Master's degree in Artificial Intelligence

The master's degree in Artificial Intelligence 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.

The doctoral degree in AI, which follows on from this master’s degree, was awarded the Spanish Ministry of Education’s Quality Award every year from 2003 to 2010. It is now a verified programme.

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General details

Duration and start date: 1.5 academic years, 90 ECTS credits. Starting September
Timetable and delivery: Mornings. Face-to-face
Fees and grants: Approximate fees for the master’s degree, excluding degree certificate fee, €4,901 (€7,352 for non-EU residents).
This master's degree was selected in the Masters of Excellence grant programme of the Catalunya-La Pedrera Foundation for the 2017-2018 academic year. More information is available at the Foundation's website.
More information about fees and payment options
More information about grants and loans
Language of instruction: English
Official degree: Recorded in the Ministry of Education's degree register

Admission

General requirements: Academic requirements for admission to master's degrees
Places: 50
Pre-enrolment: Pre-enrolment closed (consult the new pre-enrolment periods in the academic calendar).
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

Computational Intelligence 5
Computational Vision 5
Introduction to Human Language Technology 5
Introduction to Machine Learning 5
Introduction to Multiagent Systems 5
Planning and Approximate Reasoning 5

Second semester

Advanced Human Languages Technologies 5
Advanced Topics in Computational Intelligence 4
Artificial Intelligence in Health Care 3
Artificial Intelligence Seminar 3
Artificial Vision & Pattern Recognition 4.5
Assistive and Health-Care Technologies 4.5
Big Data Analytics 4.5
Cognitive Robotics 4.5
Complex Networks 5
Deep Learning 4.5
Human Language Engineering 4.5
Human-Computer Interaction 4.5
Intelligent Data Analysis Applications in Business 2
Knowledge and Representation Engineering 6
Logics for Artificial Intelligence 6
Minds, Brains and Machines 4
Multi-Robot Systems 4.5
Multiagent System Design 4
New Trends in Robotics 3
Nlp Over Open Linked Data 3
Object Recognition 4
Personalized Multi-Criteria Decision Support Systems 4.5
Probabilistic Graphical Models 4.5
Self Organizing Multiagent Systems 4.5
Supervised and Experiential Learning 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
Master's Thesis 18
Normative and Dynamic Virtual Worlds 4.5
Professional Practice in Artificial Intelligence 3

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, knowledge of a foreign language (preferably English), teamwork and proper use of information resources.

Sppecifics competences

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.

Double-degree agreements

Double-degree pathways with foreign universities

Master's degree in Artificial Intelligence (MAI) + Master's degree in Informatics- Mention in Computer Science or Mention in Software Engineering (Pontificia Universidad Católica del Perú, Perú)