Table of Content
You will also find in-depth information on further details of the Master's programme in Business Analytics & Econometrics and helpful links for organising your studies on the pages on the study structure.
Key Facts
| Degree: | Master of Science |
| Duration: | 4 semesters, full-time |
| Beginning: | Winter semester |
| Credits: | 120 ECTS |
| Language: | English |
| Content: | Studying and applying methods as well as tools of modern data analytics, artificial intelligence, and machine learning to solve real-world problems in business and economics. |
| International: | Semester Abroad, summer schools (optional) |
| Application deadline: | 15th June |
This programme provides you with:
- Fundamental analytics and technology skills
- Groundbreaking knowledge and the mindset for a successful career in data analytics for business and economics
- Vital skills for starting and managing a business in the digital age and resolving complex issues in today’s organisations
- An ability to gather, manage and analyse (big) data as well as to visualise, present and use insights gained from the data
Data analytics, digital innovation and big data are crucial developments for the upcoming challenges in all business and economic areas. This programme offers a unique blend of traditional analytics (e.g. statistics, econometrics, optimisation, simulation) and modern analytical approaches (e.g. machine learning and artificial intelligence using R and Python) and merges these approaches with the teaching of groundbreaking knowledge in the areas of economics, management, and entrepreneurship.
Still undecided?
Then get to know our offers for prospective students, which are coordinated by the WiSo Student Service Point and will provide you with individual advice tailored precisely to your needs.
This programme is right for you if you...
- have successfully completed a bachelor’s degree in economics, mathematics/statistics, computer science, physics, information systems or business administration with an international background
- possess an affinity for mathematics, statistics and digital technologies as well as the ability to use your skills in these areas to solve real-world problems
- took a liking to an entrepreneurial mindset
Chat with a student
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Application
All information about the Master's application at the WiSo Faculty.
Detailed information and contact
We are happy to support you in your ambitions:
If you are interested in or have questions about our WiSo degress programmes, the students advisors at the WiSo Student Service Point will be happy to help:
- WiSo Student Service Point Hotline: +49 (0) 221/470-8818
- www.wiso-studentservice.uni-koeln.de