Name of qualification Name of qualification: Magister matematične statistike/magistrica matematične statistikeAdd to comparison
Translated title (no legal status) Translated title: Master of Science in mathematical statistics
Type of qualification Type of qualification: Master’s degree
Category of qualification Category of qualification: Educational Qualification
Type of education Type of education: Master's education
Duration Duration of education:
2 years
Credits Credits: 120 credits
Admission requirements Entry conditions:
  • 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:
Natural sciences, mathematics and statistics
ISCED subfield subfield: statistics
Qualification level

SQF Level: SQF 8
EQF Level: EQF 7
EOVK Level: Second level

Learning outcomes:

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.

Assesment and completion:

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).

Progress:

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

Magister matematične statistike/magistrica matematične statistike

SQF 8

EQF 7

The Career path tab shows the possible career path within the selected qualification area, which is not the only one and is not mandatory. The actual transition between qualifications, which is determined by law, is defined in the Transition tab.

Doktor znanosti/doktorica znanosti s področja statistike

SQF 10 / EQF 8

Progression:

Third-cycle doctoral study programmes (SQF level 10)

Conditions for obtaining a public document:

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

Awarding body:

University of Ljubljana, Faculty of Mathematics and Physics

URL

Awarding body URL:
https://www.fmf.uni-lj.si/en/
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