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
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
Key Facts
Degree: Master of Science
Duration: 4 Semesters
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: 1 optional Semester Abroad
Application deadline
From the beginning of January until 15 June, you can apply online via the campus management system KLIPS.
- All subject and language requirements must be met by the application deadline.
- All documents must be provided in either German or English and submitted by the application deadline.
- Documents submitted after the application deadline will not be accepted.
Subject-related requirements
Completed bachelor's degree: In cases where present Bachelor studies have not been fully completed, application is permitted if the candidate has earned at least 80% of the required credits and will have achieved the remaining results by 30 September at the latest. The specific admission criteria governing the designated course of study (including the overall grade) must already have been fulfilled on the basis of the exam results available at the time of application.
Bachelor's grade: at least 2.7 (German grade)
Subject-related requirements:
- 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