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Programme requirements and specific admission criteria

The Doctoral Programme is organised, designed, coordinated and supervised by the Academic Committee (AC) responsible for its definition, updating and quality, as well as for its training and research activities. This Committee is comprised by 5 to 6 members as well as the coordinator of the programme, all of them PhD professors at the UPV (of the Departments of Computer Science and Computer Systems) and research staff from some of the research structures who participate in the Doctoral Programme.

The number of members of each research structure comprised in the AC will depend on the number of theses submitted in the last five years by each of the structures participating in the Doctoral Programme. All Committee members have at least one six-year research period recognised.

The AC will ensure compliance with the admission criteria to the programme and will be responsible for its assessment, taking the following aspects into account:

  1. Academic qualifications: Spanish or overseas graduates with training in computer engineering, telecommunications engineering, industrial engineering, electronic engineering, mathematics and physics will be able to access the programme.
  2. Postgraduate training: candidates must prove they have completed at least 60 postgraduate training credits (Master's degree) in the field of computer science.
  3. Academic record: both the undergraduate and graduate academic record must be provided to be assessed by the AC.
  4. Complementary training: the student's admission may include the requirement of complementary training when the AC deems it necessary, depending on the student's previous training.

The AC of the programme shall be responsible for assessing the students’ admission by applying a rating index (RI) on a scale of 0 to 100 points. Those students who achieve a minimum RI of 70 points shall have access the Doctoral Programme. The RI will be calculated as indicated in the following cases:

Assumption 2.1

In the case of having previously completed at least 60 Master's level credits, the following equation will be applied:

RI = 10 * f_exp + 40 * f_deg + 50 * f_pos


  • f_rec: weighting factor of the academic record of the total number of studies (undergraduate and postgraduate) considering the global average score on a standard scale from 0 to 1
  • f_deg: weighting factor of the undergraduate degree title
  • f_pos: weighting factor of the postgraduate degree title

The values ​​of f_deg are specified in the following table:

Computer Engineering
Telecommunications Engineering
Electronics Engineering
Industrial Engineering

For those degrees whose weighting factor is specified as a range, the AC will be in charge of assessing said factor according to the following criteria:

  • If the degree contains a specialisation, the AC will assess the similarity of this specialisation to the field of Computer Science.
  • Adequacy of the degree in the research line in which the candidate shows interest

Regarding postgraduate training, given the wide diversity of possible Master's degrees in the field of Computer Science, the Academic Committee of the programme shall determine the degree of similarity of the postgraduate degree with any of the Master's degrees offered by the DSIC or DISCA, thus establishing an assessment of the weighting factor (f_pos) between [0.1]. The Master's degrees offered by DSIC and DISCA are the following:

  • Parallel and Distributed Computing (DSIC)
  • Computer Engineering (DISCA)
  • Engineering and Technology of Software Systems (DSIC)
  • Artificial Intelligence, Pattern Recognition and Digital Imaging (DSIC)

In this way, the final assessment of f_pos will be adjusted to the following principles:

  • All graduate degrees will receive a weighting factor between [0.1] according to the assessment of the Academic Committee
  • The Master's degrees offered by the DSIC or DISCA will receive a weighting factor equal to 1 (f_pos = 1)
  • A Master's degree that is given a weighting factor of less than 0.4 (f_pos <0.4) will not exceed RI> = 70

Only those who meet an assessment of f_pos = 1 would be exempt from taking complementary training, being granted direct access to the Doctoral Programme.

Otherwise, depending on the graduate and postgraduate training provided, the AC shall determine the complementary training that the doctoral student should take to be accepted into the Doctoral Programme. Such complementary training may be acquired through the training offer of one of the aforementioned Master's degrees, all of which are official UPV degrees with related contents that enable complementing the training required to ensure the success of the doctoral training. Specifically, the AC’s recommendation for such training will consist of taking subjects of one or several courses of the four Master’s degrees taking into account the lack of training of the students and the research line in which they show interest in participating in (for example, Artificial Intelligence, Language Technologies, Software Engineering, Computer Science Technology, Grid Computer Science, Emerging Network Technology, etc.).

The subjects to be taken will be divided into the corresponding courses indicating their credits and associated training activities:

  • directed educational activities (lectures, seminars, group work presentations, etc.)
  • supervised training activities (mentoring, review of works, etc.)
  • autonomous training activities (personal study, bibliographic or documentary research on a research topic, etc.)
  • assessment training activities (tests, oral presentations, work reports, etc.)

Assumption 2.2

In the case of not having previously completed Master's level credits and not being in possession of an official Spanish degree of at least 300 ECTS credits, the following equation will be applied:

RI = 20 * f_rec+ 80 * f_deg

where f_rec represents the weighting factor of the academic record of the undergraduate studies where the global average score is assessed in a standard scale from 0 to 1 and f_deg is the weighting factor of the degree title and whose value is given as shown in the table presented for the assumption 2.1.

Those who are assessed under this assumption must take compulsory complementary training. As for assumption 2.1, such complementary training may be acquired through the training offer of one of the aforementioned Master's degrees.

For assumptions 2.3 (degree obtained according to overseas educational systems) and assumption 2.4 (being in possession of another Spanish PhD degree), the AC will review the files of the applicants and determine the complementary training to be taken, as the case may be, being able to use weighting factors similar to those shown in the previous tables, while always guaranteeing the training capacity of the doctoral student to undertake research tasks.

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