Emotion Artificial Intelligence (EMAI) - EMAI4EU

Entry points, 1st year, Common Courses

Academic year 2025/2026

General information

Entry universities offer a modular curriculum consisting of (1) a core module on Artificial Intelligence and Computer Science and (2) a core module on Emotion Artificial Intelligence.

The aim of Module 1 is to provide students with a comprehensive theoretical and practical knowledge of mathematics and computer science, machine learning, deep learning, data representation and processing, as well as ethical, privacy and security considerations.

To fully apply the acquired competencies, the aim is also to enable the student to make purpose-oriented use of the latest deep learning frameworks and open-source neural network software functionalities.

Module 2 allows students to acquire a comprehensive knowledge and carry out relevant activities in the field of human cognition, which are deepened in selected chapters, such as understanding human cognitive and perceptual functions in order to lay the foundation for further analysis of human intentions, as well as cognitive control, social behaviour, language, memory, emotions and general perceptions.

The practical applications of Module 2 are covering the recognition, correct interpretation, expression and matching the intentions of the human partner and the embodied artificial intelligence. Different modalities as emotion-sensitive data sources and natural language processing are also incorporated in the curriculum.

Eötvös Loránd University (ELTE)

Compulsory Major CoursesSemesterECTS

Methods and Tools for Artificial Intelligence Applications 

1

6

Introduction to Data Science 

1

6

Deep Network Developments 

1

6

Advanced Deep Network Development 

1

6

Legal and ethical aspects of DS and AI 

1

4

Affective Computing 

2

6
Elective Major Courses  

Cognitive Science

2

6

Embodied Intelligence 

2

6

Introduction to NLP 

2

6
Compulsory I&E Courses

 

 

Innovation and Entrepreneurship Basics

1

6

Business Development Lab I. 

1

4

Innosocial Aspects of the Entrepreneurship 

2

6

Business Development Lab II. 

2

4
Elective I&E Courses  

I&E for Venture Creation 

2

4

Polytechnic University of Milan (POLIMI)

Compulsory Major CoursesSemesterECTS

SOFTWARE ENGINEERING 2

 

1

5

SYSTEMS AND METHODS FOR BIG AND UNSTRUCTURED DATA

1

5

FOUNDATIONS OF ARTIFICIAL INTELLIGENCE

1

5

COMPUTING INFRASTRUCTURES

2

5

MACHINE LEARNING

2

6
Elective Major Courses  

ARTIFICIAL NEURAL NETWORKS AND DEEP LEARNING 

1

5

RECOMMENDER SYSTEMS 

1

5

UNCERTAINTY IN ARTIFICIAL INTELLIGENCE 

1

5

DATA MINING 

1

5

IMAGE ANALYSIS AND COMPUTER VISION 

1

5

ADVANCED USER INTERFACES 

1

5

NATURAL LANGUAGE PROCESSING 

2

5

COMPUTER ETHICS 

2

5

ROBOTICS AND DESIGN 

2

5

I&E Courses

 

 

DESIGN THINKING FOR BUSINESS

1

5

HIGH-TECH ENTREPRENEURSHIP 

2

5

DIGITAL BUSINESS LAB 

2

10

COMMUNICATION AND ARGUMENTATION 

2

5

PHILOSOPHICAL ISSUES OF COMPUTER SCIENCE 

2

5

AGILE INNOVATION 

2

5

MULTIDISCIPLINARY PROJECT (I&E SUMMER SCHOOL) 

-

4

Université Côte d’Azur (UCA)

Compulsory Major CoursesSemesterECTS
Data science

1

3
Deep Learning 

1

3
Mathematics and Statistics

1

3
Modeling and Optimalization in ML 

1

3
Ethical aspects of data 

2

3
Human/Robot interaction 

2

3
Natural Language Processing 

2

3
Elective Major Courses  
Individual R&D project 

1 or 2

3

Introduction to Constraint Programming

1

3

Problem Solving

1

3

Information visualization

1

3

Blockchain & Privacy

1

3

Introduction to Security

1

3

Security & Privacy 3.0

1

3

Computer networks

1

3

Large Scale distributed systems

1

3

Big data technologies

1

3

Data valorisation

2

3

Advanced Logic

2

3

Anthropology and Ethics of Technics

2

3

Virtual Reality

2

3

Operational Research

2

3

Graphs

2

3

Functional programming

2

3

Advanced Computer networks

2

3

Creating interactive virtual worlds

2

3

Web

2

3

Artificial intelligence engineering

2

3

Embedded Artificial Intelligence, sensors, actutators

2

3

Data Valorisation

2

3

Reinforcement learning

2

3

Parallelism

2

3

Compulsory I&E Courses

 

 
Basics in I&E (technology ideation and basics)

1

3

Business Dev Lab 1 (and project management)

1

3

Business Intelligence 1 (data science for business) 

1

3

I&E for venture creation (summer school format)

2

4

Business Dev Lab (with application of business concepts learned

earlier) 

2

5

Elective I&E Courses  

I&E complementary course 1 (strategy and internationalisation) 

2

3

Business Intelligence 2 (marketing) 

2

3

University of Trento (UNITN)

Compulsory Major CoursesSemesterECTS

AI and Ethics 

1

6

Machine Learning/Deep learning 

1 and 2

12

Signal Image and Video 

1

6

Natural Language Understanding 

2

6
Compulsory I&E Courses

 

 

AI and innovations 

2

6

Business Development lab 

2

9

ICT Innovation 

2

9

Business Dev Lab (with application of business concepts learned

earlier)

2

5

Universidad Politécnica de Madrid (UPM)

Compulsory Major CoursesSemesterECTS

Statistical Data Analysis

x

3
Data Processes

1

4.5
Data Visualization 

1

3
Intelligent Systems 

1

4.5
Cloud Computing 

1

4.5
Deep Learning

2

3
Information Retrieval 

2

4.5
Emotion and Sentiment Analysis in text 

2

6
Image mining 

2

3
Elective Major Courses  
Big Data

1

3

Experimentation in software engineering 

2

4.5

Programming for AI 

2

5

Compulsory I&E Courses

 

 

Introduction to Innovation and Entrepreneurship Management 

1

6

Introduction to Technology Watch 

2

4.5

Business Development Lab 

2

6

Launching of ICT products 

2

2

Elective I&E Courses  

I&E seminars

2

5

University of Rennes (UR)

Compulsory Major CoursesECTS
ACO - Object-Oriented Analysis and Design 

5

BDD - Advanced Databases 

4

RO - Operations Research 

5

BDA - Basics of Data Analysis 

6

WS - Semantic Web Technologies 

5

SBD - Database Security

5

MPC - Machine learning 

5

TWA - Technological Watch 

5

Compulsory I&E Courses 
IEB - Innovation & Entrepreneurship (basics)5
BDL1 - Business Development Lab 5
BDL2 - Business Development Lab5
Elective I&E Courses 
KNI - Knowledge and Intangible Asset Management 5

University of Turku (UTU)

Compulsory Major CoursesECTS
Statistical Data Analysis 5
Data Analysis and Knowledge Discovery5
Evaluation of Machine Learning Methods5
Introduction to Deep Learning5
Introduction to Human Language Technology5
Cognitive Neuroscience5
Compulsory I&E Courses 
Introduction to Innovation and Business5
Lean Digital Business Design10
Summer School 4
Elective I&E Courses 
Knowledge and Innovation Management 5
Enterprise Architecture 6
Digital Business 3
Digital Business Models3

Exit points, 2nd year, Specialisation

Academic year 2026/2027

Eötvös Loránd University (ELTE)

Specialization: Humane Aspects of Applied Emotional AI 

To explore and understand the broad dimension of new techniques and applications supported by Emotional AI, focusing on human intention and the expression of Emotional through different modalities, together with critical thinking and general ethical considerations.

Compulsory Major CoursesECTS
Natural Language Processing

12

Thesis

30

Specialisation Courses/Electives

 

Computational Intelligence 

5

Collective Intelligence 

6

3D Point Cloud Processing and Analysis

6

3D Computer Vison

6

I&E Courses

 

Innovation and Entrepreneurship Study 

6

EURECOM

Specialization: Emotional AI embodied in Multimodal Agents 

Design, development and deployment of Emotional AI in Multimodal Agents. Multimedia analysis (face recognition, facial beauty assessment, sound processing, sentiment analysis). Neuro-symbolic systems. Conversational assistants with Emotional roles. Bias, fairness and ethical aspects of Emotional AI.

Compulsory Major CoursesECTS
Machine Learning and Information System (MALIS)

5

Database Management System Implementation (DBSYS)

5

Semester Project 

8

Language Course

1

Thesis/Internship

30

Specialisation Courses

 

Distributed Systems and Cloud Computing (CLOUDS)

5

Semantic Web and Information Extraction Technologies (WebSem)

2.5

Quantum Information Science (QUANTIS)

2.5

Optimization Theory With Applications (OPTIM)

2.5

Digital Image Processing (ImProc)

2.5

Sound and Music Processing (SoundProc)

2.5

Basics on Reinforcement Learning (ReLearn)

2.5

I&E Courses

 

Innovation and Entrepreneurship Study 

6

Universidad Politécnica de Madrid (UPM)

Specialization: Practical Emotional AI: healthcare 

Design and deployment Emotional AI solutions in practice. Usage of cloud resources, integration of different devices and systems with its application to healthcare.

Compulsory Major CoursesECTS
Data Analysis

4.5

Image Processing, Analysis and Classification 

5

Open Data and Management Graphs

4.5

Massively parallel machine learning 

4.5

Thesis/Internship

30

Specialisation Courses/Electives

 

Complex Data Analysis

4.5

Time Series 

4.5

Cloud Computing 

4.5

I&E Courses

 

Innovation and Entrepreneurship Study 

6

Université Côte d’Azur (UCA)

Specialization: Holisitic interdisciplinary aspects 

To understand the multifaceted domain of Emotionals, from signal processing and machine learning dimensions of Emotional capture, to psychological, behavioral, societal, and ethical aspects.

Compulsory CoursesECTS
Decision theory and health care

2

AI and emotions

2

Multimodal emotion recognition from video and biosignals 

2

Emotion and decision-making process

2

Behavioural economics and emotions 

2

Machine learning for image analysis

2

R&D Project

6

Thesis/Internship 

30

Specialisation Courses/Electives

 

Applied artificial intelligence 

2

Artificial Intelligence engineering 

2

Advanced topics in deep learning

2

Discourse dialog modeling

2

Spiking neural networks 

2

Reinforcement learning

2

Virtual Reality

2

Advanced Optimization

4

Fundamentals of ML

4

I&E Courses

 

I&E study (in Emotion AI scope)

6

University of Trento (UNITN)

Specialization: Emotional AI in Robotic Applications 

Design, development and implementation of Emotionally intelligent AI equipped robotic systems for multifaced domain applications. Acquire expertise in design, development and implementation of advanced human computer interaction going beyond the interaction paradigms traditionally adopted in Human Computer Interaction, interactive multisensory networked systems, collaborative Emotionally intelligent or emphatic robotic systems. Methods and means for developing Emotionally intelligent systems in different contexts.

Compulsory CoursesECTS
Affective Computing

6

Advanced HCI 

6

Human-Centric AI 

6

Thesis/Internship 

30

I&E Courses

 

Innovation and Entrepreneurship basic

6

University of Turku (UTU)

Specialization: Emotional AI in healthcare and medicine 

Emotional AI in healthcare and medicine: Design, development, and implementation of Emotionally intelligent AI systems for healthcare applications. Gamification strategies for designing interactive healthcare solutions that enhance patient engagement and Emotional well-being. Methods and means for evaluating the effectiveness of these systems in appropriate contexts.

Compulsory CoursesECTS
Programming for Health Wearables 

5

Gamification and Serious Games 

5

Acquisition and Analysis of Biosignals

5

Thesis/Internship 

30

Specialisation Courses

 

Introduction to Game Development Tools

5

Machine learning health technology project 

5

I&E Courses

 

I&E study

6

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Co-Funded by the European Union