Master's Degree in Data Science and Artificial Intelligence (MDSIA)
The Master's Degree in Data Science and Artificial Intelligence (MDSIA) at the ESMT is a leading programme designed to train experts capable of turning data into drivers of performance, innovation and value creation for public and private organisations.
- Format
- On campus
Overview
About this programme
The Master's Degree in Data Science and Artificial Intelligence (MDSIA) at the ESMT is a leading programme designed to train experts capable of turning data into drivers of performance, innovation and value creation for public and private organisations.
Objectives
The Master's Degree in Data Science and Artificial Intelligence aims to train experts able to master the entire data life cycle and to develop intelligent solutions that meet the challenges of modern organisations. On completion of the programme, graduates will be able to:
- Draw on mathematical, statistical and computing tools to solve complex problems;
- Design and implement high-performance data architectures;
- Develop advanced Machine Learning and Artificial Intelligence models;
- Harness Big Data technologies for the processing of massive data sets;
- Build and deploy data processing and analysis pipelines;
- Develop intelligent applications tailored to business needs;
- Integrate AI solutions into a wide range of professional environments;
- Lead innovative projects based on data and intelligent technologies.
Complementary expertise in Software Architecture and Development Through the Expert Master's Degree in Software Architecture and Development (M-EADL), students also acquire advanced skills in:
- Software architecture;
- The development of complex applications;
- Distributed systems;
- Cloud architectures;
- Cybersecurity;
- Modern software engineering;
- DevOps methodologies;
- Emerging digital technologies.
This dual expertise enables graduates to master both data-related issues and the development of robust, scalable software solutions.
Join the class
Admission requirements
Prerequisites
For Master's Year 1 Open to candidates holding a Bachelor's Degree (BAC+3) in one of the following fields:
- Mathematics;
- Telecoms Networks;
- Digital Systems;
- Computer Networks and Systems;
- Information Systems;
- Audiovisual Systems;
- Or any qualification recognised as equivalent.
For Master's Year 2 Open to candidates holding a Master's Year 1 (BAC+4) in the following fields:
- Telecoms Networks;
- Digital Systems;
- Computer Networks and Systems;
- Information Systems;
- Audiovisual Systems;
- Or any qualification recognised as equivalent.
Procedures and requirements
Candidates are selected by a panel in two stages: Application review The panel examines:
- Academic degrees and qualifications;
- The content of the initial training;
- The results obtained;
- As well as any professional experience.
Motivation interview Shortlisted candidates attend an interview assessing:
- Their academic background;
- Their career plan;
- Their motivations;
- Their ability to thrive in Data Science and Artificial Intelligence careers.
Documents required Candidates must put together an application file including:
- A photocopy of their identity document;
- Two (02) passport photographs;
- The academic transcripts for years L1, L2 and L3
- An application fee of 10,000 F CFA.
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