Name of qualification Magister matematične statistike/magistrica matematične statistikeAdd to comparison [1]
Translated title (no legal status) Master of Science in mathematical statistics
Type of qualification Diploma druge stopnje
Category of qualification Izobrazba
Type of education Master's education
Duration
2 years
Credits 120 credits
Admission requirements
  • A completed first-cycle (Bologna) study programme in mathematics or financial mathematics; or
  • a completed first-cycle (three-year) academic study programme in an engineering, natural science or social science field, where the programme included at least 10 mathematics credits; such fields include physics, computer science, information science, civil engineering and mechanical engineering; or
  • a completed three-year academic study programme in any field; prior to enrolment candidates must also complete course units essential for further study; these requirements are determined with reference to the candidate's field of study and consist of between 10 and a maximum of 20 credits; or
  • a completed old (pre-Bologna) or new (Bologna) professional higher education programme in practical mathematics; prior to enrolment, students must also complete course units essential for further study, consisting of 45 credits from a first-cycle academic programme in mathematics or a first-cycle academic higher education programme in financial mathematics, where these credits must include examinations in the following subjects: Algebra 2, Algebra 3, Analysis 3, Analysis 4 and Seminar 2 in a first-cycle mathematics programme; or
  • a completed old (pre-Bologna) or new (Bologna) professional higher education programme in any field; prior to enrolment, students must also complete course units essential for further study, consisting of 60 credits from a first-cycle academic programme in mathematics or a first-cycle academic higher education programme in financial mathematics; these course units are determined with regard to the candidate's field of study.
ISCED field Field
Naravoslovje, matematika in statistika
ISCED subfield subfield statistika
Qualification level

SQF 8
EQF 7
Second level

The qualification holder will be able to:

(general competences)

  • use abstraction and analyse problems,
  • synthesise and critically assess solutions,
  • apply knowledge in practice,
  • share knowledge, communicate professionally and express themselves in writing,
  • search for sources and critically assess information,
  • undertake autonomous professional work and work in an (international) group,
  • develop professional responsibility and ethics,

(subject-specific competences)

  • demonstrate mastery of basic knowledge of mathematical statistics,
  • demonstrate mastery of the latest statistical approaches in individual fields,
  • draw ideas and solutions from related problems,
  • transfer new knowledge to their own field,
  • solve complex and demanding methodological problems,
  • critically assess various approaches,
  • use complex IT (programming) tools.

Examination performance is scored as follows: 10 (excellent); 9 (very good: above-average knowledge but with some mistakes); 8 (very good: solid results); 7 (good); 6 (adequate: knowledge satisfies minimum criteria); 5–1 (inadequate). In order to pass an examination, a candidate must achieve a grade between adequate (6) and excellent (10).

In order to enrol in the second year, students must have completed all first-year course units.

Third-cycle doctoral study programmes (SQF level 10)

In order to complete the programme, candidates must pass all examinations, including a final examination, and write and defend a master's thesis.

University of Ljubljana, Faculty of Mathematics and Physics

URL

https://www.fmf.uni-lj.si/en/ [2]