Data Science
A three-year Licence in data science, science des données, taught in French. Statistics meets computing across the full data pipeline, for the people who will turn West African data into decisions.
At a glance
Qualification
Licence Science des Données
Duration
3 years
Total credits
180 ECTS
Intake
September and January
Why study data science here
Where data is needed
Banks, telecoms and public services run on data.
Statistics meets computing
Programming, probability and databases, not theory alone.
An LMD diploma
A three-year Licence that opens onto a Master.
Built for the region
Framed around West African firms and institutions.
Course structure
Built on the LMD system, the Licence runs over six semesters and 180 ECTS credits. Year one is a common informatique foundation; you begin specialising in data science in the second year and fully through the third, which closes with an applied research project and an internship or professional project.
Year one
Shared foundation
Year one is the common informatique foundation shared across the field: algebra, discrete mathematics and analysis, algorithms and data structures, and a first course in programming and web development.
Module
Code
Credits
Semester 1
Algèbre & Géométrie
ALG 100
6
Logique Mathématique & Mathématiques Discrètes
LMD 100
6
Fonctions d’une Variable Réelle
FVR 100
4
Introduction à l’Informatique
INI 100
6
Méthodologie du Travail Universitaire
MET 100
2
Bureautique
BUR 100
3
Techniques d’Expression
TEE 100
3
Semester 2
Algèbre Linéaire
ALL 200
3
Probabilités & Statistiques
PRS 200
5
Calcul Différentiel & Intégral
CDI 200
4
Algorithmes & Structures de Données
ASD 200
6
Introduction à la Programmation Web
IPW 200
6
Gestion des Organisations - Entreprises
GEO 200
2
Leadership
LEA 200
2
Langue Vivante
LAV 200
2
Year two
Deepening
Year two builds the systems base and turns to data: Python for data analysis, databases, applied statistics, data preparation and visualisation, and object-oriented programming.
Module
Code
Credits
Semester 1
Concepts des Systèmes Informatiques
CSI 300
6
Systèmes d’Exploitation
SYE 300
6
Fondements de la Data Science
DST 300
6
Programmation pour Données
PYD 300
6
Algèbre Linéaire Appliquée
ALL 300
4
Langue Vivante
LAV 300
2
Semester 2
Bases de Données
BAD 400
6
Statistiques Appliquées
STA 400
6
Préparation & Visualisation des Données
DAT 400
4
Programmation Orientée Objet
POO 400
6
Calcul Différentiel & Intégral
CDI 400
4
Langue Vivante
LAV 400
2
Year three
Data Science specialisation
Year three covers big data and distributed processing, exploratory analysis and dashboards, predictive modelling and business intelligence, and closes with an applied research project and an internship or professional project.
Module
Code
Credits
Semester 1
Culture Informatique & Sécurité Numérique
CUI 500
6
Programmation Avancée
PRA 500
5
Big Data
BIG 500
5
Analyse & Visualisation des Données
DAT 500
5
Optimisation
OPT 500
3
Calcul Formel & Outils Analytiques
CAF 500
2
Langue Vivante
LAV 500
2
Éthique & Déontologie
ETD 500
1
Entrepreneuriat
ENT 500
2
Semester 2
Réseaux & Systèmes Distribués
REI 600
6
Modélisation Statistique & Prédictive
MOD 600
4
Business Intelligence & Aide à la Décision
BIA 600
4
Projet de Fin de Cycle
PFC 600
4
Analyse & Gestion de Projet Data
AGP 600
5
Recherche Documentaire & Insertion
RRD 600
2
Droit
DRO 600
3
Langue Vivante
LAV 600
2
Grading
A
16–20
80–100%
B
14–15.99
70–79.99%
C
12–13.99
60–69.99%
D
10–11.99
50–59.99%
F
Below 10
0–49%
Grade point average
Your cumulative GPA across the degree determines the class you graduate with.
First Class
3.50 – 4.00
Second Class Upper
2.50 – 3.49
Second Class Lower
1.50 – 2.49
Third Class
1.00 – 1.49
Fail
Below 1.00
Entry requirements
Entry requires the Baccalauréat or a recognised equivalent. Places are offered on your school-leaving results, and all teaching and assessment is in French.
What you’ll bring
Baccalauréat
Legalised copies
Birth certificate
Identity document
Passport photos
A personal laptop is required of every admitted student. Full details are on the how to apply page.
Fees
Assigned by the State (Affectés)
Per year
For students oriented to UNIABIDJAN through the national assignment process. Paid across the year in four instalments.
Private students (Non-affectés)
Per year
For students enrolling directly, without a State assignment. Paid across the year in four instalments.
Additional fees
Where it leads
Graduates are prepared for junior data roles across finance, telecom, marketing and the public sector: assistant data analyst, junior statistician, junior data engineer and BI assistant. The Licence is also a foundation for a Master in data science, statistics or artificial intelligence.
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