Master en Science des Données pour la Prise de Décision

Master’s programme in Data Science for Decision Making

In today’s world, there is an abundance of information, data and knowledge that can be explored and brought together, to gain a deeper understanding of underlying mechanisms in order to be able to make better decisions. Data Science for Decision Making (DSDM) is the young and modern discipline that aims to achieve just that, with the help of state-of-the-art scientific techniques and software. The master’s programme in Data Science for Decision Making examines the use of applied mathematics to analyse processes, problems and operations to determine their purpose and effectiveness in order to gain the maximum level of efficiency.

The information age has generated a wide variety of applications for Data Science for Decision Making in key areas of modern society including economics, telecommunications, bio-informatics, engineering, healthcare, ICT, logistics and process industry.

The Faculty of Science and Engineering (FSE) is the incubator and home of several outstanding departments and prestigious institutions in education and research. Our scientists and scholars contribute to international education programmes at the bachelor's, master's and PhD levels and take part in innovative research in the fields of humanities, education, governance, sustainability, data science and natural science.

The Faculty of Science and Engineering includes the following Departments:

• University College Maastricht
• University College Venlo
• Maastricht Science Programme (MSP)
• Department of Data Science and Knowledge Engineering (SKE)
• Institute of Data Science (IDS)
• Maastricht Centre for Systems Biology (MaCSBio)
• Aachen-Maastricht Institute for Biobased Materials (AMIBM)
• Department of Biobased Materials (BBM)
• Business Engineering
• International Centre for Integrated Assessment and Sustainability (ICIS)
• Maastricht Graduate School of Governance (MGSoG) - UNU-MERIT
• Top Institute for Evidence Based Education Research (TIER)
• Foundation Programme (FP)