Management, Decisions and Data Analytics

The BSc Management, Decisions and Data Analytics (MDDA) program’s mission is to prepare students for their professional occupations in a globalized world, driven by a need to create value from an abundance of data. Nowadays, companies of any size, ranging from highly innovative start-ups to large multinational-enterprises, have access to multiple data sources and face immense competitive pressure to utilize this data for their operational and strategic decision-making. To succeed in this environment, managers need to develop not only managerial skills but have to extend their knowledge to fields such as machine learning and data analytics. But ultimately, value creation out of data also encompasses a deep understanding of how humans – with their behavior captured in data – form decisions. The Management, Decisions and Data Analytics program is designed for young scholars from all over the world who share an interest in business activities, management and entrepreneurship in a data-driven context.

The program prepares students to solve management and business problems by applying methods such as machine learning, big data analytics and data visualization in the process of decision making. It addresses key managerial and methodological skills for the next generation of young professionals in times of digital transformation.

The three years BSc program is structured around three main pillars: (1) Management, (2) Decision Making and (3) Data Analytics. In the first year, students will focus on the foundations of these three pillars. The second year is dedicated to business courses aiming at the digital transformation and entrepreneurship. In the Decision Making pillar, students will deepen their understanding of the decision-making processes, both for individuals and within organizations. The third part of the second year comprises data analytics and machine learning. In the third year, tailormade specialization courses will combine the three pillars in a holistic way by focusing on subjects such as use of data in Marketing.