Keystone logo
University of Luxembourg Faculty of Science, Technology and Medicine Master in Data Science
University of Luxembourg Faculty of Science, Technology and Medicine

Master in Data Science

Esch-sur-Alzette, Luxembourg

4 Semesters

English

Full time

Request application deadline *

Request earliest startdate

EUR 200 / per semester

On-Campus

* EU: February-July | Non-EU: February-April

Introduction

Based on a multidisciplinary approach, the Master in Data Science at the University of Luxembourg provides students with the necessary skills to solve complex problems with data in different contexts. Data scientists are trained as both mathematicians and computer scientists and their unique profile at the intersection of the two disciplines are highly sought.

Strengths

  • High-level training: courses are conducted by high-level research teams from Luxembourg and abroad
  • Multidisciplinary approach: joint contribution of the university's main research centres, including the departments of Mathematics, Computer Science, Physics and Materials Science, Life Sciences and Medicine as well as LCSB and SnT
  • Broad spectrum of skills: the programme covers data mining, data cleaning and processing, data visualization, statistical modeling, database management, workflow organization. It also addresses machine learning and deep learning techniques and their applications to life sciences, medicine and physics
  • Variety of pedagogical tools: mix of theoretical and practical courses, projects and workshops involving professionals from the industrial sector
  • International and multicultural environment: the University of Luxembourg offers the opportunity to meet students from all over the world.
  • Central place in Europe: offering free transport throughout the country and developed rail and air networks, Luxembourg provides easy access to the capital and the major European cities
  • Low study cost: only 200€ fee per semester

Admissions

Career Opportunities

Program Admission Requirements

Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.

About the School

Questions