Business Analytics & Econometrics – Master of Science
Universitat zu Koln · Cologne, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Köln
- Apply by
- Register by 15 June 2027
- Starts
- Winter semester
Universitat zu Koln does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.
Entry requirements and how to apply
- Entry requirements
- Bachelor's GPA of at least 2.5 (German grade) at least 30 ECTS in the fields of Business Administration and/or Economics at least 24 ECTS in the fields of Statistics and/or Mathematics and/or Information Systems and/or Informatics or at least 48 ECTS in the fields of Statistics and/or Mathematics and/or Information Systems and/or Informatics Please find detailed requirements here .
- English language requirement
- B2 required, please provide an official language certificate, e.g.: TOEFL iBT (since 2026): 4 Reading: 4 Listening: 4 Speaking: 4 Writing: 4 Cambridge English Qualifications: B2 First IELTS Academic: 5.5
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the winter semester: 15 April - 15 June
- Apply through
- Please check this website .
About this programme
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. 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 Preparing you for future challenges We believe in the right balance between sound theoretical foundations and practical relevance in a close interaction between the fields of business, analytical methods, and digital technologies. The programme therefore focuses on: modern technologies and digitalisation (e.g. big data, digital innovation, digital transformation, digital business strategy, and digital entrepreneurship) the latest tools and methods in data analysis (e.g. machine learning and AI or methods from econometrics as well as Bayesian data analysis) tackl
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