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Common core [44.0]
LDATE2990
Master thesis
The graduation project can be written and presented in French or English, in consultation with the supervisor. It may be accessible to exchange students by prior agreement between the supervisors and/or the two universities.
One course to choose from
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List of focuses
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Professional Focus : Data Analytics [30.0]
Content:
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Professional Focus : Cybersecurity [30.0]
Content:
EN
q2
30h+15h
5
credits
> French-friendly
Teacher(s):
> Jérôme Louveaux
> Benoît Macq
> Olivier Pereira
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Options
A minimum of 90 credits must be obtained in each discipline (taught in the EPL or STAT Masters, including the TFE), not including additional credits taken by students who do not have the minimum foundation requirements.
Choosing an option is not compulsory.
In the "Options and elective courses in socio-economic knowledge" section, the student validates one of the two options or must choose at least 6 credits from the courses in the option in business issues (maximum one innovation class may be chosen, maximum one course among those offered by the CPs may be taken into account in these 6 credits).-
Majors in data science
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Major in computer systems
Students wishing to validate this option must select a minimum of 16 credits among:
Content:
Compulsory courses :
Elective courses
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Major in numerical methods and optimisation
Students wishing to validate this option must select a minimum of 15 credits among:
Content:
Compulsory courses
One course between
Elective courses
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Elective technical courses
Content:
Statistics
EN
q1
22.5h+9.5h
4
credits
Machine learning, vision and artificial intelligence
EN
q1
30h+30h
5
credits
> French-friendly
Teacher(s):
> Christophe De Vleeschouwer
> Laurent Jacques
Data structures and algorithms for data analysis
FR
q2
30h+30h
5
credits
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Options and elective courses in socio-economic knowledge
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Major in Business risks and opportunities
Students whishing to validate this option must select a minimum of 15 credits among the courses offered (maximum one course among those offered by the CPs can be taken into account in these 15 credits).
This option cannot be taken simultaneously with the “Interdisciplinary training in entrepreneurship - INEO” option.
Content:
Cours spécifiques aux enjeux de l'entreprise
LFSA2995
Company Internship
This course cannot be chosen by GCE Masters students as part of the business issues option, as part of their compulsory courses.
LEPL1805
People management
This course cannot be chosen if it has already been validated in the bachelor's degree.
FR
q1
30h+0h
3
credits
LEPL2210
Ethics and ICT
This course cannot be chosen if the LLSMS2280 course has already been validated.
FR
q1
30h+0h
3
credits
LLSMS2280
Sustainability Transition and social change
[M]
Ce cours ne peut être choisi si le cours LEPL2210 a déjà été validé.
EN
q1
30h
5
credits
Innovation classe
Maximum one innovation class can be chosen.
Courses offered by the Program Commission
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Major in Interdisciplinary Program in Entrepreneurship - INEO
The aim of this option, which is common to most EPL masters' programmes, is to familiarise students with the specifics of entrepreneurship and business creation, equipping them with the skills, knowledge, and tools necessary for starting a business.
The interdisciplinary entrepreneurship training (INEO) is an option that spans two years and is integrated into over 30 Master's programmes across 9 faculties/schools at UCLouvain.
Choosing the INEO option requires completing an interfaculty dissertation (in teams) focused on a business creation project. Access to this option, as well as to each of its courses, is limited to students selected based on their application.
Full details are available at https://uclouvain.be/fr/etudier/ineo.
Students who choose this option must select a minimum of 20 credits and a maximum of 25 credits. This option is not available in English and cannot be taken simultaneously with the "Business Risks and Opportunity" option.
Content:
Cours obligatoires:
LINEO2003
Plan d'affaires et étapes-clefs de la création d'entreprise
Les séances du cours LINEO2003 sont réparties sur les deux blocs annuels du master. L'étudiant doit les suivre dès le bloc annuel 1, mais ne pourra inscrire le cours que dans son programme de bloc annuel 2.
Cours préalable:
Student who have not taken management courses during their previous studies must enroll in LINEO2021.
FR
q2
30h+15h
5
credits
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Elective course in socio-economic knowledge
Within the section “Options and elective courses in socio-economic knowledge”, students must either validate one of the two options or are required to select at least 6 ECTS credits from the courses offered within the “Major in Business risks and opportunities” (a maximum of one Innovation Class may be selected, and a maximum of one course offered by the CPs may be counted towards these 6 credits).
Content:
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Others elective courses
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Others elective courses
Content:
The elective courses recommended and available for students enrolled in the Master's in Data Science Engineering or Master's in Data Science programmes are listed above, in the options and other elective course lists. Students are also free to propose other courses from the EPL Master's programmes that are relevant to their personal background, provided that this complies with the rules for setting up the Master's programme. These courses must be approved by the selection panel.
Languages
Students may select from any language course offered at the ILV. Special attention is placed on the following seminars in professional development:
Group dynamics
FR
q1
15h+30h
3
credits
FR
q2
15h+30h
3
credits
Autres UEs hors-EPL
Students may choose a maximum of 8 credits from courses outside the EPL, which are considered non-disciplinary by the programme committee.
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Preparatory Module
(only for students who qualify for the course via complementary coursework)
To access this Master, students must have a good command of certain subjects. If this is not the case, in the first annual block of their Masters programme, students must take supplementary classes chosen by the faculty to satisfy course prerequisites.
Mathematics - Calculus and linear algebra
Students follow one of the following blocks:
Module 1
Module 2
Probability and statistics
Students follow one of the following blocks:
Module 1
FRq1 22.5h+22.5h 3 credits
Module 2
Programming and computer science
Students follow one of the following blocks:
FRq2 30h+30h 5 credits
Un cours parmi :
Computer systems
Students follow one of the following blocks:
Numerical methods and optimisation
Students follow one of the following blocks:
Un cours parmi :
FRq2 30h+30h 6 credits
Other EU to be determined with the Study Advisor
Depending on his / her previous academic background, the student (in consultation with the study advisor) can add other UEs in order to acquire the necessary prerequisites for the program.