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Tronc communData structures and algorithms for data analysisLINFO2172 DatabasesLINMA2472 Algorithms in data science
EN
q1 30h+22.5h 5 credits > French-friendlyTeacher(s):
> Jean-Charles Delvenne (coord.)
> Gautier Krings (compensates Vincent Blondel)
Jean-Charles Delvenne (coord.)
LDATA2010 Information visualisationMachine learningEN
q2 30h+30h 5 credits > French-friendlyTeacher(s):
> Thibault Helleputte (compensates Pierre Dupont)
Thibault Helleputte (compensates Pierre Dupont)
EN
q1 30h+30h 5 credits > French-friendlyTeacher(s):
> John Lee
> Michel Verleysen
John Lee
LINFO2275 Data mining & decision makingLINFO2364 Mining Patterns in DataStatisticsLSTAT2120 Linear modelsLSTAT2130 Introduction to Bayesian statistics -
Professional FocusContent:L'étudiant·e sélectionne 30 crédits parmi:LINFO2399 Industrial seminar in computer science
EN
q2 30h 3 credits > French-friendlyTeacher(s):
> Yves Deville
> Bernard Geubelle
Yves Deville
EN
q1 30h 3 credits > French-friendlyTeacher(s):
> Sébastien Jodogne
> Siegfried Nijssen
Sébastien Jodogne
LINMA2120 Applied mathematics seminarEN
q1+q2 30h 3 credits > French-friendlyTeacher(s):
> Pierre-Antoine Absil
> Gianluca Bianchin
> Frédéric Crevecoeur (coord.)
> Jean-Charles Delvenne
> François Glineur
> Julien Hendrickx
> Laurent Jacques
> Raphaël Jungers
> Estelle Massart (compensates Anthony Papavasiliou)
> Geovani Nunes Grapiglia
Pierre-Antoine Absil
LSTAT2390 Applied statistics workshopsEN
q1+q2 15h 3 credits > French-friendlyTeacher(s):
> Catherine Legrand
> Christian Ritter
Catherine Legrand
LDATI2990 Master thesis in data analyticsThe 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.
LEPL2020 Professional integration workLes modules du cours LEPL2020 sont organisés sur les deux blocs annuels du master. Il est fortement recommandé à l’étudiant.e de les suivre dès le bloc annuel 1, mais il.elle ne pourra inscrire le cours que dans son programme de bloc annuel 2.
EN
q1+q2 30h+15h 2 credits > French-friendlyTeacher(s):
> Myriam Banaï
> Francesco Contino (coord.)
> Delphine Ducarme
> Jean-Pierre Raskin
Myriam Banaï
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Options
L'étudiant·e complète son programme pour arriver à min. 90 crédits disciplinaires (dispensés dans les Masters EPL ou sigle STAT, y compris le TFE) en ce non compris les éventuels compléments pris par certains étudiants qui manqueraient de base. Il n'est pas obligatoire de valider une option.
Dans la rubrique "Options et cours au choix en connaissances socioéconomiques", l'étudiant·e valide une des deux options ou choisit obligatoirement au minimum 3 crédits parmi les cours au choix ou les cours de l’option en enjeux de l’entreprise.-
Majors in Data Science: Information technology
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Major in computer systemsContent:Compulsory courses :LINFO2145 Cloud ComputingElective coursesLINFO2347 Computer system securityLINFO2143 Concurrent systems : models and analysisLINFO2349 Networking and security seminar
EN
q1 30h 3 credits > French-friendlyTeacher(s):
> Etienne Riviere
> Ramin Sadre
Etienne Riviere
LINFO2146 Mobile and Embedded ComputingLINFO2355 Multicore programming -
Major in numerical methods and optimizationContent:Compulsory coursesLINMA2471 Optimization models and methods II
EN
q1 30h+22.5h 5 credits > French-friendlyTeacher(s):
> François Glineur
> Geovani Nunes Grapiglia
François Glineur
LINMA2380 Matrix computationsEN
q1 30h+22.5h 5 credits > French-friendlyTeacher(s):
> Jean-Charles Delvenne (compensates Raphaël Jungers)
Jean-Charles Delvenne (compensates Raphaël Jungers)
One course betweenLINFO2266 Advanced Algorithms for OptimizationLINMA2450 Combinatorial optimizationEN
q1 30h+22.5h 5 credits > French-friendlyTeacher(s):
> Julien Hendrickx
> Geovani Nunes Grapiglia
Julien Hendrickx
Elective coursesLINMA2470 Stochastic modellingEN
q2 30h+22.5h 5 credits > French-friendlyTeacher(s):
> Philippe Chevalier
> Mehdi Madani (compensates Philippe Chevalier)
Philippe Chevalier
LINMA2491 Operational ResearchEN
q2 30h+22.5h 5 credits > French-friendlyTeacher(s):
> Mehdi Madani (compensates Anthony Papavasiliou)
Mehdi Madani (compensates Anthony Papavasiliou)
LINMA2875 System IdentificationLINFO2365 Constraint programmingLINMA2460 Optimization : Nonlinear programmingEN
q2 30h+22.5h 5 credits > French-friendlyTeacher(s):
> Geovani Nunes Grapiglia
Geovani Nunes Grapiglia
LINMA2120 Applied mathematics seminarEN
q1+q2 30h 3 credits > French-friendlyTeacher(s):
> Pierre-Antoine Absil
> Gianluca Bianchin
> Frédéric Crevecoeur (coord.)
> Jean-Charles Delvenne
> François Glineur
> Julien Hendrickx
> Laurent Jacques
> Raphaël Jungers
> Estelle Massart (compensates Anthony Papavasiliou)
> Geovani Nunes Grapiglia
Pierre-Antoine Absil
LINMA2360 Project in mathematical engineeringEN
q1+q2 30h+22.5h 5 credits > French-friendlyTeacher(s):
> Pierre-Antoine Absil
> Laurent Jacques (compensates Anthony Papavasiliou)
Pierre-Antoine Absil
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Major in Cryptography and information security
As with the Master’s degree engineering programmes in electricity, computer sciences and applied mathematics, this major provides students with the knowledge of fundamental algorithms and mathematics in order to better understand information security as well as the design and implementation of solutions for problems related to electronic circuits and information systems.
Content:Elective coursesIn order to validate this option INFO and MAP students have to take at least 20 credits and the ELEC, DATE and DATI students have to take at least 15 credits among:
LELEC2760 Secure electronic circuits and systemsEN
q2 30h+30h 5 credits > French-friendlyTeacher(s):
> François-Xavier Standaert
François-Xavier Standaert
LINFO2144 Secured systems engineeringLINFO2347 Computer system securityLINGI2348 Information theory and codingEN
q2 30h+15h 5 credits > French-friendlyTeacher(s):
> Jérôme Louveaux
> Benoît Macq
> Olivier Pereira
Jérôme Louveaux
LMAT2440 Number theoryFR
q1 30h+15h 5 credits > English-friendlyTeacher(s):
> Pierre-Emmanuel Caprace
> Olivier Pereira
Pierre-Emmanuel Caprace
LMAT2450 CryptographyLELEC2770 Privacy Enhancing technologyEN
q1 30h+30h 5 credits > French-friendlyTeacher(s):
> Olivier Pereira
> François-Xavier Standaert
Olivier Pereira
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Cours au choix disciplinairesContent:StatisticsLSTAT2200 Survey and SamplingLSTAT2380 Statistical consultingLSTAT2390 Applied statistics workshops
EN
q1+q2 15h 3 credits > French-friendlyTeacher(s):
> Catherine Legrand
> Christian Ritter
Catherine Legrand
Machine learning, vision and artificial intelligenceLELEC2885 Image processing and computer visionEN
q1 30h+30h 5 credits > French-friendlyTeacher(s):
> Christophe De Vleeschouwer (coord.)
> Laurent Jacques
Christophe De Vleeschouwer (coord.)
LGBIO2010 BioinformaticsEN
q1 30h+30h 5 credits > French-friendlyTeacher(s):
> Vincent Branders (compensates Pierre Dupont)
Vincent Branders (compensates Pierre Dupont)
LINFO2263 Computational LinguisticsEN
q1 30h+15h 5 credits > French-friendlyTeacher(s):
> Anaïs Tack (compensates Pierre Dupont)
Anaïs Tack (compensates Pierre Dupont)
LINGI2348 Information theory and codingEN
q2 30h+15h 5 credits > French-friendlyTeacher(s):
> Jérôme Louveaux
> Benoît Macq
> Olivier Pereira
Jérôme Louveaux
EN
q1 30h 3 credits > French-friendlyTeacher(s):
> Sébastien Jodogne
> Siegfried Nijssen
Sébastien Jodogne
Data structures and algorithms for data analysisLELEC2770 Privacy Enhancing technologyEN
q1 30h+30h 5 credits > French-friendlyTeacher(s):
> Olivier Pereira
> François-Xavier Standaert
Olivier Pereira
LINFO1361 Artificial intelligence
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Options et cours au choix en connaissances socio-économiques
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Business risks and opportunitiesContent:LEPL2211 Business issues introductionLEPL2212 Financial performance indicatorsLEPL2214 Law, Regulation and Legal Context
FR
q1 30h+5h 4 creditsTeacher(s):
> Vincent Cassiers
> Werner Derycke
Vincent Cassiers
One course between
From 3 to 5credit(s)LEPL2210 Ethics and ICTEN
q2 30h 3 credits > French-friendlyTeacher(s):
> Axel Gosseries
> Olivier Pereira
Axel Gosseries
Cours en marketingMGEST1108 MarketingMLSMM2136 Trends in Digital MarketingMLSMM2134 e-Consumer BehaviorCours en Sourcing and ProcurementLLSMS2036 Supply Chain ProcurementEN
q1 30h 5 creditsTeacher(s):
> Constantin Blome
> Antony Paulraj (compensates Per Joakim Agrell)
Constantin Blome
LLSMS2038 Procurement Organisation and ScopeLLSMS2037 Sourcing StrategyAlternative to the major in business risks and opportunities for computer science studentsComputer science students who have already taken courses in this field while pursuing their Bachelor's degree may choose between 16-20 credits from the courses offered in the management minor for computer sciences.
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Major in small and medium sized business creation
Commune à la plupart des masters de l'EPL, cette option a pour objectif de familiariser l'étudiant·e avec les spécificités de l'entreprenariat et de la création d’entreprise afin de développer chez lui les aptitudes, connaissances et outils nécessaires à la création d'entreprise.
Cette option rassemble des étudiants de différentes facultés en équipes interdisciplinaires afin de créer un projet entrepreneurial. La formation interdisciplinaire en création d’entreprise (CPME) est une option qui s’étend sur 2 ans et s’intègre dans plus de 30 Masters de 9 facultés/écoles de l’UCLouvain. Le choix de l’option CPME implique la réalisation d’un mémoire interfacultaire (en équipe) portant sur un projet de création d’entreprise. L’accès à cette option, ainsi qu'à chacun des cours, est limité aux étudiant·es sélectionnés sur dossier. Toutes les informations sur www.uclouvain.be/cpme.
L'étudiant.e qui choisit de valider cette option doit sélectionner au minimum 20 crédits et au maximum 25 crédits. Cette option n'est pas accessible en anglais et ne peut être prise simultanément avec l'option « Enjeux de l'entreprise ».Content:Required courses for the major in small and medium sized businessesLCPME2001 Théorie de l'entrepreneuriatLCPME2003 Plan d'affaires et étapes-clefs de la création d'entrepriseLes séances du cours LCPME2003 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.
Prerequisite CPME coursesStudent who have not taken management courses during their previous studies must enroll in LCPME2021.
LCPME2021 Financer son projet -
Cours au choix en connaissances socio-économiquesContent:LFSA2995 Company Internship
FR
q1+q2 30h 10 creditsTeacher(s):
> Dimitri Lederer
> Jean-Pierre Raskin
Dimitri Lederer
LFSA2212 Innovation classesEN
q1 30h+15h 5 credits > French-friendlyTeacher(s):
> Benoît Macq
> Jean-Pierre Raskin
> Benoît Raucent
Benoît Macq
LSTAT2380 Statistical consultingLSTAT2390 Applied statistics workshopsEN
q1+q2 15h 3 credits > French-friendlyTeacher(s):
> Catherine Legrand
> Christian Ritter
Catherine Legrand
LINMA2360 Project in mathematical engineeringEN
q1+q2 30h+22.5h 5 credits > French-friendlyTeacher(s):
> Pierre-Antoine Absil
> Laurent Jacques (compensates Anthony Papavasiliou)
Pierre-Antoine Absil
LINMA2120 Applied mathematics seminarEN
q1+q2 30h 5 credits > French-friendlyTeacher(s):
> Pierre-Antoine Absil
> Gianluca Bianchin
> Frédéric Crevecoeur (coord.)
> Jean-Charles Delvenne
> François Glineur
> Julien Hendrickx
> Laurent Jacques
> Raphaël Jungers
> Estelle Massart (compensates Anthony Papavasiliou)
> Geovani Nunes Grapiglia
Pierre-Antoine Absil
LACTU2170 STOCHASTIC FINANCELACTU2030 LIFE INSURANCELLSMS2034 Supply Chain PlanningLINFO2399 Industrial seminar in computer scienceEN
q2 30h 3 credits > French-friendlyTeacher(s):
> Yves Deville
> Bernard Geubelle
Yves Deville
LINFO2402 Open Source Project
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Others elective courses
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Others elective coursesContent:The elective courses being recommended and available for Master students in Data Sciences Engineering are listed here above, in the majors and other lists of elective courses. However, a student can further suggest other courses that would be relevant for his.her personal curriculum, pending that this is compliant with the rules for setting up a personal Master program.
LanguagesStudents may select from any language course offered at the ILV. Special attention is placed on the following seminars in professional development:
LALLE2500 Professional development seminar GermanLALLE2501 Professional development seminar-GermanES
q1 30h 3 creditsTeacher(s):
> Rocio Cuberos Vicente
> Paula Lorente Fernandez (coord.)
Rocio Cuberos Vicente
ES
q1 30h 5 creditsTeacher(s):
> Rocio Cuberos Vicente
> Paula Lorente Fernandez (coord.)
Rocio Cuberos Vicente
NL
q1 or q2 30h 3 creditsTeacher(s):
> Marie-Laurence Lambrecht (coord.)
Marie-Laurence Lambrecht (coord.)
NL
q1 or q2 30h 3 creditsTeacher(s):
> Dag Houdmont
> Marie-Laurence Lambrecht (coord.)
Dag Houdmont
Group dynamicsLEPL2351 Group dynamics - Q1FR
q1 15h+30h 3 creditsTeacher(s):
> Delphine Ducarme
> Claude Oestges (coord.)
> Thomas Pardoen
> Benoît Raucent
Delphine Ducarme
LEPL2352 Group dynamics - Q2FR
q2 15h+30h 3 creditsTeacher(s):
> Delphine Ducarme
> Claude Oestges (coord.)
> Thomas Pardoen
> Benoît Raucent
Delphine Ducarme
Autres UEs hors-EPLL'étudiant·e peut choisir maximum 8 ects de cours hors EPL considérés comme non-disciplinaires par la commission de diplôme
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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, students must take supplementary classes chosen by the faculty to satisfy course prerequisites.
Mathématique - Analyse et algèbre linéaireL'étudiant choisit un des modules suivants :
Module 1LINFO1111 AnalysisFR
q1 45h+37.5h 7 creditsTeacher(s):
> Pierre-Antoine Absil
> François Glineur
Pierre-Antoine Absil
LINFO1112 AlgebraFR
q2 30h+30h 5 creditsTeacher(s):
> Christophe Craeye
> Enrico Vitale
Christophe Craeye
Module 2LINGE1114 Mathematics I: analysisProbabilités et statistiqueL'étudiant choisit un des modules suivants :
Module 1LBIR1315 Probability and statistics IILBIR1212 Probabilities and statistics (I)Module 2LEPL1108 Discrete mathematics and probabilityFR
q1 30h+30h 5 creditsTeacher(s):
> Jean-Charles Delvenne
> Olivier Pereira
Jean-Charles Delvenne
LEPL1109 Statistics and data sciencesFR
q1 30h+30h 5 creditsTeacher(s):
> Donatien Hainaut
> Laurent Jacques
Donatien Hainaut
Programmation et informatiqueLINFO1101 Introduction to programmingFR
q1 30h+30h 5 creditsTeacher(s):
> Kim Mens
> Siegfried Nijssen
> Charles Pecheur
Kim Mens
LINFO1104 Programming language conceptsLEPL1402 Informatics 2FR
q1 30h+30h 5 creditsTeacher(s):
> Sébastien Jodogne
> Ramin Sadre
> Pierre Schaus
Sébastien Jodogne
Un cours parmi :EN
q1 30h+22.5h 5 credits > French-friendlyTeacher(s):
> Jean-Charles Delvenne
> Jean-Charles Delvenne (compensates Vincent Blondel)
Jean-Charles Delvenne
LINFO1121 Algorithms and data structuresSystèmes informatiques :LINFO1341 Computer networksLINFO1252 Informatic SystemsMéthodes numériques et optimisation :LINMA1702 Optimization models and methods IUn cours parmi :LEPL1104 Numerical methodsLINFO1113 Numerical algorithmicFR
q2 30h+30h 6 creditsTeacher(s):
> Estelle Massart
> Loïc Quertenmont
Estelle Massart
Other EU to be determined with the Study AdvisorDepending 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.