The programme will provide students with a strong methodological foundation in data analysis, processing and security, which they will be able to apply in a variety of fields, including the social sciences, engineering, marketing, finance, insurance and life sciences…
Students will acquire the knowledge and develop the skills needed to:
- become data analysis experts
- Data Analysis (DA) (range of algorithms and statistical methods, for data mining, learning and visualisation of large datasets, electronics, mechanical production, automation and robotics) or cybersecurity experts
- Cybersecurity (CS) (cryptography, hardware, software and computer system security, privacy, introduction to information theory)
- communicate efficiently
- analyse complex problems
- collaborate on research projects.
On successful completion of this programme, each student is able to :
1. Master an extensive body of knowledge in data science (AD discipline) or data security (CS discipline), enabling them to solve problems in their discipline.
1.1. Data structures and algorithms for data analysis.
1.2. Learning theories, data mining and visualisation of large-scale data.
1.3. Statistical inference, modelling and statistical computing.
1.4. Industrial and entrepreneurial aspects of data science. Students majoring in information technology will specialise in one option.
1.5 Software, hardware and cryptographic aspects of data security..
1.6 Computer systems, including distributed computing, embedded computing, networks and security (optional courses).
1.7 Digital methods and optimisation, including constraint programming, operational research, identification and applied mathematics (optional courses).
2. Organise and complete the development of a data security and operating system to meet the generally complex needs of a customer.
2.1. Analyse the problem to be solved or the functional requirements to be met and formulate the corresponding specifications.
2.2. Format and model a problem and design one or more original technical solutions to meet the specifications.
2.3 Evaluate and classify solutions in light of all the criteria included in the product specifications: efficiency, feasibility, quality, ergonomics, security and environmental and social sustainability.
2.4 Implement, test and validate the chosen solution and interpret the results.
2.5. Make recommendations to improve the operational nature of the solution.
3. Organise and complete a research project to tackle new challenges linked to the use and security of data using a new methodology or in a new environment.
3.1 Research and summarise current knowledge in the relevant field.
3.3 Produce a summary report that thoroughly describes the methodology and explains the potential for theoretical and/or technical innovation resulting from this research work.
3.4 Think disruptively and creatively, open to plurality.
4. Contribute as part of a team to the management of a data exploitation and security project and see it through to completion, taking into account the objectives, allocated resources and constraints involved.
4.1. Frame and explain the objectives of a project (including performance indicators), taking into account the issues and constraints (resources, budget, deadlines, standards, regulations, particularly environmental regulations, etc.) that characterise the project environment.
4.2. Make a collective commitment to a work plan, a timetable and the roles to be played.
4.3. Operate in a multi/inter/transdisciplinary environment with individuals who hold different points of view, identify the contributions and limits of each discipline, dialogue on the same project.
4.4. Take decisions as part of a team when choices have to be made: whether on technical solutions or on the organisation of work to bring the project to a successful conclusion.
5. Communicate effectively orally and in writing with a view to successfully completing the projects entrusted to him/her in his/her working environment (particularly in English).
5.1 Clearly identify the needs of the customer or user: ask questions, listen and understand all aspects of their request, not just the technical aspects.
5.2. Argue and convince by adapting to the language of the people you are dealing with: technicians, colleagues, customers, superiors, specialists from other disciplines or general public.
5.3. Communicate graphically and schematically; interpret a diagram, present the results of work, structure information.
5.4. Read, analyse and use technical documents (diagrams, manuals, specifications, etc.).
5.5. Draft written documents, taking account of contextual requirements and social conventions in the field.
5.6. Give a convincing oral presentation using modern communication techniques.
6. Rigorously mobilise their scientific and technical skills and their critical sense to analyse complex situations by adopting a systemic and transdisciplinary approach, and to adapt their technical responses to the current and future challenges of the socio-economic-ecological transition, thus actively contributing to the transformation of society.
6.1. Acquire a knowledge base on the socio-ecological issues and use multi-criteria tools to evaluate the sustainability of a technology, in quantitative and/or qualitative terms.
6.2. Define, specify and analyse a problem in all its complexity, taking into account its various dimensions (social, ethical, environmental, etc.), scales (time, place) and uncertainty.
6.3. Identify, propose and activate engineering levers that can contribute to sustainable development and transition (eco-design, robustness, circularity, energy efficiency, etc.).
6.4. Demonstrate critical awareness of a technical solution to verify its robustness and minimise the risks that may occur during implementation, be aware of its limitations, and take a personal stand on ethical, environmental and societal issues.
6.5. Evaluate oneself and independently develop necessary skills to remain knowledgeable in the field.