MASTER COMPUTER SCIENCE - M1/M2 Artificial Intelligence Track

  • Science and Technology
MASTER COMPUTER SCIENCE - M1/M2 Artificial Intelligence Track
Diplôme national de master contrôlé par l'État
Diplôme national de master contrôlé par l'État

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Résumé

Become an expert in the key methods and technologies of artificial intelligence. Read more

Objectifs

Initial training / Executive Education Program / Accessible for resumption of studies / Alternance (Apprenticeship, Contrat de professionnalisation)
Master
1-2 years
École Universitaire de Recherche Systèmes Numériques pour l’Humain
Campus SophiaTech - Site des Lucioles
French / English

Details

AI Track Highlights

  • Courses backed by leading research laboratories (Inria, CNRS) 
  • Interships, projects, work-study programme: close links with businesses in Sophia Antipolis, Europe’s largest technology park
  • Tailor your study program with minor courses, projects, career events, competitions, hackathons...

2027/28 Admission Process

Selective
Yes, Find out more in the Admission section

SophiaTech Campus


Study in the heart of Sophia Antipolis, Europe’s leading technology park.

Accéder aux sections de la fiche

Introduction

The Artificial Intelligence track within the Master’s in Computer Science offers specialised training focused on the key methods and technologies of AI.
  • It is based on modules in deep learning, natural language processing, modelling, optimisation and AI applications, as well as formal aspects such as the verification and validation of AI-based systems.
  • The specialisation also incorporates cross-disciplinary skills in software engineering, advanced algorithms and programming.
  • The programme benefits from strong links to research and explores applied topics such as video games and complex intelligent systems.

Pedagogy

The teaching approach is based on a balance between theoretical instruction and practical application.
  • Students work on supervised projects, case studies and group work, which encourages learning through the practical application of the methods studied.
  • A coherent progression between the first and second years of the Master’s programme enables students to gradually develop their expertise and autonomy.
  • Teaching draws on current tools and environments, with particular emphasis on methodological rigour, the analysis of results and the quality of software development.
  • Finally, work experience opportunities are integrated throughout the programme. For students on the initial training pathway, a compulsory internship is scheduled at the end of the programme. Work-study students undertake work placements throughout the entire Master’s programme.

Events and career support

Throughout the Master’s programme, our students are offered a programme of events designed to develop their knowledge and professional networks and to facilitate their entry into the job market: Carrefour des métiers de l'informatique, TECH Day, sector-specific conferences, practical workshops (CVs, cover letters, interviews), meetings with experts, job dating sessions, and more.
TECH Day - Leading figures in the tech sector analyse the latest digital trends.
Games on Web, inter-university 3D web game programming competition
The Doctoriales, a annual event to find out what a PhD Student's life looks like.

Artificial intelligence is transforming our jobs, our ways of life and our societies. The aim of the Master’s in Computer Science, specialising in Artificial Intelligence, is to train specialists who are not only able to master these technologies, but also to design, develop and evaluate them rigorously.
  • Students acquire solid skills in machine learning and deep learning, particularly in data processing and natural language processing.
  • They are trained in modelling AI systems, analysing their performance and validating them, including through the use of formal methods.
  • The programme also focuses on mastering the tools and methods of software engineering as applied to intelligent systems.
  • Upon completion of the Master’s degree, graduates are able to join R&D or advanced software development teams, or to pursue a PhD in the fields of AI and computer science.

This Master's degree program in Computer Science is part of the curriculum offered by the Digital Systems for Humans Graduate school (EUR DS4H).

The School encourages students to broaden their digital horizons by combining their coursework with a wide range of à la carte semester options: minor courses in law, business, computer science, AI, strategy and innovation, creative industries, entrepreneurship, etc., immersive research projects in laboratories,... Each student can thus develop a unique professional profile by acquiring the cross-disciplinary skills valued by companies, the research community, and start-ups.
In partnership with leading research laboratories and a dynamic network of corporate partners, the School also aims to create opportunities for students: scientific and professional events, programming competitions, international mobility, etc. are all opportunities to learn outside the classroom and successfully enter the job market.

KEY FIGURES

Training accessible to people with disabilities.
Anna-Maria SUCHINSKA
Responsible for welcoming and supporting students with disabilities
Campus SophiaTech Campus, Templiers, building E, office E206
anna-maria.suchinska@univ-cotedazur.fr
Mission Handicap Website

This program is eligible to  MON COMPTE FORMATION
moncompteformation.gouv.fr

  • Master's in Computer Science courses are held on campus SophiaTech.
  • DS4H minor courses may be held on other campuses.
SophiaTech is the Université Côte d'Azur campus dedicated to information and communication technologies, located in the heart of Sophia-Antipolis, Europe's leading technology park, near Cannes, Antibes, and Nice.

WORK-STUDY PROGRAM:

Partnership


The Master's in Computer Science is backed by internationally renowned computer science research laboratories, ensuring that students receive teaching that is directly in line with the latest developments in the field.
 
     

The French Riviera offers an optimum environment for high tech business, R&D, research and higher education. The Digital Systems for Humans Graduate school benefits from this very rich industrial and innovation ecosystem including world-class companies, SME, start-ups and competitiveness clusters.
  • Sophia Antipolis is Europe's leading technopole. It brings together world leaders, researchers, SMEs and start-ups in an exceptional natural environment of 2,400 hectares. The Sophia Antipolis Science Park is a place of innovation, providing companies with cutting-edge technologies and expertise in the fields of Information and Communication Technologies, in particular the Internet of Things and the Connected Vehicle, Biotechnologies and Earth and Energy Sciences.
  • Nice is the first European city to have deployed a bouquet of services based on mobile contactless technology (NFC). Numerous experiments are being implemented on its territory by world leaders (Cisco, IBM, Orange, ErDF, Schneider Electric, etc.) on the theme of the smart city, as well as e-health and the Silver Economy.

The Plaine du Var's eco-valley is listed as a "national interest operation", and is set to position the Côte d’Azur as an international leader in the fields of cleantech and sustainable development

Admission

Prerequisite

Undergraduate level

  • Entry requirement: 3 years’ higher education

To be admitted to the first year of the Master’s degree (M1), students must:
  • Hold a dual Bachelor’s degree in Computer Science.
  • Or hold another science-based Bachelor’s degree or equivalent qualification, subject to meeting the necessary prerequisites.
  • Possess advanced skills in programming, algorithms and data structures, databases, systems, fundamental computer science, Web, AI, complexity.
  • Work-Study program: present a career plan consistent with the programme’s content.

Within Université Côte d’Azur, the following courses allow students to progress to a Master’s in Computer Science (selection based on application):

Conditions of applications

Admission to the Master’s programme is selective.
Students applying for the work-study Master’s in Computer Science must state very clearly in their application either their intention to undertake a work-study placement or the name of a company willing to take them on. The work-study placement topic must be approved by the work-study coordinator.
 

2027/2028 Applications

Application for the M1 in Computer Science: MonMaster procedure

‘Etudes en France’ Application Procedure (admission to the 1st year only)

This procedure applies only to students who are residents of, or nationals of, one of these countries.
  • From 1 October 2026, via the ‘Etudes en France’ platform – The deadline for applications is set by each embassy.

The application process is conducted online. No documents received by post or email will be considered.
Only applications submitted within the specified deadlines and via the official application platforms will be considered.

Conditions of specific applications

Votre dossier devra contenir les pièces suivantes qui concouront à l'évaluation de votre candidature :

Pièces obligatoires :

Relevé de notes du baccalauréat

  • Matières examinées : Matières scientifiques, culture générale

Relevés de notes des études supérieures
  • Matières examinées : Matières informatiques
  • Matières fondamentales pour lesquelles l’absence de connaissances est rédhibitoire : en cohérence avec la composition des majeures disponibles dans le parcours
  • Le redoublement ou la compensation sont-ils des critères d’appréciation ? OUI
  • Analyse de la cohérence entre le parcours suivi et le diplôme envisagé ? OUI
Lettre de motivation et descriptif du projet professionnel
  • Cohérence entre le diplôme envisagé et le descriptif du projet professionnel. La lettre devra impérativement contenir un choix argumenté de la ou des mineure(s) visée(s) qui sera un critère très important.
  • Qualité rédactionnelle (orthographe, défaut de structure ou de syntaxe).
  • Cohérence de la réflexion (développement de l’argumentaire).
     
CV détaillé

  • Elément de synthèse permettant de découvrir les compétences utiles acquises dans le cadre d’expériences précédentes et de cerner des éléments de personnalité du candidat

Promesse de contrat de professionnalisation ou d’apprentissage

Obligatoire pour les étudiants alternants uniquement, ce document rentre dans les critères de sélection. Il ne s’agit pas d’un contrat (rédigé sous un CERFA) mais d’une lettre d’engagement et surtout du descriptif de la mission en accord avec la mineure envisagée.

Pièces facultatives :

Lettre(s) de recommandation

  • La (les) lettre(s) de recommandation ne rentrent pas dans les critères de sélection mais permettent d’apporter un soutien à la candidature

Niveau de langue en Français
  • Niveau CECRL attendu : B2
Niveau de langue en Anglais
  • Niveau CECRL attendu : B2
Justificatifs d’expérience professionnelle
  • Ces éléments permettent d’apprécier l’adaptation du profil aux exigences du diplôme souhaité

Program

2026/2027 New Programme

  • M1 : hours  - M2 : hours
  • Courses marked with (EN) are taught in English.
Initial Program
Semester 1 - 30 ECTS
  • UE AI Game Programming (EN) - 3 ECTS
  • UE AI: Models and Applications (EN) - 3 ECTS
  • UE Model Checking for AI (EN) - 3 ECTS
  • UE Neural Language Processing (EN) - 3 ECTS
  • UE Software Engineering Software engineering and Design patterns (EN) - 3 ECTS
  • UE English (EN) - 3 ECTS
  • UE Electives (min 2 UE - max 4 UE, including max 1 DS4H minor. Only the 2 highest marks will be included in the calculation of the average) - To be chosen among:
    • Web (EN) - 3 ECTS
    • Advanced Algorithms (EN) - 3 ECTS
    • Gestion de projet - 3 ECTS
    • Distributed Computing and Learning (EN) - 3 ECTS
    • Programming Challenge (EN) - 3 ECTS
    • Problem Solving (EN) - 3 ECTS
    • DS4H Minor (EN) to be chosen from a range of courses - 3 ECTS
  • UE Project - 6 ECTS - To be chosen among:
Semester 2 - 30 ECTS
  • UE Natural Language Processing (EN) - 3 ECTS
  • UE Combinatorial Optimization (EN) - 3 ECTS
  • UE Logic for AI (EN) - 3 ECTS
  • UE Modélisation par des contraintes - 3 ECTS
  • UE Introduction to Multiagent Systems (EN) - 3 ECTS
  • UE Electives  (min 3 UE - max 5 UE, including max 1 DS4H minor. Only the 3 highest marks will be included in the calculation of the average) - To be chosen among:
    • Data Science for Complex Networks (EN) - 3 ECTS
    • Scalable Data Science (EN) - 3 ECTS
    • 3D Game Programming in Real Time on the Web (EN) - 3 ECTS
    • Modelling Distributed Systems (EN) - 3 ECTS
    • Computational Complexity (EN) - 3 ECTS
    • Programming Paradigms (EN) - 3 ECTS
    • DS4H Minor (EN) to be chosen from a range of courses - 3 ECTS
  • UE Project - 6 ECTS - To be chosen among:
Semester 3 - 30 ECTS
  • UE AI 1 (EN) - 6 ECTS
    • Advanced Natural Language Processing
    • Advanced AI Models
    • Decision Intelligence
  • UE AI 2 (EN) - 6 ECTS
    • Applied Model Checking for AI
    • AI Powered No-Code Development
    • Multiagent systems
  • UE Options AI 1 (EN) - 6 ECTS - 3 courses to be chosen among:
    • Advanced Problem Solving
    • Software Verification and Testing
    • Startup Creation through Technology Transfer from Public Academic Research
    • Programmation efficace et HPC
    • Federated Learning
    • Graph Analytics and Machine Learning
    • Graph & Complexity
  • UE DS4H Minor (EN) to be chosen from a range of courses - 3 ECTS
  • UE Project - 6 ECTS - To be chosen among:
  • UE Options AI 2 - 3 ECTS
    • Anglais
    • And one course to be chosen among:
      • Advanced Problem Solving
      • Software Verification and Testing
      • Startup Creation through Technology Transfer from Public Academic Research
      • Programmation efficace et HPC
      • Federated Learning
      • Graph Analytics and Machine Learning
      • Graph & Complexity
Semester 4 - 30 ECTS
  • UE Internship - 30 ECTS
    • Workplace experience
Work-Study Programme
Semester 1 - 30 ECTS
  • UE AI Game Programming (EN) - 3 ECTS
  • UE AI: Models and Applications (EN) - 3 ECTS
  • UE Model Checking for AI (EN) - 3 ECTS
  • UE Neural Language Processing (EN) - 3 ECTS
  • UE Software Engineering Software engineering and Design patterns (EN) - 3 ECTS
  • UE English (EN) - 3 ECTS
  • UE Electives  (min 2 UE - max 4 UE, including max 1 DS4H minor. Only the 2 highest marks will be included in the calculation of the average) - To be chosen among:
    • Web (EN) - 3 ECTS
    • Advanced Algorithms (EN) - 3 ECTS
    • Gestion de projet - 3 ECTS
    • Distributed Computing and Learning (EN) - 3 ECTS
    • Programming Challenge (EN) - 3 ECTS
    • Problem Solving (EN) - 3 ECTS
    • DS4H Minor (EN) to be chosen from a range of courses - 3 ECTS
  • UE Apprenticeship - 6 ECTS 
    • Workplace experience
Semester 2 - 30 ECTS
  • UE Natural Language Processing (EN) - 3 ECTS
  • UE Combinatorial Optimization (EN) - 3 ECTS
  • UE Logic for AI (EN) - 3 ECTS
  • UE Modélisation par des contraintes - 3 ECTS
  • UE Introduction to Multiagent Systems (EN) - 3 ECTS
  • UE Electives  (min 3 UE - max 5 UE, including max 1 DS4H minor. Only the 3 highest marks will be included in the calculation of the average) - To be chosen among:
    • Data Science for Complex Networks (EN) - 3 ECTS
    • Scalable Data Science (EN) - 3 ECTS
    • 3D Game Programming in Real Time on the Web (EN) - 3 ECTS
    • Modelling Distributed Systems (EN) - 3 ECTS
    • Computational Complexity (EN) - 3 ECTS
    • Programming Paradigms (EN) - 3 ECTS
    • DS4H Minor (EN) to be chosen from a range of courses - 3 ECTS
  • UE Apprenticeship - 6 ECTS 
    • Workplace experience
Semester 3 - 30 ECTS
  • UE AI 1 (EN) - 6 ECTS
    • Advanced Natural Language Processing
    • Advanced Ai Models
    • Decision Intelligence
  • UE AI 2 (EN) - 6 ECTS
    • Applied Model Checking for AI
    • AI Powered No-Code Development
    • Multiagent systems
  • UE Options AI 1 (EN) - 6 ECTS - 3 courses to be chosen among:
    • Advanced Problem Solving
    • Software Verification and Testing
    • Startup Creation through Technology Transfer from Public Academic Research
    • Programmation efficace et HPC
    • Federated Learning
    • Graph Analytics and Machine Learning
    • Graph & Complexity
  • UE Apprenticeship - 12 ECTS 
    • Workplace experience
Semester 4 - 30 ECTS
  • UE Projet innovation-recherche - 6 ECTS
  • UE Sciences Humaines, économiques et sociales - 3 ECTS
  • UE Apprenticeship - 21 ECTS
    • Workplace experience

Les étudiants de M1 peuvent faire un stage

L'EUR Systèmes Numériques pour l'Humain encourage ses étudiants à effectuer une partie de leurs études et leurs stages à l'étranger. Elle soutient la mobilité des Masters et Doctorants grâce à des dispositifs de financement dédiés.
Les différents types de mobilités, où partir, avec quelles aides ? Cliquez ici pour en savoir plus...

Full time

En formation initiale, le rythme du M1 Informatique-Intelligence artificielle est le suivant :
  • De septembre à juin : 5 jours par semaine à l'université (dont 3 jours pour les enseignement disciplinaires et 2 jours pour les mineures DS4H et les projets)
  • 416 heures de cours

School and work experience alternating

En alternance, le rythme du M1 Informatique-Intelligence artificielle est le suivant :
  • De septembre à juin : 3 semaines à l'université en début d'année, puis alternance de 3 jours à l'université / 2 jours en entreprise.

What's next ?

Level of education obtained after completion

Graduate level

RNCP URL of content

  • Les compétences professionnelles acquises dans cette formation figurent dans la fiche n°34126 du Répertoire National des Certifications Professionnelles.
  • Possibilité de valider un/des blocs de compétences : NON

Every year, a number of graduates from the Master’s degree in Computer Science go on to study for a PhD, either in France or abroad.
Employed by a research laboratory or a company, PhD students undertake an original research project over three intensive years, culminating in the defence of their thesis.
This globally recognised qualification (PhD) opens the door to numerous career opportunities in computer science within both the private and public sectors, in France and internationally, in roles such as lecturer-researcher, researcher and research engineer.
Locally, doctoral students from Université Côte d'Azur's Doctoral School of Information and Communication Sciences and Technologies are integrated into the teams of research laboratories partnering with the Digital Systems for Humans Graduate School or into the research and development laboratories of companies in the Sophia Antipolis technopark.

 

  • Employment rate: 90% after 18 months (2024 Graduates of the Master’s in Computer Science across all specializations, source: OVE-IT).
 

Submission

Year 2026/2027

  • Initial Program:
    • French students and EU nationals*: registration fees of €255 per year + CVEC
    • Non-EU foreign students (except in cases of non-liability and exemptions provided for by law) : 3 950 euros/year + CVEC
  • Work-study Program:
    • Student: no tuition fee but CVEC.
    • Host Company: 11 000 € (excluding the student's salary)
  • Executive Education:
    • 255 €/year + fees prorated according to the number of ECTS credits (on the basis of 6700 € / 60 ECTS)
Depending on your personal situation, different amounts may apply. 

 

Excellence Scholarship for International Students

  • The Excellence Scholarship "WINGS" Program from the DS4H Graduate School offers outstanding students the chance to receive a grant for the UbiNet track. This will be a decision from the Ubinet Program Committee. Key conditions: being a non-French citizen and having studied outside France, do the Master Internship with one of the Ubinet research teams. Find out more...

* "EU nationals" students are nationals of European Union member states (Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden), European Economic Area member states (EU + Iceland, Liechtenstein, Norway), Switzerland, and the United Kingdom. Czech Republic, Romania, Slovakia, Slovenia, Sweden), member states of the European Economic Area (EU + Iceland, Liechtenstein, Norway), Switzerland, Monaco, Andorra, and the province of Quebec (Canada). Students with refugee status or subsidiary protection are also covered by these rights.

After receiving confirmation of your admission to this program, you will need to complete your administrative registration. The procedures and registration deadlines vary depending on your situation.