Department of Finance

Master Thesis in Finance

Lecturer: Prof. Dr. Christian Koziol
Language: English or German

Recommended for:

M.Sc., 2nd year

ECTS credits 24 / 30
Type of exam: Thesis
Duration: 18 weeks / 6 months according to ECTS workload
Starting date: Possible on an ongoing basis


Analysis of current financial topics in corporate finance, derivatives, risk management or asset management.


Centralized Application Master Thesis Supervision Process (via ILIAS)

Each student who plans to write his / her master thesis in the next semester has to register in advance via the centralized Application Master Thesis Supervision process (closest application deadline prior to the planned starting term). We strongly recommend to apply for our department specific early approval process (outlined below), before registering via the ILIAS survey. For further information about the centralized Application Master Thesis Supervision process and the respective deadlines please reach out to the team of the Academic Advisory Service who take care of this procedure. 


Department Specific Early Approval Process (via E-Mail)

Due to the limited communication possibilities of the ILIAS survey, we strongly recommend to contact us in order to get an approval for supervision in advance of the centralized application deadline. Please send

  • a one-page topic proposal (including research idea, availability of data, methods, basic literature),  

  • an up-to-date CV,

  • a current transcript of records

  • and your contact details

  • in PDF format to fin-educationspam

In order to be able to discover your field of interest, we recommend to search the relevant journals (The Journal of Finance, Journal of Financial Economics, Journal of Banking and Finance, Journal of Corporate Finance, Review of Derivatives Research, Journal of Derivatives etc.) or the website of the Junior Management Science (JUMS), which is the academic journal to publish outstanding theses in business and management, for exciting questions.

Our early approval is based on the individual research quality, value added of supervision and capacity. We will contact you after your application.