Overview of the Academic Data Science programs in Belgium by Bart Hamers

Bart Hamers

In this article, I try to make an overview of the academic programs on data science currently given in Belgium.

I wasn’t very selective in my choice as data science is a very broad domain. All educational tracks will have components of statistics, machine learning, artificial intelligence or other related domains. Upon you to decide which program best fits your needs and interests.

In this overview my main focus was on the master-after-master programs. But some normal master programs were also added to the list, as they specialize in data science related field.

These programs typically take place over one or two academic year and are open to anybody with the necessary prerequisites.

I tried to be exhaustive, but might have missed some. Please use the comment box at the end of the list to communicate updates.



University of Brussels

Master of Science in de ingenieurswetenschappen: computerwetenschappen

More info can be found here.


University of Antwerp

Master in computer science with a specialization in  data science: profile Artificiële Intelligentie

More info can be found here.

University of Gent

Master of Science in Marketing Analysis

This 9-month full-time program in predictive analytics (from October to July) is taught 100 % in English. Students will receive classes by world-renowned experts in their field. Data-mining techniques are introduced in the application domain of analytical Customer Relationship Management (CRM)/Marketing. The main emphasis is on classification techniques (binary as well as multi-class): starting with the classical statistical techniques (e.g. logistic regression) over decision trees (including random forests) to artificial neural networks. Sufficient time is also devoted to the modeling process as such (Knowledge Discovery in Databases including the data pre-processing step) as well as checking (predictive) model quality, e.g. AUC on a test sample.

More info can be found here.

Marketing Engineering

Marketing Engineering is an elective part of the two-year master program of Business Engineering at Ghent University. It offers five in-depth courses about analytical Customer Relationship Management (CRM)/Business Intelligence topics in English covering data-mining techniques.

More info can be found here.

Master of Science in Statistical Data Analysis

The Master of Statistical Data Analysis is a one-year advanced master program, but it can be competed in 2 to 4 years as a part student. The program offers training in modern statistical methodology and data analysis from a wide variety of fields, including biology, bio-informatics, economy and marketing, environmental and life sciences, engineering, mathematics and physics, psychology and social sciences.

More info can be found here.

University of Leuven (KUL)

Master of Artificial Intelligence

The understanding of the principles of intelligence, the development of artificial intelligence and its many applications in different areas requires a multi-disciplinary approach. The Master of Artificial Intelligence programme is internationally and interdisciplinary oriented. It aims at educating students from a wide variety of different backgrounds. A basic introductory part of the programme consists of fundamentals of artificial

intelligence and a broadening course that the student selects from either cognitive science, philosophy of mind and artificial intelligence or privacy and big data.

Within the programme students have the choice between three options:

More info can be found here.

Master of Financial and Actuarial Engineering

The Master of Financial and Actuarial Engineering programme provides students with up-to-date, sound and advanced financial, actuarial and statistical skills. It is an intensive, advanced, one-year programme for university graduates interested in a career in risk management, financial and/or actuarial engineering within financial institutions. The discipline focuses on the application of quantitative methods to problems involving risk or uncertainty. You will gain an understanding of current and future problems and solutions in insurance and banking and be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques.

More info can be found here.

Master of Statistics

MSc in Statistics, an interdisciplinary programme whose teaching is grounded in internationally-recognised research. Choose from

among a number of approaches: biometrics, social behavioural and educational statistics, business statistics, industrial statistics, general statistical methodology, or an all-round statistics profile.

More info can be found here.

Master of Bioinformatics

This interdisciplinary two-year programme focuses on acquiring

  • basic background knowledge in diverse disciplines belonging   to the field of bioinformatics, including statistics, molecular biology and computer science
  • expert knowledge in the field of bioinformatics
  • programming skills
  • engineering skills

More info can be found here.


University of Leuven (UCL Louvain-La-Neuve)

Master in Statistics

The Master in Statistics will enable you to become acquainted with the state-of-the art of statistical science and methodology. The skills and statistical competences you will acquire are highly appreciated in professional environments. The structure of the master program into orientations, finalités and options fits well to the wide variety of domains in which statistics play a vital role, ranging from medical sciences (pharmacy, public health, etc.), over human sciences (economics, psychology, etc.), to natural sciences (chemistry, biology, physics, etc.). In order to ensure tight connections with professional life in all these domains, our team of lecturers is completed with a number of statistical consultants.

More info can be found here.


University of Liege

Master in Statistics

The common courses provide the essential notions that underlie all statisticians’ activities : linear models, multivariate analysis, discrete date, non-parametric statistics, the Bayesian approach, data mining and statistics software.

The master’s professional focus offers an introduction to a variety of applied disciplines in the field of statistics (biostatistics, genetic statistics, experimental plans, databases…).

More info can be found here.


Solvay Business School

Master in Quantitative Finance

The Advanced Master in Quantitative Finance offers prospective students a rich curriculum combining finance, statistics, econometrics, programming and mathematics. This Master guarantees a full coverage of financial disciplines, such as asset and derivative pricing, numerical methods and programming skills.

More info can be found here.


Vlerick Business School

Executive master class creating business value with big data.

Obtaining maximum value from Big Data projects requires multidisciplinary knowledge in:

  • Business to comprehend the business problems and identify business opportunities that can be tackled with Big Data
  • Analytical to skilfully apply the Big Data models that create the most value
  • IT/Database to understand the IT requirements related to Big Data projects
  • Management to view process as a whole with a focus on change management and people

This Executive Master Class provides participants with the necessary skills to successfully manage this multidisciplinary competencies and to create value with Big Data in their organization.

More info can be found here.


Transnational University Limburg – Hasselt – Maastricht

Artificial Intelligence

The programme is organised under the Department of Knowledge Engineering of Maastricht University’s Faculty of Humanities and Sciences. Researchers in the department are developing intelligent systems for a wide range of applications including patient diagnosis, image recognition, traditional games like chess, interactive computer games, information retrieval and data mining.

Artificial Intelligence is a two-year master’s programme taught entirely in English.

More info can be found here.

Master of Statistics

Hasselt University’s Master of statistics with specializations: Biostatistics, Bioinformatics and Epidemiology & Public Health Methodology, keeps abreast of such evolutions. The master programme combines a solid study of principles of applied and biostatistics with up-to-date information on topics such as clinical trials, public health, longitudinal data, survival analysis, genetics, survey methodology… The specialization in Bioinformatics makes it possible to keep an even closer pace with the more specific professional needs and skills required due to the development of novel experimental techniques in molecular biology and genetics.

Hasselt University’s Master of statistics acquired accreditation from the prestigious Royal Statistical Society.

More info can be found here.


Other courses interesting for a data scientist.

  • Entrepreneurship

More info can be found here.


Short Training Sessions (Academically)


The Flames network organizes trainings for researcher. Check the very extensive training program.

More info can be found here.


Centre for permanent education (University of Gent, faculty of sciences)

Permanente vorming “Multilevel Analysis for Grouped and Longitudinal Data”

More info can be found here.

  • Special Program: Big Data  (Already started in 2015.)
    • More info can be found here.

Data Innovation Summit – Datascience made in Belgium


Statistics about  the Summit (5/3/2015):

  • 12 hour Live streaming of the Summit
  • 6 cameras, 3 camera teams
  • 7 journalists
  • 59 Speakers,
  • 1 Deputy Prime Minister
  • 1 Rector
  • 22 CEO
  • 10 Professors
  • 15 Start-ups
  • 333 Participants
  • 22 sponsors
  • 1 time keeper
  • main exhibition area
  • vast networking area
  • 1 VIP area
  • 6 main tracks


  1. The Data Innovation Ecosystem
  2. The Enterprise Business Cases
  3. The Innovation Facilitators
  4. The University Challenge
  5. The Startup Sessions
  6. The Open Ignite Sessions

Confirmed speakers:

Kris Peeters | Vincent Blondel |   Philippe Van Impe |Hans Constandt | Toon Vanagt | Damien Bourgeois | Steven Noels | Elena Tsiporkova | Geert Verstraeten | Jan Sonck | Els Descheemaeker | Steven Beeckman | Laurent Fayet | Julie Coyette | Guillaume Gorge | Rik Van Bruggen | Wim Van Leuven | Jonathan Duplicy | Dries Benoit | Erik Mannens |Roald Sieberath | Thibaut Claes | Bart Hamers | Wannes Meert | Dieter Devlaminck | Andrea Dal Pozzolo | David Martens | Daniele Marinazzo | Renaud Lambiotte | Daniel Berckmans | Omar Mohout | Filip Maertens | Kristof Mertens | Mark Turcksin | Daan Gerits | Wannes Rosiers | Eric Charles | Katya Vladislavleva | Erik Laurijssen | Mehdi El Fadil | Kris Peeters | Henk De Metsenaere | Jonas Tundo | Istvan Hajnal | Eric Lecoutre |  Cain Ransbottyn | Sebastien Leempoel | Sam Rédelé | Antoon Dierick | Zbigniew ‘Zibi’ Paszkiewicz | Jochen François | Matthias Vallaey | Tijmen Weddepohl | Frank Vanden Berghen | Ferdinand Casier |

Companies presenting:

Axa euroclear_0 Agoria

sas-logo Keyrus

abl artsen zonder grenzen AXA Belga datainnovation Essent  proximus PwC_fl_c Sign2pay  startups.be swan insight yazzoom Agoria ARHS-Data Arrow-Group2 Bigdata.be Big-Industries-stamp-logo Business Insight Colruyt_logo  datalayer Dataminded_Logo_transparant_96px_0 datylon Deloitte-logo DLA Piper esperity Essent_Logo_NL  evolved-analytics finaxys Graph  iMinds_logo_CMYK Infofarm Informatica-logo Innoviris KBC Startit logo_businessdecision  Logo_Vlaanderen logo-sirris mathworks  microsoft microstrategy Neo4j 1 NG-DATA-logo ontoforce opinum 1 opinum pépite porphyrio predicube proximus_icon Python Predictions sentiance StartUps.be tangent works tribalytics-logo


More info:

Sponsors of the Data Innovation Summit – Brussels

This event is organized by

Brussels Data Science Community

We love doing data for good

Structural Summit Partners

Axa  Agoria  Euroclear

Academic Partners

ucl_logo KUL ULB  Ugent   ULG   UMONS   UNamur   Universiteit Antwerpen   vub_0

Summit Sponsors

sas-logo Keyrus


Business Insight   logo_businessdecisionBig-Industries-stamp-logo  Arrow-Group2    finaxys  datalayer   Infofarm   Keyrus   mathworks microstrategy   neo4j   pépite    sentianceDeloitte-logoRIAInformatica-logo Dataminded_Logo_transparant_96px_0

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