Information and Computer Sciences University of Luxembourg

Overview

Key features

Here are ten reasons for choosing the MICS:

• Flexible specialisation options: profiles are a unique feature of our programme that empowers students by allowing them to choose multiple specialisations and to perform interdisciplinary studies.
• Individual supervision and small class sizes: we limit the student intake in order to provide an optimal learning environment; active participation of students during lectures is encouraged.
• Early involvement in research projects: students have the possibility, via student job positions, to participate early on in scientific research projects thus giving them a better idea what research is all about.
• Ties to industry: the master thesis can be done for a company; this option is especially interesting for students who do not plan to do a PhD.
• Strong research: our master programme is taught by staff from the Department of Computer Science, the largest Department at the University of Luxembourg and also the one with the highest scientific output. In the last few years the DCS has pursued a strategy of hiring top professors from around the world.
• International and multi-cultural environment: both students and faculty come from many different cultural backgrounds, which makes studying computer science in Luxembourg so much more exciting.
• Quality of life in Luxembourg: in a recent survey by Mercer Consultancy, Luxembourg was ranked the safest city among 215 capitals and 17th in terms of quality of living.
• At the heart of Europe: Luxembourg is a short train ride away from cities such as Paris, Brussels, Frankfurt.

• Other employment opportunities in the public sector, local industries and public research institutes

• PhD in computer science

Objectives

The Information and Computer Sciences programme at the University of Luxembourg introduces students to state-of-the-art computing technologies in various fields corresponding to different profiles that can be selected by the students:

• Adaptive Computing
• Communication Systems
• Information Security
• Intelligent Systems
• Reliable Software Systems

The programme particularly equips students with skills for project-oriented, interdisciplinary work within a research or high-level industry-oriented environment as well as laying the groundwork for PhD studies. The multilingual and intercultural environment empowers the students to work both individually and in multinational teams.