Structure & Content
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.
Office hours: by appointment (qfin@wu.ac.at)
Industry Track Mandatory Courses
Course | ECTS | Hours | Type |
---|---|---|---|
Industry Lab | 8 | 4 | FS |
Master Thesis Seminar | 2 | 2 | FS |
Electives (5 to select)
Currently, we are offering the following electives: | ECTS | Hours | Type |
---|---|---|---|
Advanced Topics in Computing | 4 | 2 | PI |
Asset Pricing | 4 | 2 | PI |
Data and Text Mining | 4 | 2 | PI |
Machine Learning in Finance | 4 | 2 | PI |
Financial Time Series Analysis | 4 | 2 | PI |
Bayesian Econometrics | 4 | 2 | PI |
Advanced Topics in Continous Time Finance | 4 | 2 | PI |
Quantitative Risk Management | 4 | 2 | PI |
Credit Risk | 4 | 2 | PI |
Financial Engineering | 4 | 2 | PI |
Optimization | 4 | 2 | PI |
Advanced Mathematical Methods | 4 | 2 | PI |
Portfolio Management - Applications | 4 | 2 | PI |
Sustainable Finance | 4 | 2 | PI |
Advanced Topics in Banking | 4 | 2 | PI |
Market Microstructure: Theory and Applications | 4 | 2 | PI |
Game Theory | 4 | 2 | PI |
ECTS | Hours | Type | |
---|---|---|---|
Master Thesis | 20 |
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
Course | ECTS | Hours | Type |
---|---|---|---|
Paper Reading and Writing | 4 | 2 | FS |
Research Seminar I: Finance or StatMath | 2 | 2 | FS |
Research Seminar II: Finance or StatMath | 2 | 2 | FS |
Master Thesis Seminar | 2 | 2 | FS |
Electives (5 to select)
Currently, we are offering the following electives | ECTS | Hours | Type |
---|---|---|---|
Advanced Topics in Computing | 4 | 2 | PI |
Asset Pricing | 4 | 2 | PI |
Data and Text Mining | 4 | 2 | PI |
Machine Learning in Finance | 4 | 2 | PI |
Financial Time Series Analysis | 4 | 2 | PI |
Bayesian Econometrics | 4 | 2 | PI |
Advanced Topics in Continuous Time Finance | 4 | 2 | PI |
Quantitative Risk Management | 4 | 2 | PI |
Credit Risk | 4 | 2 | PI |
Financial Engineering | 4 | 2 | PI |
Optimization | 4 | 2 | PI |
Advanced Mathematical Methods | 4 | 2 | PI |
Portfolio Management - Applications | 4 | 2 | PI |
Sustainable Finance | 4 | 2 | PI |
Advanced Topics in Banking | 4 | 2 | PI |
Market Microstructure: Theory and Applications | 4 | 2 | PI |
Game Theory | 4 | 2 | PI |
Course | ECTS | Hours | Type |
---|---|---|---|
Statistical and Machine Learning | 5 | 2 | PI |
Asset/Risk Management II | 5 | 2 | PI |
Advanced Courses for both Tracks
Specialization Science Track
Specialization Industry Track
Master Thesis
Phase 3 (Mar-Apr)
Course | ECTS | Hours | Type |
---|---|---|---|
Corporate Finance | 5 | 2 | PI |
Financial Markets and Instruments | 5 | 2 | PI |
Statistics 2 | 5 | 2 | PI |
Phase 4 (May-Jun)
Course | ECTS | Hours | Type |
---|---|---|---|
Asset/Risk Management I | 5 | 2 | PI |
Mathematical Finance | 5 | 2 | PI |
Econometrics | 5 | 2 | PI |
Phase 1 (Oct-Nov)
Course | ECTS | Hours | Type |
---|---|---|---|
Mathematics | 5 | 2 | PI |
Microeconomics | 5 | 2 | PI |
Computing | 5 | 2 | PI |
Phase 2 (Dec-Jan)
Course | ECTS | Hours | Type |
---|---|---|---|
Probability | 5 | 2 | PI |
Principles of Finance | 5 | 2 | PI |
Statistics 1 | 5 | 2 | PI |
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 WagnerBridging Course in Finance
Prof. Stefan Pichler
Preparatory Courses
highly recommended prior to program start1st semester
2nd semester
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 start1st semester
2nd semester
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
Specialization Science Track
Specialization Industry Track
Master Thesis
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.