Studyportals
Master On Campus

Data Science

University of Luxembourg

24 months
Duration
400 EUR/year
400 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

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

Overview

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 Data Science programme from University of Luxembourg 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

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

Programme Structure

At the end of the programme, students will be able to :
  • Master statistical methods, understand the underlying assumptions, correctly interpret results and adapt methods to new contexts
  • Effectively apply the relevant tools for the management of different database structures for data pre-processing and collection
  • Analyse complex problems from other scientific and technological fields and plan strategies for their resolution
  • Demonstrate a broad understanding of the fundamental and specialised fields of information technology
  • Explore and extract knowledge from large and/or complex information bases
  • Construct mathematical and computer models for complex systems
  • Optimise static/dynamic multi-objective and multi-stress problems
  • Address related knowledge domains and recognize interconnections
  • Communicate information accurately and effectively to an audience of experts and non-experts

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

More details
  • EU students: March - July
  • Non-EU students: March - April

Language

English

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Bachelor or equivalent with at least 180 ECTS in mathematics, physics, engineering or information technology
  • Language: level B2 in English (candidates who have done their studies in English are exempt from the certificate) 

Tuition Fee

To alway see correct tuition fees
  • International

    400 EUR/year
    Tuition Fee
    Based on the tuition of 200 EUR per semester during 24 months.
  • EU/EEA

    400 EUR/year
    Tuition Fee
    Based on the tuition of 200 EUR per semester during 24 months.

Registration fees: 200 € / Semester

Living costs for Luxembourg

1212 - 2069 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Our partners

Data Science
-
University of Luxembourg

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