Management & Data Science

Masters Programme

The Masters programme in Management & Data Science is geared towards students wanting to advance their skills in the data analysis of real-world phenomena. After completion of this program our graduates have the ability to analyze massive and complex data sets, design statistical models based on the latest in information technology. The program is designed to meet the fast-growing demand for data scientists in business, public administration, and research.

Management & Data Science - The Programme

  • Content
  • Structure

Management & Data Science - The Programme


The rapid economic and technological transformations occurring in the global economy and the transition from an industrial to a knowledge-based economy confront corporate leaders with new challenges. The rising flood of data associated with the dynamic complexity of today’s business environment can no longer be handled by traditional methods and manager’s personal experience alone. This degree programme delivers interdisciplinary learning and research opportunities, that allows students to gain application-oriented knowledge for practical management solutions. Through the integration of management, data analysis and information systems knowledge, students will be able to develop the latest in innovative solutions for managing information-driven organizations.


During the first semester, students become experts in extracting knowledge from data. They acquire a foundation in mathematics, skills in the use of data analysis tools and an understanding of the data economics. The second semester includes modules in deep learning, probabilistic modeling, analyzing networks as well as forecasting and simulation. In the third semester, students undertake a challenging research project, working in teams to address questions of practical relevance with scientific rigor – often in cooperation with leading companies, focusing on data-intensive problems from different industries. In addition students deepen their knowledge of data privacy and ethics.

Two additional electives provide the possibility for further specialization that matches your professional or personal interests. Students can choose from a wide range of subjects, e.g.: Geo Information Systems, Semantic Web, Information Retrieval and Unstructured Data, Visualization and Communication, Parallelization and High Performance Computing. Alternatively, students can choose a maximum of two optional modules from other Management majors. Students planning to study abroad are advised to schedule this for their third semester.

Management studies as a comprehensive study element

All students in the Masters programme Management & Data Science complete management studies as an associational study element. In the process, students deepen their professional skills in the field of management knowledge in a total of three modules. Building on the first semester (“Organisation, Innovation and Strategy”), business ideas for companies and practical partners are developed within the framework of an idea competition in the second semester (“Digitalization”). The focus in the third semester is on the current state of research on the subject “Entrepreneurial Project”, which is particularly applicable in relation to the foundation planning phase and business plan.

In the field of Management Studies, students deepen their specialist skills by completing a total of three modules. The interdisciplinary Complementary Studies component to the program also comprises three modules and provide students with a general foundation in academic and research. The special focus of the Complementary Studies allows students to familiarize themselves with methods reaching beyond disciplinary boundaries and to develop new strategies for solving problems arising in science and practice.

In the final semester, students write their Masters dissertation and attend the accompanying Masters Forum.

Here you can find further information on the course content of the Masters programme Management & Data Science.

Study Regulations and Subject-Specific Schedule

The following link provides access to documents which set out the general conditions for examinations, an overview of the curriculum, as well as detailed and legally binding regulations.

General Assessment Regulations and the Subject-Specific Schedules

Teaching Personnel

Programme Director

  • Prof. Dr. Ulf Brefeld

Deputy Director

  • Prof. Dr. Peter Niemeyer

Studying Abroad

Students of this Masters programme have the opportunity to spend a semester of their studies abroad. For that, we recommend the third semester. For any questions or to apply, please contact the International Center. The International Center will provide all further information on Erasmus+ funding, and on preparing for and organising your semester abroad.

Career Prospects

The Masters programme in Management & Data Science prepares students to take on responsibilities involving analytical, conceptual, consulting, and strategic work. Graduates have a wide range of career options available to them, ranging from business consulting to corporate leadership position as well as data scientists, data engineers or specialist tracks in information-intensive organizations. Graduates are awarded a Master of Science (M.Sc.) degree.

Doctoral Track

As a student in our programme, you have the opportunity to start your doctorate early via the Doctoral Track. Thus, you to become part of the scientific community of our doctoral research groups at an early stage, giving you the unique opportunity to combine your Master's and doctoral studies and, with your doctorate in sight, to obtain your Master's degree en-route.

Admission Requirements and Application

You can find all information about the admission requirements, the application and the selection procedure on our "Apply" page.

Please note in particular: When applying for the study programme Management & Data Science, you can achieve up to 18 additional points in the selection procedure through an above-average result in our subject-specific online admission test (Leuphana Data Science Online Study Aptitude Test) and thus improve your chances of being admitted to the study programme in Lüneburg. The Leuphana Data Science Online Study Aptitude Test measures subject-related skills in the fields of maths, statistics and programming. All applicants who have properly applied will receive an invitation in June with an access code to take the test. Taking the test is free of charge and voluntary. This year's test is expected to be held on 11th June 2024 at 2pm (CEST). Applicants should double-check whether their hardware is compatible with the test infrastructure and familiarize themselves with the platform so that they know how it works when they take the test. They can do so by logging into the system at using the email address they used to apply only. In case you would like to prepare for the test, here are some pointers to publicly available textbooks. However, please note that any other book or resource covering the same topics will be useful as well. Just pick the one you feel most confident with.

Linear algebra:
Learning from Data:
Mathematics for Machine Learning:

Further information about the test and the application can also be found on the "Apply" page.

We require all applicants who would like to study Management & Data Science to be proficient in at least one programming language and to have a solid basic knowledge of linear algebra in order to be able to meet the requirements of the Masters programme from the very beginning. Please download the test below to get an insight into the topics you will deal with during your studies.


International Students

The study programme matches your interests? Then you will find further information for prospective international students on residence and social matters, such as visa, residence permit, health insurance or finding accommodation, on the following pages. Please note that the information for incoming exchange students and international degree-seeking students differs slightly.

Information for incoming exchange students

Information for international degree-seeking students

At a Glance

Degree awarded: Master of Science (M.Sc.)
Application deadline: EU degrees: 1 June / Non-EU degrees: 1 May
Type of programme: Academic prerequisites
Study places: 25 (Doctoral Track possible)
Start date: October 1
Extent: 120 CP according to ECTS
Duration: 4 semesters
Language: English
Semester contribution: ca. 320 EUR

Contact and Counselling

First contact point

The Information Office (Infoportal) is your contact point for

Information Office

Building 8, Ground Level
Fon +49.4131.677-2277

Campus opening hours
Mon - Thu 9.00 am - 4:00 pm
Fr 9.00 am - 12 noon

Student Counselling

To make an appointment with our Student Counselling Service, please use our booking tool on our website.