Master of Data Science

Based on a multidisciplinary approach, the Master of 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.

PRESENTATION Degree: Master of Data Science Duration: 2 year full-time programme / 4 semesters (120 ECTS) or 4 year part-time programme / 8 semesters (120 ECTS)  Language: English

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

STUDY AND CAREER OPPORTUNITIES

• Data scientists in all institutions and companies, including public sector and higher education institutions, banks, industries, etc.
• Doctoral Programme in Mathematics and Applications at the University of Luxembourg

ADMISSION REQUIREMENTS (20 PLACES)

• Bachelor or equivalent with at least 180 ECTS in mathematics, physics, engineering or information technology
• Language: level B2 in English

APPLICATION

• EU students: February - July
• Non-EU students: February - April

Any email concerning the Master of Data Science must imperatively and exclusively be sent to the address mads@uni.lu 

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N°811017.