Master of Management in Data Science (D.S.)

Data Science (D.S.)  is one of the three specializations tracks under the Master of Management, which is an international one-year master's program (in English) that prepares students for a career in dynamic, international business environments.

The program focuses on confronting students with challenging strategic business problems to familiarize them with all major aspects of a business. The program is tailored to bachelor and master graduates who aim to widen their scope of international management as well as to deepen their knowledge of and capabilities in Data Science (DS) , Strategy and Innovation Management (S.I.M.), or International Marketing Strategy (I.M.S.) - three specialization tracks of the program. The program does not only apply to (business) economics students but also to university graduates in non-economic subject areas, such as engineers, psychologists, etc.

The Master of Management program aims to develop the following competencies:

• The graduate of the Master of Management is capable of identifying and deconstructing complex business problems, stemming from both an organizational and a strategic origin.
• The graduate is capable of evaluating, selecting, and applying suitable methodologies, tools, and techniques to analyze complex business problems in order to make hands-on, high-quality recommendations to improve both tactical and strategic decisions.
• The graduate is capable of defending suitable, high-quality business strategy options on the basis of their implications.
• The graduate is capable of translating strategic decisions into lower-level goals and key performance indicators.
• The graduate is capable of working in a multinational and interdisciplinary context, with an attitude that reflects the following elements: critical reflection, constructive arguing, professional communication, efficient collaboration, effective self-management, ethical behavior, and sustainability.

Data Science (D.S.)

In this specialization, you graduate with a hybrid profile. You know how organizations function and have the knowledge to deal with different organizational stakeholders. In addition, as a Master of Management in Data Science , you have a deep understanding of data-driven decision-making. This means you have basic knowledge of process and data analysis to drive qualitative decision-making, along with a basic set of skills to perform this type of analysis.

Why study in Hasselt?

Hasselt is known for its hospitality, making international students feel right at home.

• Located in the heart of the EU-region
• Ranked 47th best university under 50 years
• 15% international students from 75 different countries
• 550 Ph.D. students

Hasselt University is a young, dynamic centre of expertise for teaching, research, and service provision. It regards it as its social responsibility to contribute actively to a sustainable and innovative region. It aspires to be a hub in this innovation web. Hasselt University, therefore, attaches great importance to cooperation with other centres of expertise, companies, government agencies and organizations in Limburg and beyond.

As one of the drivers of regional innovation, Hasselt University focuses specifically on:

• educating students so that they become highly skilled, employable professionals;
• conducting applied and fundamental research in specific fields and encouraging practical applications from that research;
• spreading its knowledge and expertise through collaboration with industry and other external partners;
• developing foreign partnerships.

Basic principles in the implementation of these key roles are academic and scientific freedom, social engagement, attention to ethical standards and awareness of wider implications – without ideological discrimination.

For Hasselt University, the development of the human potential of all its students and staff comes first.

Facts and figures

6.433 students

604 doctoral students (of which 43% international students)

1.400 members of staff

• independent academic staff
• assisting academic staff
• administrative and technical staff

2 campuses

• Diepenbeek Campus
• Hasselt Campus

17 Bachelor programmes

30 Master programmes (5 English taught)

6 faculties + 2 school

• Architecture and Arts
• Business Management
• Medicine and Life Sciences
• Engineering Technology
• Law
• Rehabilitation Sciences
• Sciences
• • School of Transportation Sciences
• • School of Educational Studies

4 Research institutes + 3 Researh Centres

• Biomedical Research Institute (BIOMED)
• Data Science Institute (Censtat)
• Institute for Materials Research (imo-imomec)
• Institute for Environmental Sciences (CMK)
• Expertise Centre for Digital Media (EDM)
• Transportation Research Centre (IMOB)
• Limburg Clinical Research Centre (LCRC)