Program Overview

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.

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)
• Language of instruction: English
• Location: Barcelona School of Informatics (FIB)
• 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 for this master's degree is currently closed
• 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 Language 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
• Deep Learning for Medical Image Analysis 3
• Human Language Engineering 4.5
• Human-Computer Interaction 4.5
• Intelligent Data Analysis Applications in Business 2
• Introduction to Research 3
• Introduction to Research 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
• Responsible Artificial Intelligence 3
• 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
• Machine Learning in Computer Graphics 3
• Normative and Dynamic Virtual Worlds 4.5
• Master's Thesis 18

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

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.

Organisation: Academic Calendar and Regulations

• UPC school: Barcelona School of Informatics (FIB)
• Participating institutions:
  • Universitat Politècnica de Catalunya (UPC) - coordinating university
  • Universitat de Barcelona (UB)
  • Universitat Rovira i Virgili (URV)
• Academic coordinator: Ulises Cortés
• Academic calendar: General academic calendar for bachelor's, master's and doctoral degrees courses
• Academic regulations: Academic regulations for master's degree courses at the UPC