Master's degree
Artificial Intelligence
Artificial Intelligence programme — Bac+5 level
Build intelligent systems, not just use them.
- Python
- PyTorch
- scikit-learn
- Docker
2 years20 h/week
7 800 000 GNF per yearView curriculum
IHETC School of Artificial Intelligence
Data Science programme — Bac+5 level
Turn data into defensible decisions.
- Entry level
- Master's degree
- Award
- Master's degree
- Duration
- 2 years
- Actual work
- 20 h/week
- Pace
- Compatible with a job
- Tuition
- 7 200 000 GNF per year
A decision-oriented Bac+5-level programme: collect, clean, model and above all communicate. The programme values statistical rigour as much as the ability to convince management with imperfect data, a common situation across the continent.
Learning objectives
- Build a reliable, reproducible data pipeline
- Apply the right statistical methods and know their limits
- Design dashboards that answer an actual management question
- Communicate quantitative findings to a non-technical leadership team
Curriculum
1200 hours · 120 credits
Year 1560 hours
Advanced applied statistics
240 hours · 24 credits
Estimation, hypothesis tests, multiple regression, time series, design of experiments
Data engineering
240 hours · 24 credits
Extract-transform-load, data quality, warehouses, orchestration, large-scale data
Professional English and methodology
80 hours · 8 credits
Technical reading, written and oral reporting
Year 2640 hours
Modelling and interpretability
200 hours · 20 credits
Supervised and unsupervised models, feature selection, explainability, robustness
Visualisation and reporting
160 hours · 16 credits
Graphical grammar, dashboards, data storytelling, communicating uncertainty
Data governance, protection and sovereignty
120 hours · 12 credits
Lifecycle, anonymisation, compliance, hosting, reversibility
Compute cost and technical trade-offs
100 hours · 10 credits
Sizing, optimisation, choosing between local and cloud processing
Commissioned applied project and dissertation
60 hours · 6 credits
A real problem set by an organisation, a usable deliverable, publicly defended
Real prerequisite
What follows is assumed and will not be explained again. If most of it is foreign to you, this is not the right entry point — better to know now than at the final assessment.
Python, SQL queries and descriptive statistics. Building a pivot table is not enough: you need to know what a standard deviation is.
Entry requirements
- Bac+3 level in computer science, mathematics, economics or quantitative management
- Foundations in programming and statistics
- Career project interview
Career outcomes
- Data scientist
- Data analyst
- Data engineer
- Statistical research officer
- Performance management consultant
Skills acquired
- Python
- SQL
- pandas
- Power BI
- Statistics
- ETL
Artificial Intelligence