Our Mission

To foster students individually with the aim to develop their quantitative skills to solve real-world problems in the financial industry.

Our Focus

Reinforce basic concepts in finance. Enhance skills in financial econometrics. Extend potential in cutting-edge Machine Learning for finance.

Our Tools

Excel/VBA in our basic courses. Python via JupyterHub as the programming language in our advanced courses in combination with GitLab to collaborate on code.

 


Our Course Library

Explore our courses at the center of Finance- Risk- and Resource Management.  Find more information on our courses, as well as our seminar and theses topics on our university website. 

Research topics in Finance

Cutting-edge ML techniques on real datasets. Replicate the main results of an A+ ranked journal article using Python and extend this strand of research  

Data scraping
Machine Learning
Financial Applications
Python
Financial Econometrics

Basic concepts for financial econometrics like multivariate regressions. Advanced methods for time series analysis and forecasting.  

Regression Analysis
Time Series Analysis
Financial Forecasting
Python
Quantitative Finance

Get deep insights into state-of-the-art interest rate models and derivative valuation in practice. Hands-on real problem sets using Python  

Asset Pricing
Interest rate models
Derivatives valuation
Python
Financial Modeling

Hands-on: Implementation of relevant topics covering investment-, portfolio- and risk management using Excel and VBA  

Investment Valuation
Portfolio Management
Risk Management
Excel/VBA
Investment-, Portfolio- and Risk- Management

Learn how to optimize your portfolio and discover tools for risk management.  

Investment Valuation
Portfolio Management
Risk Management
Excel/VBA
Investment and Financing

Our course Investment and Financing covers the basic concepts of financial markets and investment valuation.  

Investment Valuation
Portfolio Management
Risk Management
Excel/VBA