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.

Master Artificial Intelligence and Robotics

Faculty of Information and Communication Technology

Master Artificial Intelligence and Robotics

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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.

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.

Teaching Methods

  • Development of software technologies for the design and realisation of complex systems in Robotics and other, by intervening in part of the chain of constitutions of the systems: perception, analysis, reasoning, decision and action.
  • Deployment of intelligent robotic systems, capable of interaction and cooperation (with Men, the environment or other robots) and endowed with adaptive or autonomous capacities.
  • Design of an R&D strategy, from identifying a problem to prototyping its solution by analysing a research bibliography, and presentation of the work.
  • Solve computer problems with AI when conventional solutions are unsuitable.

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)

Mode & Fees

Mode:
Part-time: 2 1/2 years
Fees:
Local students (part time)
fees:Rs 125 000 x 4 semester
International Students(Part-time)
SADC countries: 125 000 x 4 semester

Delivery Plan & Intake: Deadline Extended to 26 February 2021 : Start of Course April 2021

How
to Apply

In addition to a completed application form:
– A letter of motivation
– Academic Results
– Copy of your CV detailing your work history if any

 

Please find:

Flyers Master IAR

Application Form

Location

Available at the Rose-Hill campus.

Any further inquiries?

Please contact on the following email: [email protected]