Master's degree in Artificial Intelligence

Barcelona School of Informatics (FIB)

The master's degree in Artificial Intelligence (master's degree website) was created as a synergy between the doctoral programme in Artificial Intelligence (AI) at the Barcelona School of Informatics of the UPC, the School of Engineering of the Rovira i Virgili University (URV) and the Faculty of Mathematics of the University of Barcelona (UB). It guarantees an interdisciplinary education in which computer science intersects with philosophy, psychology, linguistics, engineering and other fields. It focuses on knowledge engineering, automatic learning and multi-agent systems, natural language processing, reasoning and problem-solving, soft computing and AI technologies, and the application of AI techniques to professional practice.

General details

Duration and start date: 1.5 academic years, 90 ECTS credits. Starting September
Timetable and delivery: Mornings and afternoons. Face-to-face
Fees and grants: Approximate fees for the master’s degree, excluding other costs (does not include non-teaching academic fees and issuing of the degree certificate):
€1,743 (€2,700 for non-EU residents ).
More information about fees and payment options
More information about grants and loans
Language of instruction: English
Information on language use in the classroom and students’ language rights.
Location: Barcelona School of Informatics (FIB)
Official degree: Recorded in the Ministry of Science, Innovation and Universities

Admission

General requirements: Academic requirements for admission to master's degrees
Places: 50
Pre-enrolment: Pre-enrolment for this master’s degree is currently closed. Use the “Request information” form to ask for information on upcoming pre-enrolment periods.

How to pre-enrol
Enrolment: How to enrol
Legalisation of foreign documents: All documents issued in non-EU countries must be legalised and bear the corresponding apostille.

Curriculum

First semester

Second semester

Advanced Human Language Technologies 5
Advanced Topics in Computational Intelligence 4
Artificial Intelligence in Healthcare 3
Artificial Intelligence Seminar 3
Artificial Vision and Pattern Recognition 4.5
Assistive and Healthcare Technologies 4.5
Big Data Analytics 4.5
Cognitive Robotics 4.5
Complex Networks 5
Deep Learning 4.5
Deep Learning for Medical Image Analysis 3
Experiential and Supervised Learning 4.5
Human Language Engineering 4.5
Human-Computer Interaction 4.5
Intelligent Data Analysis Applications in Industry 2
Introduction to Research 3
Introduction to Research 6
Logic for Artificial Intelligence 6
Minds, Brains and Machines 4
Multiagent System Design 4
Multirobot Systems 4.5
New Trends in Robotics 3
Nlp Over Linked Open Data 3
Object Recognition 4
Personalised Multicriteria Decision Support Systems 4.5
Probabilistic Graphical Models 4.5
Responsible Artificial Intelligence 3
Self-Organising Multiagent Systems 4.5
Unsupervised and Reinforcement Learning 4.5

Third semester

Cognitive Interaction with Robots 4.5
Constraint Processing and Programming 4.5
Intelligent Data Analysis and Data Mining 4.5
Intelligent Decision Support Systems 4.5
Intelligent System Project 3
Machine Learning in Computer Graphics 3
Normative and Dynamic Virtual Worlds 4.5
Master's Thesis 18

CompulsoryECTS
OptionalECTS
ProjectECTS

Professional opportunities

Professional opportunities

The master’s degree is addressed to students who wish to acquire advanced knowledge in AI in order to occupy positions of responsibility in industry, the public sector or academia, in Spain or abroad. The programme covers many research areas related to the design, analysis and application of AI. Students who undertake this master’s degree will be equipped to:

Deal with technically complex problems that require a degree of innovation and/or research.
Make strategically important decisions within their professional domain.
Pursue doctoral studies within the domain of information and communication technologies at the UPC, the URV, the UB or abroad.

Competencies

Generic competencies

Generic competencies are the skills that graduates acquire regardless of the specific course or field of study. The generic competencies established by the UPC are capacity for innovation and entrepreneurship, sustainability and social commitment, teamwork, proper use of information resources, knowledge of a foreign language (preferably English) and gender perspective.

Specific competencies

On completion of this course, students will be able to:

Design and implement computer-based studies, including cost analysis and execution adjusted to the available resources and the existing procedures.
Satisfy the information-analysis needs of organisations and identify sources of uncertainty and variability.
Solve the decision-making problems of organisations and integrate intelligent tools.
Apply artificial intelligence techniques in technological and industrial settings in order to improve quality and productivity.
Design, draft and present reports on computer-related projects that are specific to the field of artificial intelligence.
Design new computer tools and artificial intelligence techniques in their professional practice.
Assimilate and integrate changes in the economic, social and technological milieu into the goals and procedures of computer work in intelligent systems.
Respect regulations and ethics in their professional practice.
Respect the environment and design and develop intelligent systems that promote environmental sustainability.

Quality accreditation

Check the degree’s main quality indicators in the University Studies in Catalonia portal of the Catalan University Quality Assurance Agency. Find information on topics such as degree evaluation results, student satisfaction and graduate employment data.
Further information