MHIAI → Master in Human Interaction and AI
The artificial intelligence is no longer just an occurrence of science fiction; it surrounds us, making our lives easier.
Our challenge now is adapting it to ever-evolving new business and human needs, with social and environmental responsibility.
Start date — September 2026
End date — July 2027
Course lenght — 400 hours
ECTS — 60 credits
Campus — Barcelona
Language — English
Format — In-person
Schedule* — Tuesday, Thursday and Friday
from 5 to 9.15 pm
*For academic reasons, sessions may be scheduled exceptionally outside these hours.
Tuition fee
Academic year 26-27
12.400€
plus 500€ in registration fees
Direction
Germán León
Coordination
Martí Ramírez
Introduction
Artificial intelligence is no longer an isolated technology or an invisible layer of software. Today, it actively shapes digital products, makes decisions, learns from human behaviour and redefines the way people interact with technology.
The Master in Human Interaction and Artificial Intelligence trains professionals capable of designing the relationship between people and intelligent systems.
The programme focuses on the design of AI driven digital products from a human system interaction perspective, integrating design, technical development and product architecture within a solid academic framework.
Throughout the master’s degree, students gain a deep understanding of how interfaces and experiences for artificial intelligence systems are designed, prototyped and implemented, always considering their human, social and technological impact.
This master’s degree prepares professionals to design intelligent systems aligned with human values, ready to face current and future technological challenges through academic rigour and professional practice.
What?
This master’s degree is an advanced academic programme focused on Human AI Interaction Design, a discipline that connects interaction design, user experience and artificial intelligence development.
The programme addresses the design of interfaces, systems and digital products where AI is not only a tool, but an active agent that learns, adapts and collaborates with people.
Students learn how to design experiences for AI driven products, understanding how technical models influence system behaviour and how these decisions affect users.
The master’s degree combines conceptual foundations with technical practice, allowing students to work with machine learning models, neural networks and interactive systems applied to real world products.
Why?
The development of intelligent systems requires new professional profiles capable of connecting technology, design and human experience.
Artificial intelligence is transforming entire sectors, from digital services to industry, healthcare and education, while introducing new challenges related to interaction, trust and decision making.
This master’s degree responds to the need to train professionals who not only understand how AI works, but who can design the way people interact with it.
From a rigorous academic base, the programme prepares students to work in environments where artificial intelligence defines both product behaviour and user experience.
Featured Projects
Who is it for
This programme is aimed at professionals and graduates in design, engineering, architecture or related disciplines who want to specialise in the design of AI driven digital products.
It is particularly suited for:
- — UX and Product Designers who want to work with AI at product level
- — Developers interested in interaction design and user experience
- — Hybrid profiles combining design and technology
- — Junior and mid level professionals seeking to deepen their expertise in AI applied to design
Students should be willing to work with programming and technical systems, as the master includes practical development using environments such as Python and JavaScript.
Germán León
Helvetica Digital
Program Director, teaches Introduction to Artificial Intelligence and Interaction Design
Bruno Recht
Independent - Formerly Porsche Digital
Teaches Introduction to AI Design / User Research
Jonatan Poveda
Independent - Formerly Gestoos / Preact Technologies
Teaches Design and Prototyping of Machine Learning and Neural Networks
Visiting Faculty and Lecturers
Visiting Faculty
Sudha Jamte
Arcadi Poch
Gemma Alcodori
Ricardo Pontevedra
Masters’ Talks 25.26
Dries Depoorter
Ronan Bouroullec
Karel Martens & Thomas Castro
Arno Brandlhuber, B+
Masters’ Interdisciplinary Workshops Week 26
Kris De Decker, Low-tech Magazine
Anna Diaz & Pedro Barquin, Hamill Industries
Tereza Ruller, The Rodina
Elaine Lopez, Parsons School of Design, NYC
Germán León & Regina Dos Santos, Helvetica Digital
Stephanie Rodriguez & Ricardo Lynch
How?
Learning is based on a practical and progressive methodology that combines theoretical foundations, experimental workshops and continuous project development.
Throughout the programme, students work on weekly projects and individual mini projects focused on designing and building AI systems across different domains.
The master’s degree includes active mentoring, continuous feedback and academic guidance to support both technical and conceptual growth.
The process culminates in the Final Master Project, where students design and implement an artificial intelligence system applied to a real use case.
Upcoming events
Approach
The programme’s approach integrates interaction design, cognitive science and the fundamental principles of artificial intelligence.
Students learn to analyse human needs, construct mental models and translate them into mathematical and computational models that become intelligent systems.
Key concepts such as agency, trust, explainability, bias, transparency and decision making are explored from a design perspective applied to digital products.
The master’s degree encourages a medium and long term vision, helping students imagine how artificial intelligence will reshape human experience in the coming years and design solutions that anticipate these changes.
Master Plan
The master’s degree is structured into progressive blocks that combine design, technology and applied experimentation.
All contents are developed in an integrated way, connecting theory, practice and critical reflection throughout the programme.
The master’s degree follows a learning by doing approach, combining project based learning, case studies, workshops and collaborative work.
The programme is structured around three main pillars: practical exercises, critical discussion and the final master project.
Active mentoring and continuous feedback support the academic and professional development of each student.
Module 1
Introduction to Artificial Intelligence and Interaction Design
This module provides a general overview of artificial intelligence and its role within contemporary technological and economic contexts. Students analyse the evolution of digital technologies, disruptive innovations and their impact on global markets and business models.
The module introduces strategic tools for analysing AI driven products and services, including benchmarking, strategic thinking and contextual analysis, with a focus on understanding interaction design within intelligent systems.
Module 2
Design and Development of Interactions
Students are introduced to modern web and mobile development concepts, including hybrid environments, progressive web applications and contemporary development frameworks.
The focus is on building high fidelity prototypes and proof of concepts, identifying technical and logistical constraints, and understanding how interaction design decisions impact system performance and user experience.
Module 3
Fundamentals of Cognitive Science and Design
This module explores the relationship between human psychology, physiology and technological design. Students examine fundamental human impulses, emotional processes and decision making mechanisms, and their influence on interaction with intelligent systems.
The course addresses empathy, ethics, accessibility and cognitive ergonomics, analysing how human factors such as perception, memory and motor control inform the design of meaningful and responsible digital products.
Module 4
Machine Learning and Neural Network Models
Students gain a practical understanding of machine learning and neural network models applied to interaction design. The module focuses on understanding how data driven systems learn, adapt and generate outputs that affect user experience.
Through applied exercises, students explore how mental models can be translated into algorithms, and how different AI paradigms influence interaction patterns and system behaviour.
Module 5
User Experience Architectures
This module focuses on designing and evaluating user experience architectures for intelligent systems. Students learn how to plan and conduct usability testing, analyse results and iterate solutions based on user and business needs.
The course introduces evaluation methodologies such as A B testing, behavioural analysis and interaction metrics, enabling students to assess the effectiveness of AI driven interfaces and services.
Module 6
Principles of Artificial Intelligence
Students are introduced to the core principles of artificial intelligence, including problem solving, reasoning, learning and interaction.
The module provides an overview of AI applications across different industries such as search engines, robotics, healthcare and digital services. Students explore how intelligent systems are designed, tested and implemented within complex infrastructures.
Module 7
Final Master Thesis
Implementation of an Artificial Intelligence Project
The Final Master Thesis synthesises the knowledge acquired throughout the programme. Students define, design and implement an artificial intelligence project that responds to user needs and system requirements.
The project development process includes research, ideation, validation, prototyping and testing, resulting in a high fidelity interactive prototype presented at the end of the programme.
Faqs
Applicant Profile / Who It’s For
It is aimed at profiles interested in integrating design and technology.
Admission requirements
The programme requires an official university degree or equivalent in design, engineering, architecture or related disciplines.
Career opportunities
Graduates of this programme will be prepared to work in areas such as:
- — Human AI Interaction Designer
- — AI Product UX Designer
- — Product Designer for intelligent systems
- — AI service design and consulting
- — Artificial intelligence start ups
- — Design and product roles in organisations developing AI
Degree
Master in Human Interaction and AI, degree awarded by Universitat de Vic – Universitat Central de Catalunya (UVic-UCC) and Elisava, Barcelona School of Design and Engineering