IMT Lille Douai has developed a range of programs provided in English.
International students get the opportunity to study semesters totally taught in English.
To apply to this exchange semester, we require that you hold at least a Bachelor of Science or equivalent (B.Eng., Licence scientifique, etc.)
Besides, you need to have a B2 level in English. And you must provide a document attesting your English language knowledge (TOEIC, TOEFL, IELTS…)
We advise that you start as early as possible, it may take time to gather all supporting documents necessary to your application.
The application deadline is June 15th, 2021 for next intake in Fall 2021.
Step 1: The Admission Team reviews your application documents together with the submitted application form. If your application is selected for further consideration, we will notify you by e-mail and give instructions on the next step to take.
Step 2: You will be interviewed by the International department and the programme coordinator (videoconference).
Step 3: Following the interview process, a feedback will be given to all students. If you are admitted to IMT Lille Douai, congratulations and welcome!
- UV Project (available for the other time slots as well)
- MOOC Pharo (available for the other time slots as well)
- UV MSI: Information System Management, on the Lille Campus
The topic of the project and the details related to the deliverables will be discussed and agreed upon between the professor and the student.
The course contents are structured around 7 weeks, however all the contents are available for a period of one year from the opening of the MOOC. So you can follow the different learning paths at your own pace. Each week is composed of several sequences containing a 6 to 10 minutes video lecture, quizzes and application exercises or programming demonstrations through video tutorials.
The course is offered in French and English. The videos, in French or English, are subtitled in French, English, and also in Japanese and Spanish. Quizzes and explanation texts are available in French or English. The course materials (pdf format) are provided in English only.
Prerequisites: A first experience in object-oriented programming.
UV MSI Objectives:
This UV consists of 3 parts:
- Information System (IS) and project management: the performance of the company’s business lines through governance (Cobit, Itil), management via business processes, and quality of service indicators. The specificities of the IS Project Management are also covered.
- Enterprise Resource Planning: theoretical training on SAP, the most popular software suite that includes: an Integrated Management Software (ERP), a Customer Relationship Management (CRM), a Product Management (PLM), a Logistics part (SCM) and a Supplier Relationship Management (SRM).
- Business Intelligence (BI): in the context of today’s challenges related to Big Data, it should allow decision makers to be proactive, that is to say, to anticipate actions to achieve according to their knowledge. Applications may concern commerce – electronic or not – but also banks, medical research or the detection of fraud.
These courses are delivered by professionals and will rely on case study analysis and projects using SAS / R software. A review of the latest technology will also be realized by the students.
Prerequisites: Basics of algorithmics, statistics, artificial intelligence
- UV SAI: Industrial Automation Systems
- UV AS: Automotive System
UV Industrial Automation Systems (SAI)
Objectives: This UV trains engineers in the fields of automation and control of industrial systems, with a wide variety of possible applications. This US covers both the discrete and continuous aspect of industrial systems control.
Prerequisites: Signal theory, control of linear systems (PID), Matlab
List of courses:
- Control of Discrete Systems (32h). Lectures -12h and Lab Sessions -20h
- Control of Continuous Systems (44h). Lectures -24h, Tutorial -4h and Lab Sessions -16h
UV Automative Systems (AS)
Objectives: This UV presents the technologies and the methods allowing to implement algorithms related to the control and the signal processing in an embedded context, particularly in the field of devices linked to mobile systems (vehicles) or to operational parts in an industrial setting (robots). It is organized into two subjects:
- Industrial Digital Systems Architecture: this course treats the notion of microcontrollers
- Embedded Systems for Control: this course details the mechanisms of the operating systems used to create real-time multiprocess applications for control and signal processing.
This UV is organized as a project in which students must solve a concrete problem (eg control of an operative part, integrating the right choice of sensors, their implementation and the development of corresponding algorithms on target systems: PCs, Beagle Bone Black or RaspBerry). The courses are mainly in the form of tutorials.
Prerequisites: UV SAI
List of courses:
- Industrial Digital Systems Architecture (40h). Lectures -4h and Tutorial -36h
- Embedded Systems for Control (40h). Lectures -4h and Tutorial -36h
- Project (16h)
3 possibilities :
- UV LOGIST: Logistics and Intelligent Transport Systems
- UV B5G: Beyond 5G
- UV Advanced Control Techniques
UV Logistics and Intelligent Transport Systems
Objectives: Well-designed transport and logistics systems are fundamental to efficient individual mobility, commerce, and industry. With ever-increasing volumes of traffic and goods, we face a huge challenge: How to guarantee sustainability of logistic and transport systems?
This UV focuses on the integration of Information Technologies and Optimization into transport and logistics systems, with the aim of increasing efficiency, safety, mobility and customer satisfaction while reducing environmental impact. You will use computer-based optimization models and simulation tools for transportation, warehousing and inventory, and logistics network design. You will acquire engineering and managerial skills to understand, develop and control future transport and logistics systems. Finally, you will be able to find solutions for logistics networks that minimize costs and deliver top customer service.
Prerequisites: Introduction to Operations Research
List of courses:
- Logistics and supply chain management (52h). Lectures -28h, Lab Sessions -12h and Project -12h
- Intelligent transportation systems (36h). Lectures -24h and Lab Sessions -12h
- Simulation of transportation systems (10h). Lectures -5h and Lab Sessions -5h
UV Beyond 5G
Generations 2-5 of cellular networks saw communication between humans, followed by humans making requests to machines, then machines which communicated with each other…
The next step, key in many areas ranging from autonomous cars to big data and including artificial intelligence, is the implementation of intelligent networks for a fluid and natural communication between men and machines. This step is far from being technically feasible because of the many challenges (energy, speed, mobility, latency, reliability) and systems are becoming more complex. Many mathematical tools have made it possible in recent years to better understand systems and to find operational solutions, for example large random matrices, stochastic geometry, optimization methods, etc. Currently, machine learning is playing an increasingly important role because the problems are difficult to model. The objective of this UV is to identify the major challenges not solved by 5G and, depending on the knowledge and desires of each individual, to tackle the understanding and solving of a specific problem.
Prerequisites: probabilities/statistics, linear algebra
UV Advanced Control Techniques
This UV discusses the control of real dynamic processes presenting nonlinearities and potentially subject to failures. Tools and methods are introduced in order to respond to these issues.
Prerequisites: UV SAI
List of courses:
- Modélisation hybride (40h). Lectures -10h and Lab Sessions -30h
- Technique de diagnostic et de pronostic (24h). Lectures -12h and Lab Sessions -12h
- Diagnostic centralisé (8h). Lectures -8h.
- UV FOTONS: Optical Functions for Telecommunications
- UV AADA: Advanced Machine Learning and Data Analysis
- UV LARM1: Software and Architecture for Mobile Robotics 1
UV Optical Functions for Telecommunications
Objectives: The primary objective of this module is to teach the different elements of an optical link. This is broken down as follows:
- characterization of the different constituent elements
- modeling their operation
- measuring the characteristics of the sources and of the detectors
- determining the performance limits of the fibers (single mode, multimode propagation, dispersion …)
- defining the characteristic quantities of the passive fiber components (Bragg gratings) and active components (laser, optical amplifier)
- evaluating the effects of linear and nonlinear optical phenomena and their impact on data transmission by optical fibers in terms of bit rate and signal quality (signal-to-noise ratio, bit error rate).
UV Advanced Machine Learning and Data Analysis
Objectives: This UV covers techniques for data science by applying them directly to real-life and/or industrial data. It is an introduction to concepts in data science such as classification/ clustering/ pattern recognition and tools for big data.
UV Software and Architecture for Mobile Robotics 1
Objectives: This module aims to teach the fundamental concepts in computing to answer the specific challenges of mobile robotics through the realization of concrete mini-projects. The evaluation of the module is carried out around a competition using the concepts and techniques seen in the mini-projects.