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Courses

Master in Computational Statistics and Data Analysis

InformationCourse/CS accredited by the Agency for Assessment and Accreditation of Higher Education (A3ES).

Admissions Requirements

  • Holders of a bachelor's degree in any of the following areas: Mathematics, Computer Science, Physics, Economics, Engineering, Biology and related fields or legal equivalent;
  • Holders of a foreign higher academic degree, in an aforementioned scientific area/related area, corresponding to a 1st cycle of studies organized in accordance with the Bologna Process by a State adhering to this Process;
  • Holders of a foreign higher academic degree, in an aforementioned scientific area/related area, which is recognized as meeting the aims of the degree by the statutory competent scientific body of the higher education institution (HEI) where they intend to be admitted;
  • Holders of a school, scientific or professional curriculum, in any of the aforementioned scientific areas and related areas, which is recognized as attesting the capacity to carry out this cycle of studies by the statutory competent body of the HEI where they intend to be admitted.

Admissions Requirements

Selection and ranking of the candidates will be carried out according to the following criteria and sub-criteria:
 
  • 1. Academic curriculum at the level of the 1st cycle (70%)
    • Sub-criterion 1.1: training area (25%)
    • Sub-criterion 1.2: final graduation mark (45%)
The measured mean is obtained by normalizing the mean to the scale from 0 to 20, adding the value of ln(R/r), and rounding to the nearest integer on the scale from 0 to 20, with ln being the natural logarithm and being R and r, respectively, for the University of Porto and for the university where the course was held, the positions in the world ranking published at http://www.webometrics.info
 
  • 2. Scientific curriculum and professional experience (30%)
    • Sub-criterion 2.1: publications, scientific communications and awards, taking into account the scientific area (10%)
    • Sub-criterion 2.2: participation in research projects/internships in the area of ​​the study cycle, or other professional experience considered relevant by the Scientific Committee of the Course (10%)
    • Sub-criterion 2.3: complementary training in the area, including courses leading and not leading to a degree, such as other masters or specialization courses, duly certified (10%)

Tiebreaker: In case of a tie, the ranking of the higher education institution considered in sub-criterion 1.2 will be used as the first tiebreaker and the result of an interview will be used as the second tiebreaker.
 
Candidates who do not yet have a bachelor's degree and/or have an academic, scientific or professional curriculum, which is recognized as attesting the capacity to carry out this cycle of studies by the statutorily competent scientific body, will be ranked according to the criteria and sub-criteria indicated above, but substituting the final graduation average for the weighted average of the curricular units carried out.

Teaching Language

  • In Portuguese and partially in English

Information


Contacts

Course Director: m.ecad.diretor@fc.up.pt
Postgraduate Section: pos.graduacao@fc.up.pt
Students: m.ecad@fc.up.pt




This information is provided strictly for informational purposes
and does not preclude consultation of the Official Gazette.

General information

Official Code: MC48
Director: Margarida Brito
Acronym: M:ECAD
Academic Degree: Master
Type of course/cycle of study: Masters Degree
Start: 2021/2022
Duration: 4 Semesters

Study Plan

Certificates

  • Master's degree in Computational Statistics and Data Analysis (120 ECTS credits)
  • Specialization in Computational Statistics and Data Analysis (60 ECTS credits)

Predominant Scientific Areas

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