Studierende sehen sich auf einem Tablet gemeinsam etwas in der Lernzone im D3 Gebäude an.

Structure & Content

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Over the course of studies, students acquire theoretical as well as practical knowledge and skills to comprehend and apply mathematical models on complex financial problems.

The Master Quantitative Finance is a full-time program which takes 4 semesters.

QS QS Masters of Finance Ranking 2024

Office hours: by appointment (qfin@wu.ac.at)

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Industry Track Mandatory Courses
CourseECTSHoursType
Industry Lab84FS
Master Thesis Seminar22FS
Electives (5 to select)
Currently, we are offering the following electives:ECTSHoursType
Advanced Topics in Computing42PI
Asset Pricing42PI
Data and Text Mining42PI
Machine Learning in Finance42PI
Financial Time Series Analysis42PI
Bayesian Econometrics42PI
Advanced Topics in Continous Time Finance42PI
Quantitative Risk Management42PI
Credit Risk42PI
Financial Engineering42PI
Optimization42PI
Advanced Mathematical Methods42PI
Portfolio Management - Applications42PI
Sustainable Finance42PI
Advanced Topics in Banking42PI
Market Microstructure: Theory and Applications42PI
Game Theory42PI
 ECTSHoursType
Master Thesis20  

For Industry Track students the process will be structured in a Master Thesis Seminar.
Science Track students will define their topic within the Paper Reading and Writing Seminar while the Master Thesis Seminar will have a different focus.

Master Thesis Process:
  • Kick-off meeting of the seminar in end of October/beginning of November

  • List of topics / subjects areas provided by potential thesis supervisors

  • Structured allocation process, to be completed before Christmas

  • Presentation of proposals in January

  • Final presentation of thesis findings in June

Science Track Mandatory Courses
CourseECTSHoursType
Paper Reading and Writing42FS
Research Seminar I: Finance or StatMath22FS
Research Seminar II: Finance or StatMath22FS
Master Thesis Seminar22FS
Electives (5 to select)
Currently, we are offering the following electivesECTSHoursType
Advanced Topics in Computing42PI
Asset Pricing42PI
Data and Text Mining42PI
Machine Learning in Finance42PI
Financial Time Series Analysis42PI
Bayesian Econometrics42PI
Advanced Topics in Continuous Time Finance42PI
Quantitative Risk Management42PI
Credit Risk42PI
Financial Engineering42PI
Optimization42PI
Advanced Mathematical Methods42PI
Portfolio Management - Applications42PI
Sustainable Finance42PI
Advanced Topics in Banking42PI
Market Microstructure: Theory and Applications42PI
Game Theory42PI
CourseECTSHoursType
Statistical and Machine Learning52PI
Asset/Risk Management II52PI

Advanced Courses for both Tracks

10 ECTS

Specialization Science Track

30 ECTS

Specialization Industry Track

30 ECTS

Master Thesis

20 ECTS
Phase 3 (Mar-Apr)
CourseECTSHoursType
Corporate Finance                     52PI
Financial Markets and Instruments52PI
Statistics 252PI
Phase 4 (May-Jun)
CourseECTSHoursType
Asset/Risk Management I52PI
Mathematical Finance52PI
Econometrics52PI
Phase 1 (Oct-Nov)
CourseECTSHoursType
Mathematics52PI
Microeconomics52PI
Computing52PI
Phase 2 (Dec-Jan)
CourseECTSHoursType
Probability52PI
Principles of Finance                52PI
Statistics 152PI

The bridging courses will refresh and deepen your skills and knowledge in the relevant fields and prepare you for the classes of the first semester. We strongly recommend that you attend these courses.

The bridging courses will be offered in September prior to the program start. The bridging courses can only be attended by students already admitted to the Master Program in Quantitative Finance.

  • Bridging Course Mathematics
    Dr. Andrea Wagner

  • Bridging Course in Finance
    Prof. Stefan Pichler

Preparatory Courses

highly recommended prior to program start

1st semester

30 ECTS

2nd semester

30 ECTS
Curriculum/Table of Class Hours

You will find all important information about the Quantitative Finance Master's programm in our new brochure.

Download the brochure here.

Course of Studies

First Year

Preparatory Courses

highly recommended prior to program start

1st semester

30 ECTS

2nd semester

30 ECTS
Second Year

In your second year, you specialize. You can choose the Science Track to prepare for an academic career or the Industry Track to train for a career as a quant. You will combine expertise on financial models with computational skills and apply your knowledge in real-world settings in cooperation with our corporate partners.

Advanced Courses for both Tracks

10 ECTS

Specialization Science Track

30 ECTS

Specialization Industry Track

30 ECTS

Master Thesis

20 ECTS

Over the course of studies, students acquire theoretical as well as practical knowledge and skills to comprehend and apply mathematical models on complex financial problems.

The Master Quantitative Finance is a full-time program which takes 4 semesters.

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Faculty