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Master in Artificial Intelligence

Check our general information session presentation. You can also check the video.

Presentation

About

This master was created as a synergy between 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) as an interuniversity master. Artificial Intelligence research is interdisciplinary by nature and draws on computer science, mathematics, statistics, biology, neuroscience, cognitive science, linguistics, ethics, psychology and law. The master’s degree in Artificial Intelligence offers you an integrative and cutting-edge approach to the field and its application to real scenarios. Research in AI at the consortium of Catalan universities supporting this program spans knowledge representation and reasoning, machine learning, natural language processing, autonomous agents, computer vision robotics, and visualization. The emphasis is on practical techniques—and a solid theoretical background—for designing and constructing intelligent systems, enabling graduates from this course to apply their skills in a variety of settings. These skills are in high demand in the market. As a graduate of this program you will have the skills to carry out AI research in academic and R&D environments and to identify how AI techniques can provide intelligent solutions to IT problems in companies and organizations.
The lectures of this master take place in the three participating universities: UB and UPC, which sit in Barcelona, while URV sits in Tarragona and requires mobility by the students. 
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Target

This program is addressed to national and international students who wish to acquire advanced knowledge in AI in order to occupy positions of responsibility in industry, the public sector and academia in Catalonia, Spain or abroad. The program 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.

Language

English

Duration

Three semesters - Full time. 90 ECTS

Face-to-face

Workload

Full-time: 20h lectures, 20h personal work per week
Part-time: half of full-time

Fees

Why this master's degree?

The emphasis is on practical techniques—and a solid theoretical background—for designing and constructing intelligent systems, enabling graduates from this course to apply their skills in a variety of settings. As a graduate of this program you will have a good overview of the main AI techniques and an in-depth understanding of how to apply these techniques in at least one area within multi-agent systems, reasoning, data analytics and natural language processing. These skills are in high demand in the market. You will also have the skills to carry out AI research in academic and R&D environments and to identify how AI techniques can provide intelligent solutions to IT problems in companies and organizations.

Curriculum

This is a joint master’s degree organized by:

  • Universitat de Barcelona (UB)
  • Universitat Politècnica de Catalunya (UPC)
  • Universitat Rovira i Virgili (URV)

Click on the course unit details below for more information.
These courses are not taught every semester. The courses are distributed among the three different campuses. All elective courses have limited places. Check FIB website for course availability.

 

Mandatory
Elective
Master Thesis
Courses given at UB
Courses given at UPC
Courses given at URV

Semester 1

Computational Intelligence
(CI - 5 ECTS)

Computational Vision
(CV - 5 ECTS)

Introduction to Human Language Technology
(IHLT - 5 ECTS)

Introduction to MultiAgent Systems
(IMAS - 5 ECTS)

Introduction to Machine Learning
(IML - 5 ECTS)

Planning and Approximate Reasoning
(PAR - 5 ECTS)

Semester 2

Assistive and Health-Care Technologies
(AHCT – 4’5 ECTS)

Advanced Human Language Technologies
(AHLT - 5 ECTS)

Artificial Intelligence Seminar
(AIS - 3 ECTS)

Advanced Topics in Computational Intelligence
(ATCI - 4 ECTS)

Complex Networks
(CN - 5 ECTS)

Cognitive Robotics
(COR – 4’5 ECTS)

Deep Learning
(DL – 4’5 ECTS)

Human-Computer Interaction
(HCI - 4'5 ECTS)

Machine Learning in Computer Graphics
(MLCG - 3 ECTS)

Knowledge Representation and Engineering
(KRE - 6 ECTS)

Logics for Artificial Intelligence
(LAI - 6 ECTS)

Multi-Agent Systems Design
(MASD - 4 ECTS)

Minds, Brains and Machines
(MBM - 4 ECTS)

Object Recognition
(OR - 4 ECTS)

Probabilistic Graphical Models
(PGM - 4'5 ECTS)

Personalized Multi-Criteria Decision Support Systems
(PMCDSS – 4’5 ECTS)

Professional Practice in Artificial Intelligence
(PPAI- 3 ECTS)

Self Organizing Agent Systems
(SOAS - 4'5 ECTS)

Supervised and Experiential Learning
(SEL – 4’5 ECTS)

Unsupervised and Reinforcement Learning
(URL – 4’5 ECTS)

Semester 3

Artificial Intelligence in Health Care
(AIHC - 3 ECTS)

Artificial Vision and Pattern Recognition
(AVPR – 4’5 ECTS)

Big Data Analytics
(BDA – 4’5 ECTS)

Cognitive Interaction with Robots
(CIR - 4'5 ECTS)

Constraint Processing and Programming
(CPP - 4'5 ECTS)

Human Language Engineering
(HLE – 4’5 ECTS)

Intelligent Data Analysis Applications in Business
(IDAAB - 2 ECTS)

Intelligent Data Analysis and Data Mining
(IDADM - 4'5 ECTS)

Intelligent Decision Support Systems
(IDSS - 4'5 ECTS)

Intelligent System Project
(ISP - 3 ECTS)

Deep Learning for Medical Image Analysis
(DLMIA – 3 ECTS)

Multi-Robot Systems
(MRS – 4’5 ECTS)

Normative and Dynamic Virtual Worlds
(NDVW - 4'5 ECTS)

New Trends in Robotics
(NTR - 3 ECTS)

Master Thesis
(MT - 18 ECTS)

Employment opportunities

Artificial Intelligence exists in many forms, including video games, robotics, search engines, face and/or voice recognition software, medical and banking applications, etc.

With so many career options available in the field, there is a job waiting for anyone willing to work for it.

The career options available to the well-educated student are many and varied and our program offers this high-level education to motivated graduate students. Clearly, Artificial Intelligence plays an increasingly important role in running the world around us and the possibilities for its use continue to grow.

Any student willing to put in the effort to gain a high level of education will be quickly accepted into this growing industry, in which salaries are high.

Admission

Calendar

The admission period to start the Master programme in September 2022, is open from 1 March to 27 May 2022.

The admission period is divided into two periods:

  • 1st period. From 1 March to 22 April. The decision on applications will be announced no later than 29 April.
  • 2nd period. From 23 April to 27 May. The decision on applications will be announced no later than 3 June.
The decision may be that the candidate has been admitted, or that the candidate has been rejected or, in the case of the 1st period, that the decision has been postponed until the following period.


The notification from 3 June will include a waiting list with all the candidates whose position in the candidates list is higher than the number of places offered in the Master. The list will be ordered by candidates access mark. The candidates in that list can become admitted if some of the candidates firstly admitted decide to give up their seat.

Admitted candidates must accept their admission and confirm it with the payment of the allocation fee should be done before the date indicated in the admission message. After that day, we will understand that they give up their seat, so their admission will be revoked and the place assigned to the following candidate on the waiting list.

The official list of accepted candidates will be published on July 2022, on the FIB website, in the "Enrolment" section of each Master programme.

Fees and payment options

Information about prices and fees for the UPC's official master's degrees can be found at Fees and payment options.

Our masters have specific grants and scholarships.

Requirements

UPC

The admission requirements for the UPC's official masters can be found at What are the requirements to enroll in a master's degree?

Language

Candidates must provide proof of their English proficiency, with at least a B2 level in the Common European Framework of Reference for Languages (or equivalent).

Required Documents

  1. Curriculum Vitae
  2. DNI, NIE or passport
  3. Academic Personal Certificate. The certificate must detail the number of hours and credits studied and must include the grade awarded for each subject. This certificate also must contain information on the mark scheme and how grades are awarded.
  4. Diploma (or similar document). This document must confirm that the duration of the degree was at least three years and that is it a valid precursor to studies at postgraduate level (master’s degree) in that country. If that is not possible, it must indicate the level of higher education that the degree gives access to in the country where it was awarded.
  5. English knowledge Certificate (minimum: B2 of Common European Framework of Reference for Languages)
  6. If the applicant holds other qualifications related to the subject area of the Master’s Degree course applied for and that are different from those given to meet entrance requirements, it is necessary to include the original certificates and copy (or official copy) with the application.
  7. If the degree that gives access to the master was obtained in a foreign country, official statement of equivalence of the average grade obtained.
IMPORTANT: All documents issued outside Spain or in non-Spanish-speaking countries must be translated into Spanish or Catalan.All documents issued in non-EU countries must be legalised and bear the corresponding apostille.
 

Selection Criteria

The Academic Committee is in charge of the admission decisions of the candidates. The criteria are: Academic Information (50%), Background and professional experience (40%) and Motivation (10%).

The criteria details follow:

Academic Information: 
  • Final average grade for the undergraduate degree that provides access to the master's degree
  • Ranking of the university issuing the previous degree, using the most common rankings (e.g. ARWU, QS World University, etc.)
  • Academic performance on the previous degree
Background and professional experience:
  • Suitability of the candidate's previous degree. Holders of bachelor's degrees in disciplines in the field of Computer Science and Mathematics will be given preference, but candidates from other disciplines are welcome
  • Experience in innovation and research projects 
  • Additional university degrees
Motivation:
  • Candidate's resume and motivation letter
 

Pre-enrolment

You’ll need to complete and submit our online application form to apply for a master’s degree. Click the button below to begin the application process
Pre-enrolment

To pre-enroll, you will need to register online

Faculty

Professor in charge

Professors

Double Degree

Partner Universities

Universitat Rovira i Virgili
Universitat de Barcelona
Universitat Politècnica de Catalunya - BarchelonaTech

You’ll need to complete and submit our online application form to apply for a master’s degree
Click the button below to begin the application process

Pre-enrolment To pre-enroll, you will need to register online

Once you've been admitted, you will find all the academic information as how to register, academic calendar, schedule of classes and exams, etc. at  FIB Website.

Grants and Financial Aid

A variety of financial aid options to help you realise your dream. A university for everyone, committed to investing in people

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