Master's degree
Artificial Intelligence
Data Science programme — Bac+5 level
Turn data into defensible decisions.
- Python
- SQL
- pandas
- Power BI
2 years20 h/week
7 200 000 GNF per yearView curriculum
IHETC School of Artificial Intelligence
Artificial Intelligence programme — Bac+5 level
Build intelligent systems, not just use them.
- Entry level
- Master's degree
- Award
- Master's degree
- Duration
- 2 years
- Actual work
- 20 h/week
- Pace
- Full time
- Tuition
- 7 800 000 GNF per year
A Bac+5-level engineering programme focused on machine learning, deep learning and language models. The programme insists on deployment: a model nobody uses has no value. Projects rely on African datasets.
Learning objectives
- Turn a business problem into a machine learning problem
- Train, evaluate and diagnose supervised and unsupervised models
- Build applications on top of large language models
- Deploy and monitor a model in production over time
Curriculum
1200 hours · 120 credits
Year 1700 hours
Mathematics for AI
220 hours · 22 credits
Linear algebra, calculus, probability, optimisation, information theory
Machine learning
200 hours · 20 credits
Regression, classification, trees and forests, kernel methods, cross-validation, model selection
Deep learning
200 hours · 20 credits
Neural networks, backpropagation, convolutions, sequences, attention mechanisms, transformers
Scientific English and research methodology
80 hours · 8 credits
Reading papers, literature review, scientific writing and presentation
Year 2500 hours
Applied language models
200 hours · 20 credits
Fine-tuning, retrieval-augmented generation, evaluation, inference cost and economic trade-offs
Deployment and monitoring
140 hours · 14 credits
Industrialisation, inference services, drift monitoring, retraining, running costs
Ethics, bias and sovereignty
100 hours · 10 credits
Dataset bias, explainability, data protection, supplier dependency, the applicable framework
Applied research dissertation and sixteen-week placement
60 hours · 6 credits
Original work carried out with a laboratory or an organisation, 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.
Programming in Python and reading code written by someone else. Linear algebra and probability at Bac+3 level: they are not taught again.
Entry requirements
- Bac+3 level in computer science, applied mathematics or an equivalent field
- Solid Python programming foundations checked by an entry test
- Technical and motivation interview
Career outcomes
- Machine learning engineer
- Generative AI engineer
- Senior data scientist
- Artificial intelligence consultant
- AI project lead
Skills acquired
- Python
- PyTorch
- scikit-learn
- Docker
- MLOps
- RAG
Artificial Intelligence