Study Programmes Master in Data Science

Launch your career in Data Science

Data Science

The Master in Data Science (MADS) at the University of Luxembourg provides students with the necessary mathematical and computer science skills to allow them to solve complex problems with data in different contexts.

The programme at a glance – 120 ECTS

  • Duration:
    2 years / 4 sem
  • Teaching languages:
    EN
  • Admissions:
    EU: 1 Feb 2024 – 28 Aug 2024

    Non-EU: 1 Feb 2024 – 30 Apr 2024
  • Fees:
    200€/ sem. (semester 1,2,3,4)
  • Format:
    Full-time programme (Part-time student status allowed)

Presentation

MADS provides high-level multidisciplinary training conducted by renowned research teams from Luxembourg and abroad. The course relies on theoretical and practical aspects, and also involves projects and workshops. MADS can be taken either as a two-year four-semester programme, or as a four-year part-time programme. The courses are given in person and presence in class is compulsory.  Part-time students share the same courses during the day as full-time students (no week-end and late courses are offered). 

How to find an answer to your questions?

  • Some eligibility criteria (diploma recognition, language certificates, etc.). You will find more information by clicking HERE
  • For specific administrative questions, please contact SEVE by clicking HERE.
  • Admission criteria for the MADS programme are described on the following webpage INFO
  • For recognition of prior experience, please click HERE
  • Information about student life and cost of living. You can find more information by clicking HERE

Scholarship

A scholarship is currently offered for this Master programme: the Guillaume Dupaix International Scholarship. For more information, please send your request to: scholarships.fstm@uni.lu

Strengths

  • Addressing fundamental and practical aspects of Data Science

The programme trains students in modern data management and processing techniques. It also provides the mathematical foundations upon which these techniques are built. As a result, students acquire not only a high-level education in current data science techniques but also sufficient scientific knowledge to adapt and further their training for future advancements in this field. Finally, the programme offers students a diverse overview of the applications of data science, spanning the fields of life sciences, actuarial sciences, and economics among others.

  • Variety of skills

The graduates acquire a broad spectrum of skills with cross-disciplinary applications: data mining, data cleaning and processing, data visualisation, statistical modelling, database management, workflow organisation, machine and deep learning.

News

  • Master in Data Science celebrates its first graduates

    Education
    Mathematics
    Learn more


Contact

For any question regarding the Master in Data Science, please send your request to

  • Y. Baraud

    Yannick Baraud

    FSTM
    Study Programme Director
    Mathematics
  • S.Marbehant

    Stéphanie Marbehant

    FSTM
    Study Programme Administrator
    Mathematics