1. Leuphana University of Luneburg
  2. Program
  3. Masters
  4. MSc Management and Data Science

MSc Management and Data Science

2 Years On Campus Masters Program

Leuphana University of Luneburg

Program Overview

The speed of economic and technical change in a globalized economy and the development from an industrial society to a knowledge society poses new challenges for corporate management. Since the increasing flood of information combined with growing dynamics and complexity of every business environment can no longer be met with empirical knowledge and traditional management methods alone we offer interdisciplinary teaching and research opportunities in the Data Science master's degree, with which approaches to solving management problems are to be developed in the sense of an action-oriented understanding of science.Modern and innovative concepts for data-based corporate management are developed through the integration of business and IT design dimensions.

Program Key Stats

€370 (Semester Fees)



Eligibility Criteria


Additional Information & Requirements

Bachelors Degree and School Leaving Certificates and Transcripts, University entrance qualification and knowledge of English, School Leaving Certificates and Transcripts, IB Diploma is recognised throughout Germany as a university entrance qualification if certain conditions are met in terms of subject choice and grades, European Baccalaureate is a general higher education entrance qualification, Successful completion of the assessment test at a Studienkolleg, proof of sufficient proficiency in English: TOEFL- internet-based test with at least 92 points, Cambridge B2 First with at least Scale 175, Cambridge C1 Advanced with at least Scale 180, Cambridge C2 Proficiency with at least Scale 200, IELTS Academic Version with at least 6,5 Punkten, Pearson Test of English, Academic Test PTE Academic with at least 58 Punkten, TOEIC- 4 skills Test with least 850 points for listening and reading and at least 340 points for speaking and writing, German DSH-2.

Career Options

  • Data scientist
  • data engineer or specialist in information-intensive organizations

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