Financial Analytics

This course introduces the fundamental process of statistical analytics and data science for finance to students interested in FinTech and financial modelling & forecasting. The course focuses on developing critical computational, statistical, and analytical skills essential for professionals conducting data-driven financial analytics in the FinTech area.

• Understand machine learning algorithms in the context of financial world.
• Understand methods in financial portfolio modelling and market risk analytics.                                    
• Evaluate data analytics skills using computer software tools to solve real-world problems in the financial service sector and report the insights for decision making.                      
• Apply working knowledge of statistical and advanced methods in data science to convert financial data into meaningful and actionable insights.

tba

Please find the current examination dates on the examination office's homepage.

For a correct identification, please bring your UniCard AND your ID to the exam.

For details on the registration and the registration period for the first exam, please also look at the websites of the examination offices of Economics!

Course materials will be available on ILIAS.

Please register for the course in HISinOne. The registration is open from tba.

In the first week of the lecture you will receive the password for the course on ILIAS via email.

• Sinem Derindere Köseoğlu (Ed.) (2022). Financial Data Analytics: Theory and Applications, Springer Publishing, Switzerland.
  
• Khang, Alex, Gujrati, Rashmi, Uygun, Hayri, Tailor, R. K. and Gaur Sanjaya (Eds.) (2025). Data- Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications, CRC Press
  
  

The course can be credited in:

• M.Sc. Economics in the profile "Finance",
• M.Sc. VWL in Finance, Accounting, and Taxation.