The Master's 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 programme, our graduates have the ability to analyze massive and complex data sets, design statistical models based on the latest in information technology. The programme is designed to meet the fast-growing demand for data scientists in business, public administration, and research.
CONTENTS 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 a 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 storage and mining of massive datasets, probabilistic modelling, 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 rigour – 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 programme 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.
We recommend that all those wishing to study Management & Data Science learn at least one programming language and ensure that they have a good basic grasp of linear algebra so that they are able to meet the demands of the Master's programme from the outset. Admission requirements include a Bachelor’s degree or its equivalent.
This school offers programs in:
Last updated December 23, 2017