Big data is one of the buzzwords in today’s business world. Since computers became more and more central to modern commerce, businesses have access to large amounts of data, for example, on their customers or transactions. This gives companies the opportunity to extract useful information using statistical and machine learning methods in order to gain a competitive advantage. The big internet companies are the obvious examples, but the topic is also especially relevant for the financial industry (like with credit analysis, fraud detection, insurance and robo-advising). In many areas these new technologies will disrupt existing business models. The course will focus on the analysis of Big Data, and how it can be used for prediction, for example bankruptcies or stock prices. The course will focus on supervised learning techniques such as regression and classification.
- Practically analyze large-scale business data using machine learning techniques
- Apply basic methods for analyzing data in R
- Apply what they have learned to real finance data
- Use statistical methods for strategic decision making
This course is part of the prestigious part-time Master in Finance program, conducted in English on Fridays and Saturdays on Campus Westend. It offers a valuable opportunity to network and gain expertise without committing to a full degree program. As the number of seats is limited, we recommend to register early. If you're a GBS or Goethe University alumni, explore our attractive alumni discount options.
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Participants have the choice of completing the course with a qualified certificate or attending as a guest auditor. As an auditor, you are not required to complete assignments, take exams or earn academic credits.
| ECTS | Certificate | |
|---|---|---|
| Guest auditor | - | Certificate of Participation |
| Full participant | 6 CP | Qualified Certificate |
This course can also be upgraded to a Certificate of Advanced Studies (CAS) in Financial Technology Management in combination with other courses from our Master in Finance program.
Prof. Dr. Steffen Juranek
Dr. Steffen Juranek has been working at the Department of Business and Management Science at the Norwegian School of Economics since 2017. He earned his PhD from Goethe University in 2012. His research concentrates on the organization of firms and markets, as well as the impact of intellectual property on firm strategy, financing, and taxation. Steffen has taught courses on statistics, management control, innovation management, and intellectual property rights.