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Specialized Master in data science, Big data
- academic year2023-2024
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Programme titleSpecialized Master in data science, Big data
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Programme mnemonicMS-BGDA
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Programme organised by
- Faculty of Sciences
- Brussels School of Engineering
- Solvay Brussels School of Economics and Management
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Degree typeAdvanced master
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Tier2nd cycle
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Field and branch of studySciences and technics/Sciences
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Schedule typeDaytime
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Languages of instructionenglish
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Theoretical programme duration1 year
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CampusPlaine/Solbosch
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Category / TopicSciences and technics - Sciences
- Jury PresidentThomas VERDEBOUT
- Jury SecretaryDavy PAINDAVEINE
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Contact telephone
Presentation
Details
General information
Degree typeAdvanced master
Theoretical programme duration1 year
Learning language(s)english
Schedule typeDaytime
CampusPlaine/Solbosch
Category(ies) - Topic(s)Sciences and technics - Sciences
Organising faculty(s) and university(ies)Contacts
Presentation
Programme objectives
You have already a master degree and good knowledges in computer sciences or in statistics and you are interested by their applications. Then the present master is a natural choice to improve your skills and become a specialist in massive data analysis. The program we propose here is fully taught in english and therefore opens to the international job market.
In particular, the objective of the master is to improve the following skills:
1) Perform a research project or an applied innovation in computer sciences or in statistics.
2) Design and implement applications based on artificial intelligence and learning techniques.
3) Clearly communicate to various types of audiences conclusions or results of a project in computer sciences, statistics or econometrics.
4) Be able to develop new skills by yourself.
5) Be able to be rigorous, independent, ethic, creative and aware of the impact of the results obtained for a company or for the society in general.
Teaching team and methods
Several faculties are involved in the master: the Faculty of Sciences, the Brussels School of Engineering and the Solvay Brussels School of Economics and Management from ULB and also partners for the VUB. This is clearly an asset since it reinforces the interdisciplinary aspect of the master which is supported by various important teams of researchers from the ULB and the VUB:
ECARES, Solvay Brussels School of Economics and Management.
IB2 (Interuniversity Institute of Bioinformatics in Brussels), ULB/VUB.
IRIDIA, Brussels School of Engineering.
LISA, Brussels School of Engineering.
Machine Learning Group, Faculty of Sciences.
Mathematical Statistics Group, Faculty of Sciences.
WIT, Brussels School of Engineering.
Access conditions
Programme
What's next ?
Prospects
The present master has been created to deepen your knowledge and understanding of emerging, state-of-the-art database technologies. Indeed, the intensive use of computers and the internet in the beginning of the present century has a clear impact on the way data have to be collected and treated. In many situations, practitioners have to deal with massive databases (« Big data »).
Data science finds its roots in many applications: genomics and high scale DNA sequencing generate tons of data at many different biological levels; the use of social networks, mobile phones, tablets generate data every single second; robots and industrial equipments are nowadays equipped with sensors that provide a huge amount of information and therefore huge databases. In economics and in finance, practitioners have to deal with real-time forecasts based on high-frequency data (production, trade, market data).
The master is a natural preparation for the following jobs: `data scientist", ``data manager », ``analytics manager » or simply ``statistician » or ``computer scientist » that are increasingly demanded by companies.
For further informations concerning the potential jobs related to the program, you can consult the following page: https://www.sfds.asso.fr/default.php?p=470