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Erudia Media & Tech School · Professional Master's degree
Artificial Intelligence
The Master's trains artificial intelligence engineers and project managers who can turn a business need into a learning problem, build and govern the data, design, evaluate and deploy models, including for national languages and under computing and connectivity constraints, and ensure that they are operated safely, frugally and in line with the reference ethical and standards frameworks.
Official degree title (in French): Master Intelligence artificielle.
Learning outcomes
- Turn a business need into an artificial intelligence problem, write the specifications and manage the project through to go-live.
- Draw on the mathematical and statistical foundations of machine learning and deep learning to design models and check their validity.
- Build, prepare and govern training data in compliance with Law No. 2008-12 (Personal Data Protection Act), copyright and data sovereignty requirements.
- Develop applications in natural language processing, including for low-resource national languages, computer vision and generative artificial intelligence.
- Industrialise, deploy and monitor models frugally, on constrained infrastructure and in low-connectivity settings.
- Evaluate an artificial intelligence system for performance, fairness, robustness and explainability, and manage its risks.
- Set up artificial intelligence governance based on ISO/IEC 42001:2023 and ISO/IEC 23894:2023 and on the UNESCO Recommendation on the Ethics of Artificial Intelligence.
The programme
4 semesters. The first three are taught semesters; the fourth is devoted to the professional assignment and the dissertation.
Semester 1 · Year 1
- Mathematics for Artificial Intelligence
- Scientific Programming and Computing Environments
- Machine Learning
- Data Engineering and Governance
- Advanced Digital Skills
- Advanced Professional English - Level 1
Semester 2 · Year 1
- Deep Learning
- Natural Language Processing
- Computer Vision
- Scoping an Artificial Intelligence Project
- Applied Research Methodology
- Advanced Professional English - Level 2
Semester 3 · Year 2
- Generative Artificial Intelligence and Agents
- Industrialising and Frugally Deploying Models
- Ethics, Risks and Governance of Artificial Intelligence
- Artificial Intelligence Capstone Project
- Ethics, Social Responsibility and Accessibility
- Advanced Professional English - Level 3
- Scoping the Professional Assignment and Dissertation
Semester 4 · Year 2
- Internship and Professional Assignment I - Induction and Diagnosis
- Internship and Professional Assignment II - Carrying Out the Assignment
- Internship and Professional Assignment III - Results and Reporting
- Professional Dissertation and Defence
- Assignment and Dissertation Follow-up Seminar
- Leadership, Career Development and Entrepreneurship
Target careers
- Artificial intelligence engineer
- Machine learning engineer
- Data scientist
- Data engineer
- Data analyst
- Data governance manager
- Natural language processing engineer
- Model deployment and operations engineer (MLOps)
- AI systems quality and evaluation engineer
- Artificial intelligence project manager
- Artificial intelligence consultant
- Artificial intelligence research and development engineer
After several years' experience: head of an artificial intelligence or data science team, head of artificial intelligence governance in an organisation, artificial intelligence solutions architect, senior consultant to public administrations and funders, founder of an artificial intelligence services company.
Sectors
- Programming, consulting and IT services; data processing and hosting
- Telecommunications and digital services
- Banks, insurance companies, microfinance institutions and payment services
- Human health: healthcare facilities, public health programmes
- Research and development: universities, research institutes and laboratories
- Public administrations, local authorities and government agencies in charge of digital affairs
- Agriculture, fisheries, agri-food, energy and the environment
- Media, publishing and cultural industries
- Non-governmental organisations, funders and development agencies
- Digital start-ups and young companies
Admission
Who is it for?
- Working professionals holding a Bachelor's degree who wish to move into specialist or management roles: this is the main target group, for whom the online option and the in-job assignment were designed.
- Bachelor's graduates in a relevant field continuing their studies.
- Holders of a relevant maîtrise (four-year degree), eligible for entry into Year 2.
Prerequisites
Applicants are expected to master algorithms and programming in a general-purpose language, relational databases and undergraduate mathematics (linear algebra, calculus, probability), or to commit to acquiring them through the refresher course offered before semester 1. Reading technical documents in English is necessary.
| Route | Entry | Requirements |
|---|---|---|
| Holder of a relevant Bachelor's degree | Year 1 | Bachelor's degree in a relevant field, or a qualification accepted as exempt or equivalent; “Admission is not automatic. It is based on a test and/or a review of the application file.” |
| Holder of a maîtrise (four-year degree) | Year 2 | Maîtrise in a field relevant to the Master's; review of the application file. |
| Continuing education | Year 1 or 2 | Same degree requirements; professional application file and interview; online study option available. |
After a Bachelor's degree from ERUDIA or elsewhere
| Your Bachelor's degree | Access to the Master's |
|---|---|
| Professional Bachelor's degree in Web Application Development | Partial: additional courses in Year 1 |
| Professional Bachelor's degree in IT Project Management | Partial: additional courses in Year 1 |
| Professional Bachelor's degree in Network and Information Systems Administration and Security | On application, with a refresher course |
| Professional Bachelor's degree in Digital Project Management - Web Design and Development | On application, with a refresher course |
Short certificates drawn from this programme
To study part of the programme without taking the full degree:
- Machine Learning and Data Governance - Specialist Certificate, 20 weeks, 300,000 FCFA
- Generative AI and Model Deployment - Specialist Certificate, 20 weeks, 300,000 FCFA
- Preparing and Annotating Training Data - Professional Certificate, 4 weeks, 200,000 FCFA
- Applications Built on Large Language Models - Professional Certificate, 4 weeks, 200,000 FCFA
- Fairness, Robustness and Explainability of Models - Professional Certificate, 4 weeks, 200,000 FCFA
Tuition fees
| Year of study | Annual tuition |
|---|---|
| Master's, Year 1 | 799,900 FCFA |
| Master's, Year 2 | 899,900 FCFA |
Amount payable to confirm enrolment: 200,000 FCFA.
Application fee: 10,000 FCFA.