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Master in Artificial Intelligence

Presentation

About

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.
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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. Check FIB website for course availability.

 

Mandatory
Optative
Master Thesis

 

Courses given at UB
Courses given at UPC
Courses given at URV

 

Semester 1

Computational Vision
(CV - 5 ECTS)

Introduction to Machine Learning
(IML - 5 ECTS)

Introduction to MultiAgent Systems
(IMAS - 5 ECTS)

Computational Intelligence
(CI - 5 ECTS)

Introduction to Natural Language Processing
(INLP - 5 ECTS)

Planning and Approximate Reasoning
(PAR - 5 ECTS)

Semester 2

Advanced Natural Language Processing
(ANLP - 5 ECTS)

Advanced Topics in Computational Intelligence
(ATCI - 4 ECTS)

Artificial Intelligence Seminar
(AIS - 3 ECTS)

Complex Networks
(CN - 5 ECTS)

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

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

Knowledge Representation and Engineering
(KRE - 6 ECTS)

Logics for Artificial Intelligence
(LAI - 6 ECTS)

Minds, Brains and Machines
(MBM - 4 ECTS)

Multi-Agent Systems Design
(MASD - 4 ECTS)

Multi-Criteria Decision Support Systems
(MCDSS - 4'5 ECTS)

Object Recognition
(OR - 4 ECTS)

Probabilistic Graphical Models
(PGM - 4'5 ECTS)

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

Semestre 3

Advanced Artificial Vision
(AAV - 4'5 ECTS)

Advanced Machine Learning Techniques
(AMLT - 5 ECTS)

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

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

Cooperative Robotics
(CR - 4'5 ECTS)

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

 

Intelligent System Project
(ISP - 3 ECTS)

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

Professional Practice in Artificial Intelligence
(PPAI- 3 ECTS)

 

Intelligent Data Analysis Applications in Business
(IDAAB - 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 next pre-registration period, to start the Master in September 2017, will be March-July 2017.

The admission period is divided into three periods:

  • Decision on applications received before April 18th will be announced no later than April 21st
  • Decision on applications received before May 27th will be announced no later than May 31st
  • Decision on applications received up to the end of the period will be announced no later than July 7th

The decision may be that the candidate has been admitted, that the candidate has been rejected or, in the case of the first two periods, that the decision has been postponed until the following period.

The official list of accepted candidates will be published on July 15th

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.

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.
IMPORTANT: All documents issued in countries that do not belong to the European Higher Education Area must be stamped and legalised by the appropriate government department, and translated into Spanish or Catalan language.

The Academic Committee is in charge of final decisions on student admission. It bases its decisions on the following:
  • Final average grade for undergraduate degree that provides access to the master's degree
  • Suitability of the candidate's previous degree. Holders of bachelor's degrees in Informatics, Computer Science, Information Technology, Computer Engineering, etc. Will be given preference
  • Academic performance on the previous degree
  • Experience in innovation and research projects
  • Additional university degrees

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.
For additional help, see the FAQs.

Faculty

Professor in charge

Other professors

Double Degree

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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
For additional help, see the FAQs

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