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M2 Human Computer Interaction

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  • Places available
    12
  • Language(s) of instruction
    English
Présentation
Objectives

The domain of Human-machine interaction is attracting considerable attention in many areas of the software industry and in digital technologies in general. This Master's program prepares students for jobs in research, R&D, industry and consulting: interaction designer, user interface specialist, engineer, designer and project manager of interactive applications on various supports: desktop computer, web, mobile. These jobs exist in companies that specialize in interaction design and in numerous academic research teams that work in the area of human-machine interaction.

The Human-Computer Interaction course provides students with the fundamental knowledge and techniques required to design, build and assess interactive human-machine systems adapted to the needs of their users. It trains specialists in the field of Human-Computer Interaction, paving the way to careers in the academic field as well as at industrial R&D centres or in cutting-edge industries. This course is taught entirely in English.

Location
ORSAY
GIF SUR YVETTE
PALAISEAU
Course Prerequisites

Applicants must provide proof of their level of English for their file to be examined: results of a standardised test (TOEFL, IELTS, etc.), proof of studies carried out in English, etc.

Required skills:

+ English level B2 (Common European Framework of Reference for Languages) or above.
+ Applicants should have a M1 in Computer Sciences with a focus on Human-Computer Interactions.
+ Bachelor degree with honors (4years) is NOT sufficient to apply directly to our M2. you should apply to M1 instead.
https://www.universite-paris-saclay.fr/en/education/master/computer-sci…

 

Skills
  • Know and be able to explain the fundamental concepts belonging to the field of man-machine interaction.

  • Set up user-centric design methodologies.

  • Design, develop and evaluate interactive systems adapted to users' needs (mobile applications, WEB applications, multimodal interactions, data visualization, virtual and augmented reality systems, systems for users with specific needs, etc.). ).

  • Use qualitative and quantitative methodologies (Design of controlled experiments) to assess interactive systems.

Post-graduate profile

The profiles of students graduating from this programme are:
- Interaction designer
- Use interface specialist
- Engineer, designer and project manager of interactive applications on different media (desktop, web, mobile)

Career prospects

At the end of this study path, students will be able to start a doctoral programme at the STIC department of Université Paris-Saclay, either joining one of the university's research laboratories, or taking up a post in a company's R&D department
. M2 graduates can work for companies that develop innovative software, or start-ups, or join the R&D departments of companies such as Thalès, Orange, HP, IBM, Research, Yahoo, Google, etc.

Typical jobs in research, R&D, industry and consulting include:

- Interaction designer
- Use interface specialist
- Engineer, designer and project manager of interactive applications on different media (desktop, web, mobile)

Collaboration(s)
Laboratories

Laboratoire de recherche en informatique
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur.

Programme

Ce parcours-type est proposé en deux voies d'apprentissage :
- La voie initiale (HCI)
- La voie EIT Digital (HCID)

Toutes les UEs listées ci-dessous devront être validées au cours du parcours (M1 / M2): il est requis d'acquerir 60 ECTS par niveau, pour un total de 120 ECTS à l'issue des deux années.
Pour valider le parcours-type HCI (M1 & M2) dans la voie initiale, les étudiants devront suivre :

* En M1 HCI:
[HCI] Fundamental of Human-Computer Interaction 1 & 2
[HCI] Design of Interactive Systems classes
[HCI] Programming of Interactive Systems 1 & 2
[HCI] Evaluation of Interactive Systems classes
[HCI] Fundamentals of Virtual & Augmented Reality (+Project)
[HCI] Career seminar - Level 1 (+ Project)
[HCI] Design project - Level 1 (+ Project)
Soft skills - 1A (Langue)
8 UE au choix parmi les UE intitulées [HCI]
4 UE au choix dans l'ensemble des UE des autres parcours-types

* En M2 HCI:
[HCI] Career seminar - Level 2 (+ Project)
[HCI] Design project - Level 2 (+ Project)
Soft skills - 1B (Langue)
4 UE au choix parmi les UE intitulées [HCI]
4 UE au choix dans l'ensemble des UE des autres parcours-types
UE Stage long (30 ECTS)

Pour valider le parcours-type HCID (M1 & M2) dans la voie EIT Digital, les étudiants devront suivre :

* En M1 HCID:
[HCI] Fundamental of Human-Computer Interaction 1 & 2
[HCI] Design of Interactive Systems classes
[HCI] Programming of Interactive Systems 1 & 2
[HCI] Evaluation of Interactive Systems classes
[HCI] Fundamentals of Virtual & Augmented Reality (+Project)
[HCI] Career seminar - Level 1 (+ Project)
[HCI] Design project - Level 1 (+ Project)

Soft skills - 1A (Langue French)
Toutes les UE dont l'intitulé est EIT - xxx, sauf EIT - I&E Thesis (à passer en M2)
4 UE au choix parmi les UE intitulées [HCI]

* En M2 HCID:
[HCI] Design of Interactive Systems classes
[HCI] Advanced Programming of Interactive Systems 1&2
[HCI] Evaluation of Interactive Systems classes
[HCID] Fundamental of situated computing
EIT - I&E Thesis
Soft skills - 1B (Langue French)
5 UE au choix parmi les UE intitulées [HCI]
UE Stage long (30 ECTS).

Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
[AI] OPT 10: IMAGE INDEXING AND UNDERSTANDING 2.5 15 6
[AI] OPT 11: DEEP LEARNING FOR NLP 2.5 18 3
[AI] OPT 12: INFORMATION EXTRACTION FROM DOCUMENTS TO INTERFACES 2.5 10.5 10.5
[AI] OPT 13: Theorie de l'information 2.5 10.5 10.5 0 0
[AI] OPT1 : GRAPHICAL MODELS 2.5 15 6
[AI] OPT14:MULTILINGUAL NATURAL LANGUAGE PROCESSING 2.5 21
[AI] OPT2: IMAGE PROCESSING 2.5 21
[AI] OPT3 : REINFORCEMENT LEARNING 2.5 15 6
[AI] OPT4: DEEP LEARNING 2.5 10.5 10.5
[AI] OPT5 : VOICE RECOGNITION AND AUTOMATIC LANGUAGE PROCESSING 2.5 21
[AI] OPT6: LEARNING THEORY AND ADVANCED MACHINE LEARNING 2.5 21
[AI] OPT7: ADVANCED OPTIMIZATION 2.5 12 4.5 4.5
[AI] OPT8: GAME THEORY 2.5 12 4.5 4.5
[AI] OPT9: DATA CAMP 2.5 10 15
[AI] PRE1: APPLIED STATISTICS 2.5 10.5 10.5
[AI] PRE2: MATHEMATICS FOR DATA SCIENCE 2.5 12 4.5 4.5
[AI] PRE3: DATACOMP 1 2.5 12 9
[AI] PRE4: SCIENTIFIC PROGRAMMING 2.5 9 12
[AI] TC0 : Introduction to Machine Learning 2.5 15 6
[AI] TC1: MACHINE LEARNING 2.5 15 6
[AI] TC2: OPTIMIZATION 2.5 12 4.5 4.5
[AI] TC3: INFORMATION RETRIEVAL 2.5 9 12
[AI] TC4: Probabilistic Generative Models 2.5 16.5 4.5
[AI] TC5: SIGNAL PROCESSING 2.5 24
[AI] TC6: DATACOMP 2 2.5 12 9
[ANO] Blockchain 2.5
[ANO] Evaluation de performances 2.5
[ANO] Internet of Things 2.5 21
[ANO] Optimisation dans les graphes 2.5 21
[ANO] Optimisation discrète non linéaire 2.5 21
[ANO] Optimisation multi-objectifs 2.5 21
[ANO] MPI programming 2.5
[ANO] Programmation système et réseaux 2.5 21
[ANO] Réseaux mobiles 2.5 21
[ANO] Réseaux sans fil 2.5 21
[ANO] Tests fonctionnels de protocoles 2.5 21
[ANO] Théorie des jeux 2.5 21
[ANO] Virtualisation et cloud 2.5
[DS] Algorithms for Data Science 2.5 12 9
[DS] Bases de données avancées I : Optimisation 2.5 9 8 4
[DS] Bases de données avancées II : Transactions 2.5 9 8 4
[DS] Data Science Project 2.5 3 18
[DS] Distributed Systems for Massive Data Management 2.5 12 0 9
[DS] Intelligence Artificielle, Logique et Contraintes 2.5 10.5 10.5
[DS] Intelligence Artificielle, Logique et Contraintes : Projet 2.5 10.5 10.5
[DS] Knowledge Discovery in Graph Data 2.5 12 6 3
[DS] Semantic Web and Ontologies 2.5 12 9
[DS] Social and Graph Data Management 2.5 12 9
[HCI] Advanced Design of Interactive Systems 2.5
[HCI] Advanced Immersive Interactions 2.5 21
[HCI] Advanced Immersive Interactions - Project 2.5
[HCI] Advanced Programming of Interactive Systems 1 2.5
[HCI] Advanced Programming of Interactive Systems 2 2.5
[HCI] Augmented Reality Experience Design & Previsualization 2.5 21
[HCI] Career Seminar - Level 1 2.5
[HCI] Career Seminar - Level 1 : Project 2.5 21
[HCI] Career Seminar - Level 2 2.5
[HCI] Career Seminar - Level 2 project 2.5
[HCI] Creative Design 2.5
[HCI] Creative Design : Project 2.5
[HCI] Design of Interactive Systems 2.5
[HCI] Design project - Level 1 2.5 21
[HCI] Design project - Level 1 : Project 2.5 21
[HCI] Design project - Level 2 2.5 21
[HCI] Design project - Level 2 : Project 2.5 21
[HCI] Digital Fabrication 2.5
[HCI] Digital fabrication : Project 2.5
[HCI] Evaluation of Interactive Systems 2.5
[HCI] Experimental Design and Analysis 2.5
[HCI] Fundamental of Human-Computer Interaction 1 2.5
[HCI] Fundamental of Human-Computer Interaction 2 2.5
[HCI] Fundamental of situated computing 2.5
[HCI] Fundamentals of eXtended Reality 2.5
[HCI] Gestural and Mobile Interaction 2.5
[HCI] Groupware and Collaborative Work 2.5 21
[HCI] Groupware and Collaborative Work : Project 2.5 21
[HCI] Interactive Information Visualization 2.5
[HCI] Interactive Information Visualization : Project 2.5
[HCI] Interactive Machine Learning 2.5
[HCI] Interactive Machine Learning : Project 2.5
[HCI] Mixed Reality and Tangible Interaction 2.5 21
[HCI] Mixed Reality and Tangible Interaction - Project 2.5 21
[HCI] Programming of Interactive Systems 1 2.5
[HCI] Programming of Interactive Systems 2 2.5
[HCI] Serious games 2.5
[HCI] Serious games : project 2.5
[HCI] Studio Art Science 2.5 21
[HCI] Virtual Humans 2.5 21
[HCI] Virtual Humans : Project 2.5 21
[ISD] Algorithmique avancée 3 25
[ISD] Algorithmique distribuée 3 25
[ISD] Anglais 3 25
[ISD] Anglais 3 25
[ISD] Blockchain 3 25
[ISD] Cloud Computing 3 25
[ISD] Communication 3 25
[ISD] Data Lake 3 25
[ISD] Data Warehouse I 3 25
[ISD] Data Warehouse II 3 25
[ISD] Droit informatique 3 25
[ISD] Extraction et programmation statistique de l'information 3 25
[ISD] Introduction à l'apprentissage 3 25
[ISD] IoT (Internet des objets) 3 25
[ISD] langages Dynamiques 3 25
[ISD] Machine learning/Deep learning 3 25
[ISD] Mémoire 12 8
[ISD] Modèles Mathématiques 3 25
[ISD] Modélisation 3 25
[ISD] Optimisation 3 25
[ISD] outils pour la manipulation et l'extraction de données 3 25
[ISD] Politiques et concepts avancés en sécurité 3 25
[ISD] Probabilités/Statistiques 3 25
[ISD] Programmation système et réseau 3 25
[ISD] Projet étude de cas 3 25
[ISD] Projets tuteurés 6 25
[ISD] Rapport d'activité 6 5
[ISD] Représentation des connaissances et visualisation 3 25
[ISD] Réseaux 3 25
[ISD] Réseaux sans fil 3 25
[ISD] sécurité 3 25
[ISD] Services et applications Web 3 25
[ISD] Test et Vérification 3 25
[ISD] Traitement automatique des langues 3 25
[ISD] Traitement distribué des données. 3 25
[QDCS] Algorithms in the nature 2.5 21
[QDCS] Robust distributed algorithms 2.5 21
[QDCS] Parallel algorithms 2.5 12 6 3
[QDCS] Auto-stabilisation 2.5 21
[QDCS] Big Data 2.5 12 3 8
[M1 QDCS] High performance computing 2.5 12 9
[QDCS] [M2 QDCS] Recent trends in parallel, distributed, and quantum computing 2.5 21
[QDCS] Initiation to quantum algorithms and programming 2.5 21
[M1 QDCS] Game, learning, and optimisation of 2.5 21
complex systems 2.5 21
[QDCS] Stochastic optimisation 2.5 21
[QDCS] Ordonnancement et systèmes d'exécution 2.5 21
[QDCS] Advanced C++ programming 2.5 9 0 12
[QDCS] GPU programming 2.5 12 9
[QDCS] Programmation orientée objet 2.5 11 10
[SOFT] Soft skills - 1A (Langue) 2.5 21
[SOFT] Soft skills - 1B (Langue) 2.5 100
[SOFT] Soft skills - 2 (Communication) 2.5 21
[SOFT] Soft skills - 3 (Formation à la vie de l'entreprise - Initiation) 2.5 21
[SOFT] Soft skills - 4 Innovation et Entreprenariat 2.5 21
[SOFT] Soft skills - 5 Innovation et Entreprenariat avancé 2.5 21
[SOFT] Soft skills - Seminars (Fairness in Data Science) 2.5 20
[SOFT] Soft skills - Seminars B 2.5
[SOFT] Soft skills - Summer school 2.5 21
[SOFT] Soft skills - Transversal Project A 2.5 7 7 7
[SOFT] Soft skills - Transversal Project B 2.5 7 7 7
EIT - Business Development Lab 1 4
EIT - Business Development Lab 2 5
EIT - Innovation & Entrepreneurship Advanced 1 2.5 21
EIT - Innovation & Entrepreneurship Advanced 2 2.5
EIT - Innovation & Entrepreneurship Study 1 3 21
EIT - Innovation & Entrepreneurship Study 2 3
EIT - Innovation and Entrepreneurship Basics 1 3
EIT - Innovation and Entrepreneurship Basics 2 3
EIT - Summer School 4
French Language and Culture 1 2 30
French Language and Culture 2 2 21
Long internship 30
TER Stage 10
Modalités de candidatures
Application period
From 01/03/2024 to 15/05/2024
Compulsory supporting documents
  • Motivation letter.

    (in english)
  • All transcripts of the years / semesters validated since the high school diploma at the date of application.

    (Transcript of Record in english or french)
  • Certificate of English level (compulsory for non-English speakers).

    (Our HCI master is taught in English. You must provide proof of English language proficiency. IELTS: Overall score >= 6.0. TOEFL: Overall score >= 90. TOEIC >= 785 Some waivers: having completed a higher education degree instructed in English.)
  • Curriculum Vitae.

    (CV in english)
  • Selection sheet completed.

    (Ranked choices of master's tracks in English or French)
Additional supporting documents
  • VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

  • Supporting documents :
    - Residence permit stating the country of residence of the first country
    - Or receipt of request stating the country of first asylum
    - Or document from the UNHCR granting refugee status
    - Or receipt of refugee status request delivered in France
    - Or residence permit stating the refugee status delivered in France
    - Or document stating subsidiary protection in France or abroad
    - Or document stating temporary protection in France or abroad.

Contact(s)
Admission