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Master of Science UZH ETH in Quantitative Finance

Courses Structure

Elective Courses

Each elective course belongs to one of the areas Finance (FIN) or Mathematical Methods in Finance (MF).

The list of elective courses

  • might change from year to year
  • is verified annually by the Steering Committee of the program.

In order to set individual focus points in their curriculum with their electives, MScQF students can choose from 6 thematic tracks. Please be aware that these tracks are just meant for orientation and have no legal relevance. In consequence, the tracks will not show up on the degree certificate, and students are free to mix courses from different tracks. The tracks are:
•    Track 1: Machine Learning, AI and Data in Finance
•    Track 2: Uncertainty and Risk Management
•    Track 3: Mathematical Topics in Finance
•    Track 4: Banking and Corporate Finance
•    Track 5: Insurance
•    Track 6: Portfolio Management and Asset Pricing

Download Table Tracks and Electives (DOCX, 37 KB)

External Credits

These are credits from courses which are not part of the MSc QF UZH ETH curriculum, either from ETH or UZH or from another university.

A maximum of 15 external credits are allowed according to the regulation. They must be related to quantitative finance, ie a language course will not be accepted as external credit.

How to proceed:

There will be no pre-assessment by the program director on the chances of a course to be accepted as external credit.

A recognition of external credits will only be possible being already enrolled in the MSc QF UZH ETH. It is not possible to have it checked before you start the program.

 

Master's Thesis

  • The program will encourage links with the professional community through the Master's thesis projects.
  • Some of these projects may be initiated by firms who submit research proposals. Participants may spend the summer working as interns in those firms while writing their Master's thesis.
  • The final presentation consists of a colloquium, where participants present their Master's thesis.
  • Master's Thesis Guidelines