Financial Data Science

Dealing with data, understanding contexts and basic knowledge of programming are becoming increasingly important. Data volumes or “Big Data” are becoming ever larger. But how can we use these data volumes effectively for our own purposes? The financial sector in particular is thinking hard about the benefits of “Big Data”. This programme introduces financial experts to “Machine Learning” and gives them an overview of the potentially unlimited possibilities for the scientific use of Big Data insights by financial market participants.

Registration
Factsheet
Schedule 23/24
Schedule 24/25
Examination rules

Financial professionals in the area of Data Analytics, Data Management, Risk Management, Marketing/Sales, Trading, Compliance/Regulation, IT

The programme consists of 2 in-class teaching blocks ; a kick-off session at the beginning and the project presentation at the end. In between, there are 15 live webinars and video material for self-study. After successfully completing the multiple-choice exam (duration 60 min.), the project work is started. In approximately 7 weeks, a real or fictive data set is analysed with Python. The results of the project work are presented in the final lecture.

Course language is English

Total learning effort amounts to approximately 145 hours.

After successfully completing the multiple-choice examination and presenting the final project, the Chartered Financial Data Scientist certificate is awarded.

There are no admission requirements.

After successfully completing the multiple-choice examination and presenting the final project, the Chartered Financial Data Scientist certificate is awarded.
The international certificate is awarded by AZEK and the Deutsche Vereinigung für Finanzanalyse und Asset Management DVFA .