MASTER IN COMPUTER SCIENCE

Responsables

Aims

Targeted students

Admission conditions

Fundamental prerequisites

Structure and organisation

Learning sites

Learning and research

School registration

Knowledge to be acquired

Professional skills to be acquired

General qualifications of the endorsement:

Analyze a need, identify or design and implement IT solutions based on design methods and mastery of the fundamental notions of computer science in the fields of software development and data management.
Exploit, in an efficient and effective manner, the knowledge and skills required to develop and implement IT solutions
Exploit, in an autonomous way, the state of the art of scientific computer knowledge in order to develop, improve or evaluate, the methods and tools involved in the design of solutions.
Communicate verbally and in writing in both English and French, to convey the results of a study and to prepare specifications and technical documentation.
Communicate and implement the results of a study in both English and French.
Lead and implement projects by fostering a team dynamic.
Conduct feasibility studies and develop IT solutions adapted to the problems of companies, taking into account their impact and the legal and financial contexts.
Create and implement projects by promoting team dynamics The course is designed to help students develop their skills and knowledge of the regulations and standards in force in the field of information technology.

Specific competences of the courses:

Reliability and security of IT (FSI) : Through technical and organisational means, optimise reliability and security in the context of the specification, production and operation of critical IT systems (applications and infrastructures).
Geography and Computer Graphics (GIG) : Implementing algorithms, tools and data structures from graphical computing, discrete geometry and geometric modelling for the visualisation and processing of spatial data.
Informatics and Discrete Mathematics (IMD)
Software and Data Engineering (IDL)
Artificial Intelligence and Machine Learning (AIL): Create or exploit innovative methods and algorithms in the field of machine learning, deep learning, automatic natural language processing, constraint-based problem modelling and solution, and knowledge representation and processing.
Data Science and Engineering (SID)

Internships and supervised projects

Internship policy Internships will be possible in M1 and compulsory internships of five to six months in companies or laboratories are planned in M2. The search for an internship is the responsibility of the students. We help them by activating our contacts in companies. We collect several dozen internship proposals which are then distributed to students. Every year we organise meetings with companies (especially partners) so that they can present their activities, their jobs and the subjects they offer. The search for an internship is facilitated by three forums organised by the components of Aix-Marseille Universität; (Polytech Marseille's ICT forum in October, the Employment/Internship forum organised by the SUIO of Aix-Marseille Universität in November and the MIAGE's Employment/Internship forum organised in Aix-en-Provence in January)

Place of the projects By nature, the pedagogy in master level computer science teachings is strongly envisaged through a project approach. This is currently the case insofar as a significant part of the teaching provided in the form of practical work corresponds to the carrying out of projects, which are organised, depending on the nature of the UE, by groups of students of varying size.

The semesters 3 and 4 of the Master's programme are divided into three parts, each of which is divided into two parts.

The third semester of the professional courses includes a two-month application project. Students work in groups of five or six on important topics. The objective is to put into practice the notions seen in the courses and to reinforce the methodological aspects (understanding of needs, planning, design, realisation, testing, documentation, deployment).

The project will be carried out by a group of five or six students.

Offsite teaching

Seeked careers

Continuing studies

Partners

Typical course list

Support for your labor market integration

Support for your studies abroad

TO BE SELECTED ON MASTER 1

SUBMIT AN APPLICATION

Discilpine : Science and Technology
Departement : Faculty of Science
Credits : 120
Web site

Registration fees

Initial training fees : 250 €
Fee rate : plus d'informations...
Differentiated fee rate for non-EU students : plus d'informations...
Continuing education fees : plus d'informations...

ORIENTATION CONTACT

SUIO d'Aix-Marseille University service

Study year or Typical courses	FAP	CP
Reliability and IT Security (FSI) course
Computer graphics and applied geometry
Program Computer Science and Discrete Mathematics (IMD, in French)
Software Development Engineering	info	info
Parcours Intelligence artificielle et apprentissage automatique (IAAA)
Parcours Science et ingénierie des données (SID)

COURSE CATALOGUE 2024 - 2025

MASTER IN COMPUTER SCIENCE

Responsables

Aims

Targeted students

Admission conditions

Fundamental prerequisites

Fundamental prerequisites

Structure and organisation

Learning sites

Learning and research

School registration

Knowledge to be acquired

Professional skills to be acquired

Internships and supervised projects

Offsite teaching

Seeked careers

Continuing studies

Partners

Typical course list

Support for your labor market integration

Support for your studies abroad