Financial Analytics

Please register for this lecture in HISinOne!

Lecture

taught by Dr. Saswat Patra

Content

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.


 

Dates
Tue Oct 28th4-7pmlecture hall 3219 KG III

Thur Oct 30th

 

8-10am

 

lecture hall 1015 KG I

 

Tue Nov 04th4-8pmlecture hall 3219 KG III
Thur Nov 06th8-10amlecture hall 1015 KG I

Fr Nov 07th

 

8-10am

 

lecture hall 1015 KG I

 

Tue Nov 11th4-8pmlecture hall 3219 KG III
Wed Nov 12th4-8pmlecture hall 3118 KG III


                                                                             

First MeetingOctober 28th, 2025
 
LanguageEnglisch
 
PrerequisiteBasic Statistics and/or Econometrics courses
 
ECTS4
 
Exam         

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!

ILIAS

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.

 

Literature
  • 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

Credit

The course can be credited in:

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

 

Benutzerspezifische Werkzeuge