The main objective of the AIR Master is to create a culture of interdisciplinarity in order to promote research and innovation using AI and Robotics in order to serve the society of tomorrow.
Possible fields of application are: Health, Education, Energy, Environment, Maritime / road surveillance etc.
Flyer and course organization:
- Presentation flyer (english)
- Flyer de présentation (français)
- Course Structure (english)
- Structure des cours (français)
Faculty of Information and Communication Technology
Course Overview
The main objective of the AIR Master is to create a culture of interdisciplinarity in order to promote research and innovation using AI and Robotics in order to serve the society of tomorrow.
Possible fields of application are: Health, Education, Energy, Environment, Maritime / road surveillance etc.
Flyer and course organization:
Career Prospects
Professional objectives of this Master are to establish highly skilled professionals who will be able to make strategic decisions for the implementation of innovative projects within their company by using Artificial Intelligence (AI) and/or Robotics. The programme should allow graduates to lead projects involving the application of Artificial Intelligence / Robotics within the company. It should build their capacities in order to enable them to develop software tools using advanced AI algorithms and apply them to robotics as well as other fields.
Course Structure
Semestre 1
- Programming Languages for Artificial Intelligence
- Mathematics for Artificial Intelligence
- Mathematics of Physical Systems
- Signal Processing
- Embedded Programming
- Innovation-Entrepreneurship
- Research methodology
- General Methods of Artificial Intelligence
- Networks and Security
- Project
Semestre 2
- Machine Learning
- Internet of Things, Web / Mobile
- Evolutionary / Bio-inspired Algorithms
- Digital Imaging / Image Processing
- Automatic Systems Control
- Industrial Robotics
- Perception & Mobile Robotics
- Project and Quality Management
- Communication & Scientific Publication
- Project
Semestre 3
- Multi Agent / Distributed AI systems
- Neural Networks and Deep Learning
- Big Data et Data mining
- Advanced Tools for Artificial Intelligence & Robotics
- Automatic Systems Control
- Drones et Applications
- Sensors, Data Fusion, Localisation
- Methodology and Organisation of Conferences
Semestre 4
Length 4-5 months
Internship in a company or research laboratory
- Possibility of an internship in University of Limoges / University of Nice Sophia Antipolis / University of Réunion (Modalities to be defined)
- Possibility of an internship in a company in France (Modalities to be defined)
Location
Available at the Rose-Hill Campus and Bel-Air Research Lab
Any further inquiries?
Please contact on the following email: [email protected]