The computer science developers and designers of tomorrow face two major challenges:
increasingly complex computer science systems
increasingly varied areas of application
In order to meet these challenges, future diploma holders should:
master real computer science technologies but also keep up with their constant progress
work as part of multidisciplinary teams that take into account non-technical issues
This master 60 aims at the in-depth understanding of concepts and the acquisition of thinking and abstraction skills. This theoretical approach is supplemented by the application of concepts which takes an important place in the training. The program therefore includes many projects and works.
Except for exceptions specified in the detailed program, all the courses of the program are given in English, the command of this language being essential in the field of data processing. This offers French-speaking students the opportunity to practice English intensively during their training.
On successful completion of this programme, each student is able to :
- Networking;
- Programming languages;
- Software engineering;
- Artificial intelligence .
2.2.Model a problem and design one or more technical solutions in line with the specifications note.
2.3.Evaluate and classify solutions in light of all the criteria included in the specifications note: efficiency, feasibility, quality, ergonomics and environmental security.
2.4.Implement and test the chosen solution.
2.5.Come up with recommendations to improve the operational nature of the solution.
3.2. Collaborate on a work schedule, deadlines and roles
3.3. Work in a multidisciplinary environment with peers holding different points of view; manage any resulting disagreement or conflicts
3.4. Make team decisions and assume the consequences of these decisions (whether they are about technical solutions or the division of labour to complete a project)
4.2. Present your arguments and adapt to the language of your interlocutors: technicians, colleagues, clients, superiors
4.3. Communicate through graphics and diagrams: interpret a diagram, present project results, structure information
4.4. Read and analyse different technical documents (rules, plans, specification notes)
4.5. Draft documents that take into account contextual requirements and social conventions
4.6. Make a convincing oral presentation using modern communication techniques
5.2. Find solutions that go beyond strictly technical issues by considering sustainable development and the socio-economic ethics of a project
5.3. Demonstrate critical awareness of a technical solution in order to verify its robustness and minimize the risks that may occur during implementation
5.4. Evaluate oneself and independently develop necessary skills to remain knowledgeable in the field