach seminars this year as a visiting professor.

New courses added to the programme this year include classes in machine learning in finance and insurance mathematics. Machine learning classes have proven particularly popular among students, according to the programme. The R and Matlab languages continue to be used throughout the programme’s modules. Matthias Scherer and Rudi Zagst are the current programme directors.

The number of full-time students has risen from 25 in the previous year to 48 this year, with the number of international students also increasing, from 14 to 21. As a result, average class sizes have grown from 20 to 30. The quantity of applications received has risen from 100 to 160, with the number of offers made to applicants reaching 75, versus 47 for the previous academic year.

This academic year, none of the programme’s teaching will be conducted online. The extent to which proof of vaccination is needed to attend in-person classes will depend on the German government’s guidance regarding vaccination.

Aleksey Min, chair of mathematical finance at TUM, says the switch to remote learning had no impact on last year’s grades. Likewise, employment prospects have not been affected negatively by the pandemic, he adds: post-master’s salaries have gone from $50,874 on average last year to $59,536 this year.

View this institution’s entry in the 2021 guide

View other universities and a guide to the metrics tables

  • LinkedIn  
  • Save this article
  • Print this page  

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact [email protected] to find out more.

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: