Objectives of Programme's Learning Outcomes

• Manage large-scale software development projects.
• Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
• Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
• Demonstrate independence and their ability to work alone or in teams.
• Apply scientific methodology.
• Critically reflect on the impact of IT in general, and on the contribution to projects.
• Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.
• Skill 2: Have acquired professional skills in relation to the objective defining the degree.
• Enhance work experience or personal achievements to strengthen computer science skills.
• Manage large-scale software development projects.
• Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
• Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
• Demonstrate independence and their ability to work alone or in teams.
• Manage research, development and innovation.
• Understand unprecedented problems in computer science and its applications.
• Organise and lead a research, development or innovation project to completion.
• Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.
• Master communication techniques.
• Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
• Adapt their communication to a variety of audiences.
• Where possible, communicate in a foreign language.
• Develop and integrate a high degree of autonomy.
• Aquire new knowledge independently.
• Pursue further training and develop new skills independently.
• Develop and integrate a high degree of autonomy to evolve in new contexts.
• Apply scientific methodology.
• Critically reflect on the impact of IT in general, and on the contribution to projects.
• Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE

The master thesis is a first experience in scientific research work (or bibliographic, or didactic, according to the context). This work is done in a laboratory in a university, or in a private company and is corrdinated by a supervisor that proposes the subject, supervises and advises the student in his approach. In the case of an experimental subjet, the work encompases: bibliographic research on the subject, planning and realization of the experiments, analysis of the results, and writing of the report (50 to 100 pages maximum, without annexes). This report presents the results in the usual way in science (structured in introduction, goal, material and methods, results, discussion, conclusion, bibliograhy, annexes). A the end of this work, the student will develop a know-how in the various aspects of the scientific research (documentation, planning and realization of experiments, interpretation, restitution).

UE Content: description and pedagogical relevance

Depending on the subject and the laboratory where the work is done.

Prior Experience

A general knowledge in computer science, as well as a specialisation in the domain covered by the master thesis' subject is required. A successful completion of the "Reading and Scientific Writing" course (US-MC-INFO60-014-C, AA S-INFO-050)