Master in Data Science
Esch-sur-Alzette, Luxembourg
DURATION
4 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
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TUITION FEES
EUR 200 / per semester
STUDY FORMAT
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
Data scientists in all institutions and companies, including public sector and higher education institutions, banks, industries, etc.
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.