Entry profile

This master's degree is aimed especially at graduates in Computer Engineering, in Automation and Industrial Electronic Engineering or in Mathematics. Graduates in degrees with related competences, such as Telematics Engineering or Physics, may also be admitted. The recommended admission profile for each specialty are:

• Applied artificial intelligence: Graduates in Computer Engineering, in Mathematics, or in Automation and Industrial Electronic Engineering.
• Data science: Graduates in Computer Engineering or Mathematics.
• Computer vision: Graduates in Computer Engineering, in Mathematics, or in Automation and Industrial Electronic Engineering.
• Mobile Robotics: Graduates in Automation and Industrial Electronic Engineeringor in Computer Engineering.
• Internet of things: Graduates in Computer Engineering, or in Automation and Industrial Electronic Engineering.

In any case, the academic committee of the master's degree will evaluate the curriculum of each student to establish their suitability for each particular specialty.

Entry and Admission

Students interested in applying for a place on the master's programme need to submit their pre-registration application within the deadline and as per the methods set by the UIB Centre for Postgraduate Studies (CEP) every year.

The CEP will verify whether applicants fulfil the requirements for admission to the programme and, subsequently, submit the application to the programme coordinators to consider and decide on admission.

Finally, the CEP will publish the list of admitted students and provide the enrolment dates.

This procedure is governed by Regulatory Agreement of 23rd March 2022 that regulates access and admission to official master’s degree programmes, published in the extraordinary issue of the FOU no. 534 of 31st March 2022 (https://seu.uib.cat/fou/acord/14423/), implementing Article 18 of Royal Decree 822/2021 of 28th September that sets out the organisation of official university programmes and the quality assurance procedure.

Information on pre-registration, entry, admission and enrolment for the master’s programme will be published on the CEP website: <https://cep.uib.eu/en/Com_hi_puc_accedir/>.

Acces requirements

The CEP will consider the following with a view to ensuring that applicants meet the entry requirements for master’s programmes:

1. Holding an official Spanish undergraduate university degree or equivalent is a condition for entry to a master’s programme or, where applicable, holding another master’s degree or qualification with the same level as a Spanish undergraduate or master’s degree, issued by universities or higher education institutions in an EHEA country that grants admission to master’s programmes in said country
2. Similarly, candidates who have qualifications issued by other non-EHEA education systems that are equivalent to undergraduate degree level may be admitted to a master’s programme in the Spanish university system, without having to officially validate their qualification, as long as the country where said qualification was issued enables admission to postgraduate studies with said qualification. Nonetheless, the university shall verify the level of training accredited by this qualification. This admission method in no way involves validation of candidates’ prior degrees, nor does it provide any kind of recognition other than to provide entry to master's programmes.

Likewise, in order to verify whether applicants fulfil the entry requirements for a master’s programme, the CEP shall consider points 2 and 3 from Additional Provision 1 of Royal Decree 822/2021 regarding the equivalence of official university qualifications awarded prior to the introduction of the EHEA system:

• ‘2. Individuals who have an official Spanish undergraduate qualification of Licenciado (long-cycle five-year degree graduate), Arquitecto (architect) or Ingeniero (engineer) may be awarded academic credit recognition in accordance with what is set out in Article 10 of this Royal Decree. Likewise, these qualifications will grant admission to master’s programmes. In this instance, credit recognition with regard to the knowledge, skills and abilities attained on the previous qualifications, in line with their relevance to the master’s programme curriculum in question, may be granted
• 3. Individuals who have an official Spanish undergraduate qualification of Diplomado (short-cycle three-year degree graduate), Arquitecto Técnico (technical architect) or Ingeniero Técnico (technical engineer) may be awarded academic credit recognition in accordance with what is set out in Article 10 of this Royal Decree. Likewise, these qualifications will grant admission to master’s programmes. However, universities may exercise their autonomy and require supplementary training be taken, where deemed academically relevant. Moreover, credit recognition with regard to the knowledge, skills and abilities attained on the previous qualifications, in line with their relevance to the master’s programme curriculum in question, may be granted in exceptional and justified circumstances.’

Admission Requirements and Criteria

In accordance with Regulatory Agreement 14423/2022 of 23rd March that regulates access and admission to official master’s degree programmes, the Board of Studies shall be in charge of admission to the programme. This responsibility may be delegated to other specific committees or master's programme leadership.

For the Master’s in Intelligent Systems, the Academic Committee for the master’s programme shall manage candidate admission. It shall comprise the master’s coordinators and four lecturers on the degree programme.

In accordance with point 6 in Article 18 of Royal Decree 822/2021, academic committees reserve at least 5% of the spots offered on official master’s programmes for students who have an accredited disability level equal to or above 33%, as well as for students who have permanent support needs linked to a personal disability, who required resources and support for their full educational inclusion on previous study programmes.

Admission Requirements

In order to take the Master’s in Intelligent Systems, students must have an English language level equivalent to B2 in order to ensure they may correctly follow subjects taught in English since, as a minimum, the two mandatory subjects shall be taught in this language.

Taking Executive Agreement 12476 of 10th October 2017 that amends Executive Agreement 10990/2014 of 15th April approving the regulation on knowledge of English on degree programmes as a reference, master’s students must fulfil one of the following requirements:

• Submit accreditation recognised by the UIB proving that they have obtained a minimum B2 level of English in accordance with the CEFR
• Have passed at least 12 ECTS credits from subjects taught in English on a degree curriculum or mobility programme.

Admission criteria

Regarding admission criteria, as a general criterion, it will be checked whether the degree of access of the student is from the preferred admission profile, or a degree with similar competences. Additionally, the following criteria will also be considered to evaluate the applicants to the master's degree:

1. Average mark of the academic record of the student, giving preference to the recommended degrees.
2. Years of professional experience in the field of the technologies of the master's degree. You get the maximum score with two years of experience.

For its correct assessment, the candidate must present the required documentation in accordance with the provisions established by the admission regulations.

Applications will be assessed as follows:

1. Average grade of the academic record, 85% of the total assessment.
2. Years of professional experience in the field, 15% of the total assessment.

The pre-registration date for the master's degree will be taken into account if there is a tie between the candidates.

Learning Goals

The Master's Degree in Intelligent Systems provides students with the opportunity to acquire a solid foundation and advanced knowledge in this area—one of the most in-demand and promising fields in information technology. Intelligent Systems describe systems and methods that simulate intelligent behaviour aspects so that systems learn and deduce new knowledge autonomously and, in this way, enhance their problem-solving capabilities.

The topics on the programme include machine learning, the Semantic Web, big data analysis, computer vision, robot sensors and control, data mining and complex networks, etc. The programme has two main goals. On the one hand, training highly qualified professionals and providing them with the necessary skills and values to solve complex problems; and on the other hand, ensuring students are able to undertake theoretical and applied research activities into intelligent systems after finishing the programme. Moreover, all five specialisations look into the most interesting aspects in each relevant area.

Learning Outcomes

The programme goals focus on students attaining a set of core, general and specific skills and abilities. The core skills include:

• Possessing and understanding knowledge that provides a basis or opportunity to originally develop and/or apply ideas, often in a research context
• Being able to apply attained knowledge and problem-solving abilities in new or relatively unexplored settings within wider (or multidisciplinary) contexts linked to the area of ??study
• Integrating knowledge and addressing the complexity in devising opinions based on information which, being incomplete or limited, includes reflections on social and ethical responsibilities linked to applying acquired knowledge and opinions
• Being able to clearly and unambiguously present conclusions, and their underlying knowledge and reasoning, to specialised and non-specialised audiences
• Possessing the relevant learning skills for largely self-directly or independent study.

The general skills include:

• Integrating knowledge from different disciplines, as well as the managing complexity
• Possessing the capacity for technical management and leadership in research, development and innovation projects at corporations and technology centres
• Having a broad understanding of applicable techniques and methods in a specific specialisation, as well as their limitations
• Being able to work in international settings
• Understanding the steps, value and limitations of the scientific method, and being able to design and direct analytical, modelling and experimental research, as well as critically assess data and draw conclusions.

The specific skills include:

• Being able to analyse the information needs for a particular environment in the context of intelligent systems
• Having the ability to design an automatic system for collecting data in the field of intelligent systems
• Being able to model, simulate and interpret results in the field of intelligent systems
• Having the capacity to apply mathematical and statistical methods to design and develop applications and services in the field of intelligent systems
• Having the ability to assess the importance of documentary sources, and manage and find information to produce research projects
• Being able to read, understand and catalogue publications in the relevant field of study/research, as well as appreciate their scientific value
• Having the ability to understand funding mechanisms for research and technology transfer, as well as current legislation regarding the protection of research findings
• Having the capacity to undertake a comprehensive professional or research project, as well as present and defend it at a public event.

This Master’s degree gives direct access to the PhD program of Information Technology and Communications offered by the Department of Mathematics and Computer Science of the University of the Balearic Islands. It also guarantees proper training for any PhD program in the field of Computer Science.

The labor exits include especially those fields in which advanced knowledge in intelligent systems are necessary:

• Smart applications on the web and in the video game industry.
• Data analysis.
• Design and implementation of cognitive agents for the elderly.
• Computer vision.
• Robotics.
• Internet of things.

This Master’s degree lasts one academic year, that is, 60 ECTS credits. Credits are distributed in required subjects (6 credits), in six-month optional subjects (36 credits) and a Master's Thesis (18 credits).

Required subjects

Required subjects include the necessary foundations for all those students who want to start their path in the field of research or innovation.

Required modules:

Fundamental Notions of Research and Innovation (6 credits)
Master's Thesis (18 credits)

Optional subjects

Next, depending on the specializations chosen by the student, the following specializations are proposed: Applied Artificial Intelligence (18 credits), Data Science (18 credits), Computer Vision (18 credits), Mobile Robotics (18 credits) and Internet of Things (18 credits). Of these 5 specializations of 18 credits each one, the student must pass completely one of them and the remaining 18 credits may be taken from any subjects of the other specializations. Some of the subjects are recommended according to the profile of the student.

To obtain the title it is necessary to elaborate and defend the Master's Thesis.

The elements of evaluation are detailed in the academic guide of each subject. (Website section "Subjects").

Following the recommendations of the European Higher Education Area, all subjects of this Master's Degree will be evaluated following a continuous assessment process. At the beginning of the course, the evaluation criteria for each subject will be available to the students at the syllabus of each subject in the Subjects section of this webpage.

Dr Ramon Mas Sansó

Further information on the credit transfer and recognition system, regulations and procedure