2023-2024 / Master

Of Science (MSc) in Data Science and Engineering

120 crédits

Cycle view

  • Bloc
  • Organisation
  • Théorie
  • Pratique
  • Autres
  • Crédits
If one or several of the mandatory courses have already been credited when entering the Master of Data science program, they can be replaced by a corresponding amount of credits chosen among the elective courses.

Compulsory Courses

B1
10Cr
B2
35Cr
CodeDétailsBlocOrganisationThéoriePratiqueAutresCrédits
DATS0001-1Foundations of data science (english language) - [60h Projet] B1Q130-[+]5
PROJ0021-1Data science project (english language) - [120h Projet]
Corequisite
INFO0902-1
Structures des données et algorithmes
B1Q25-[+]5
DROI1357-1European law, (big) data and artificial intelligence applications seminar (english language) B2Q124--5
GEST3162-1Principles of management (english language) - [25h Projet] B2Q130-[+]5
ATFE9009-1Master thesis (english language) - [750h Projet] B2TA--[+]25
[...] Students who have already acquired the skills and knowledge of GEST3162 (or equivalent) will replace it by a course of their choice of 5 ECTS5

Elective courses

B1
50Cr
B2
25Cr

Single focus

B1
30Cr

Professional focus in data science

B1
30Cr
CodeDétailsBlocOrganisationThéoriePratiqueAutresCrédits
ELEN0062-1Introduction to machine learning (english language) - [40h Projet]
Corequisite
INFO8006-1
Introduction to artificial intelligence
B1Q1305[+]5
INFO8010-1Deep learning (english language) - [60h Projet] B1Q230-[+]5
INFO9014-1Knowledge representation and reasoning (english language) - [45h Projet] B1Q22420[+]5
INFO9016-1Advanced Databases (english language) - [20h Projet]
Corequisite
INFO0009-2
Bases de données (organisation générale)
B1Q22420[+]5
MATH0461-2Introduction to numerical optimization (english language) - [25h Projet] B1Q13020[+]5
MATH2021-1High-dimensional statistics (english language) - [30h Projet] B1Q13015[+]5

In agreement with the Jury, choose a total of 20 credits for Block 1 and 25 credits for Block 2 in the following list, among those that have not already been credited before.

B1
20Cr
B2
25Cr
CodeDétailsBlocOrganisationThéoriePratiqueAutresCrédits
Data Science foundation courses
The following courses (INFO0009-2, INFO8006-2 and INFO0902-1) are corequisite to some compulsory courses of the master program. They must be taken as a priority, unless they were already taken as part of the bachelor of science in engineering or bachelelor of computer science, or unless the corresponding knowledge and skills have been acquired previously.
INFO0009-2Database (general organisation) - [25h Projet] B1Q22626[+]5
INFO8006-1Introduction to artificial intelligence (english language) - [45h Projet] B1Q12520[+]5
INFO0902-1Data structures and algorithms - [40h Projet] B1Q22620[+]5
ELEN0016-2Computer vision (english language) - [50h Projet] -Q13010[+]5
ELEN0060-2Information and coding theory (english language) - [30h Projet] -Q23015[+]5
INFO0016-1Introduction to the theory of computation (english language) -Q12626-5
INFO0027-2Programming techniques (english language) -Q25
Algorithmics - [40h Projet]   1414[+] 
Software patterns - [30h Projet]   1010[+] 
INFO0054-1Functional programming - [20h Projet] -Q12424[+]5
INFO0939-1High performance scientific computing (english language) - [20h Projet] -Q13015[+]5
INFO0948-2Introduction to intelligent robotics (english language) - [80h Projet] -Q2304[+]5
INFO2049-1Web and Text Analytics (english language) -Q130--5
INFO8003-1Optimal decision making for complex problems (english language) - [45h Projet] -Q22510[+]5
INFO8004-1Advanced Machine learning (english language) - [20h Projet] -Q225-[+]5
INFO9012-1Parallel Programming (english language) -Q22525-5
INFO9015-1Logic for Computer Science (english language) -Q12420-5
MATH0462-1Discrete optimization (english language) - [25h Projet] -Q23020[+]5
MATH2022-1Monte Carlo methods in statistics (english language) - [40h Projet] -Q22412[+]5
MQGE0002-3Computational Optimization (english language) -Q230--5
BIOL0021-1Biology of the systems - [10h Monitored workshops]
Corequisite
OCEA0089-1
Introduction to marine ecosystems modelling
-Q110-[+]2
OCEA0089-1Introduction to marine ecosystems modelling (english language)
Corequisite
BIOL0021-1
Biologie des systèmes
-Q11515-3
GEOG0057-1Spatial analysis -Q23030-5
GEOG0059-1Infrastructures of spatial data -Q13030-5
GEST0832-4Financial Markets -Q24015-5
FINA0063-1Advanced Statistical Methods in Finance (english language) -Q130--5
GEST3032-1eBusiness and eCommerce (english language) -Q130--5
GBIO0002-1Genetics and bioinformatics (english language) - [15h Projet] -Q13015[+]5
GBIO0009-1Topics in bioinformatics (english language) - [35h Projet] -Q12515[+]5
GBIO0030-1Computational approaches to statistical generics (english language) - [35h Projet] -Q22515[+]5
SPAT0263-1Machine Learning in Space Sciences (english language) -Q13015-5
SPAT0264-1Machine Learning for Gravitational-wave Astronomy (english language) -Q21020-5
INFO9023-1Machine Learning Systems Design (english language)
Corequisite
ELEN0062-1
Introduction to machine learning
-Q2---5

Optional company internships

Notice : the course units ASTG9008-1 and ASTG9009-1 are mutually exclusive
ASTG9008-1Internship (coupled with Master thesis) (english language) - [80d Field work] B2TA--[+]5
ASTG9009-1Internship (independent of Master thesis) - [40d Field work] B2TA--[+]10
[...] With the agreement of the President of the Jury, students may also choose up to 15 credits in the application area of their Master thesis in other programmes of the university -
[...] With the agreement of the President of the Jury, students may also choose 5 credits in any other programme of the university or from the UNIC course catalog-

Additional credits Master in Data Science Engineering (120 ECTS)

CodeDétailsBlocOrganisationThéoriePratiqueAutresCrédits
Students who are admitted to this master without having acquired equivalent courses must add them to the programme of their first year.

1. Basic courses of a bachelor degree of science in engineering, including courses equivalent to :
MATH0002-4Mathematical analysis 1, Part 1 B0Q12222-5
MATH0013-1Algebra B0Q12626-4
MATH0062-1Elements of probability calculus - [25h Projet] B0Q21510[+]3
MATH0487-2Elements of statistics - [25h Projet] B0Q11510[+]3
MATH0488-1Elements of stochastic processes - [30h Projet] B0Q21010[+]2
INFO2009-2Introduction to computer science B0Q12414-4
MATH0006-3Introduction to numerical analysis (english language) B0Q12020-4
MECA0003-2Rational Mechanics B0Q12030-4
SYST0002-2Introduction to signals and systems - [15h Projet] B0Q12626[+]5

2.  Additional courses in computer science :
INFO0902-1Data structures and algorithms - [40h Projet] B0Q22620[+]5
INFO0009-2Database (general organisation) - [25h Projet] B0Q22626[+]5
INFO8006-1Introduction to artificial intelligence (english language) - [45h Projet] B0Q12520[+]5

3. A level B2 in English