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 and Idea
  • Management Studies
  • Programme Structure
  • Programme Structure Overview
  • Module Manual
  • Subject-Specific Schedule
  • Programme Director
  • Deputy Director

Management & Data Science - The Programme

Content and Idea

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.

Management studies

as a comprehensive study element

All students in the Masters programme Management & Entrepreneurship 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 (“Innovation Project”). The focus in the third semester is on the current state of research on the subject “entrepreneurship”, which is particularly applicable in relation to the foundation planning phase and business plan.

Programme Structure

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 & Entrepreneurship majors. Students planning to study abroad are advised to schedule this for their third semester.

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.

Module Manual

Programme Director

  • Prof. Dr. Ulf Brefeld
  • Prof. Dr. Peter Niemeyer

Carreer 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.

Admission requirements & 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. The admission test will take place on June 18, 2021, from 12:00pm to 12:45 (CET). 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 https://dsat.leuphana.de/#/demo-test 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: http://joshua.smcvt.edu/linearalgebra/book.pdf
Calculus: https://ocw.mit.edu/ans7870/resources/Strang/Edited/Calculus/Calculus.pdf
Statistics: https://www.math.arizona.edu/~jwatkins/statbook.pdf
Programming: https://cfm.ehu.es/ricardo/docs/python/Learning_Python.pdf

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.

Downloads

At a Glance

Degree awarded: Master of Science (M.Sc.)
Application deadline: 1 June
Type of programme: Academic prerequisites
Study places: 25
Start date: October 1
Extent: 120 CP according to ECTS
Duration: 4 semesters
Language: English
Semester contribution: approx. EUR 360

Contact

First contact point

Con­sult the Information Office in or­der to gain fur­ther in­for­ma­ti­on

  •  on the pro­ce­du­re of ap­p­li­ca­ti­on
  •  on the stu­dy pro­gram­mes at the Leuphana University
  •  or to make an ap­point­ment of student counselling in the Graduate School aside the open consultation hours 
     Tuesday 2 - 4 pm and Thursday 4 - 6 pm

Information Office

Building 8, Ground Level
Fon +49.413.677-2277
infoportal@leuphana.de

Opening Hours
Mon - Thu 9 am - 4 pm
Fr 9 am - 12 noon

Student Counselling

Graduate School

Tuesday, 2 – 4 pm
Thursday, 4 – 6 pm
Building 14, Room 026

Due to the measures against the spread of the corona virus, we can only answer your questions by phone or via video conferencing. Please contact the Infoportal by phone or e-mail.