Home page
  1. Top news
  2. Year plus
  3. Fields of study
  4. Information guide for international students
  5. Bachelor and Single-cycle master degree programmes
  6. Master degree programmes
  7. Doctoral degree programmes
  8. Exchange
  9. Career centres, tutelage, extracurricular activities
  10. Summer school
  11. Programmes and Subjects in English
  12. Frequently asked questions
  13. Impressions
  14. Partners and Memberships
  15. University ranking
  16. Young Researchers
  17. Living in the Republic of Slovenia and Ljubljana
  18. Student council

Interdisciplinary doctoral programme in STATISTICS
Curriculum and schedules

The programme consists of organised forms of teaching and research. Organised teaching comprises of 60 credits; the remaining 180 credits are intended for individual research work (IRW) for elaboration of the doctoral dissertation.

Prior to enrolment, candidate chooses a mentor and one of seven modules. In cooperation with the mentor, the candidate selects courses from the list of obligatory and elective courses. Each student must complete three obligatory core courses. New Developments in Statistics is obligatory for all students. Mathematical Statistics is obligatory for mathematical module students, and Methodology of Statistical Research is obligatory for all other students. Students select another obligatory course from the courses in Selected Topics (on the relevant module).

Candidates are free to choose between 30 elective courses worth 5 ECTS from the list of elective courses. They are allowed to select 10 ECTS from elective courses from other doctoral programmes at the University of Ljubljana and comparable programmes of foreign universities. The selected courses must be approved by the mentor and the module coordinator. Elective credits can be selected also from the university pool of the generic skills courses, listed at the web site of the University of Ljubljana.

 

Year 1

Credits

Year 2

Credits

Year 3

Credits

Year 4

Credits

New Developments in Statistics

10

Obligatory module course

15

Individual research work 3

60

Individual research work 4

50

Obligatory course 2 (Methodology of Statistical Research or Mathematical Statistics)

5

Presentation of the doctoral dissertation

5

 

 

Presentation of the doctoral dissertation before the public defence of the dissertation

5

Elective course 1

5

Individual research work 2

40

 

 

Public defence of the doctoral dissertation

5

Elective course 2

5

 

 

 

 

 

 

Elective course 3

5

 

 

 

 

 

 

Individual research work 1

30

 

 

 

 

 

 

 

In the first year of study, doctoral candidates, within the framework of obligatory and elective courses, obtain fundamental theoretical knowledge and expertise of scientific work.

The second year of study all course work must be completed. The doctoral thesis is presented at the end of the first semester.

The candidates of the module Mathematical Statistics need to pass a doctoral exam, which replaces presentation of the theme of the doctoral thesis on other modules in the second year of study. The successfully passed doctoral exam is the requirement to enrol into the third year of study.

 

The candidates take the doctoral exam from two areas:
(A) Mathematical Statistics
(B) One of following areas: Financial mathematics, Numerical methods in financing and economics, Mathematical methods in risk theory, Selected chapters from financial mathematics, Bayesian methods in statistics, Mathematical methods in econometrics, Stohastic  processes.

The candidates take the doctoral exam from two areas/fields/ (from Mathematical Statistics and from one of following areas/fields/: Financial mathematics, Numerical methods in financing and economics, Mathematical methods in risk theory, Selected chapters from financial mathematics, Bayesian methods in statistics, Mathematical methods in econometrics, Accidental processes

The focus of the third year is research work, preparation and defence of the doctoral thesis.

Mobility
Students are allowed to select 10 ECTS from elective courses from other doctoral programmes at the University of Ljubljana and comparable programmes of foreign universities. The selected courses must be approved by the mentor and the module coordinator. Elective credits can be selected also from the university pool of the generic skills courses, listed at the web site of the University of Ljubljana.

Each student must complete three obligatory core courses. New Developments in Statistics is obligatory for all the students. Mathematical Statistics is obligatory for mathematical module students, and Methodology of Statistical Research is obligatory for all other students. Students select another obligatory course from the courses in the Selected Topics (on relevant module).

Name of the course Course coordinator ECTS
New Developments in Statistics (obligatory course for all) Anuška Ferligoj 10
Methodology of Statistical Research (obligatory course for all modules except for the mathematical) Mihael Perman 5
Mathematical Statistics (obligatory course for module Mathematical Statistics and an optional for the rest) Mihael Perman 5
Selected Topics in Social Science Statistics (obligatory course for module Social Science Statistics) Aleš Žiberna 15
Selected Topics in Biostatistics (obligatory course for module Biostatistics) Janez Stare 15
Selected Topics in Economic and Official Statistics (obligatory course for module Economic and Official Statistics) Mojca Bavdaž 15
Selected Topics in Business Statistics (obligatory course for module Business Statistics) Irena Ograjenšek 15
Selected Topics in Mathematical statistics (obligatory course for module Mathematical statistics) Jaka Smrekar 15
Selected Topics in Psychological Statistics (obligatory course for module Psychological Statistics) Gregor Sočan 15
Selected Topics in Technical Statistics (obligatory course for  module Technical Statistics) Gregor Dolinar 15

Candidates are free to choose between 30 elective courses worth 5 ECTS from the list below. They are allowed to select 10 ECTS from elective courses from other doctoral programmes at the University of Ljubljana and comparable programmes of foreign universities. The selected courses must be approved by the mentor and the module coordinator. Elective credits can be selected also from the university pool of the generic skills courses, listed at the web site of the University of Ljubljana. 

For the module in Mathematical Statistics, candidates are obliged to choose one course from the list of elective courses in the Interdisciplinary Doctoral Programme in Statistics, except the course Mathematical Statistics and the courses intended for non-mathematicians (marked by * in the table) and two elective courses offered at the Faculty of Mathematics and Physics, Department of Mathematics.

  Name of the Course Course coordinator ECTS
1 Categorical Data Analysis Jože Rovan 5
2 Customer Data Analysis Irena Ograjenšek 5
3 Data Mining Blaž Zupan 5
4 Data Collection in Official Statistics Mojca Bavdaž 5
5 Data Mining and Knowledge Discovery Nada Lavrač 5
6 Data Processing in Official Statistics Mojca Bavdaž 5
7 Demographic Analysis and Models Jože Sambt 5
8 Design and Analysis of Experiments Katarina Košmelj 5
9 Environmental Statistics Damijana Kastelec 5
10 Index Numbers and Composite Indicators Jože Sambt 5
11 Internet Mediated Research Valentina Hlebec 5
12 Linear Algebra for Multivariate Methods * Damjana Kokol Bukovšek 5
13 Modern Econometric Analysis 1 Miroslav Verbič 5
14 Modern Econometric Analysis 2 Miroslav Verbič 5
15 Modern Psychometric Test Theory Gregor Sočan 5
16 Multilevel Regression Models Marko Pahor 5
17 Multivariate Analysis Anuška Ferligoj 5
18 National Accounts and Transfers Across Generations Jože Sambt 5
19 Network Analysis Vladimir Batagelj 5
20 Network Analysis in Business and Economics Marko Pahor 5
21 Reliability and Life Testing Gregor Dolinar 5
22 Qualitative Research for Business Irena Ograjenšek 5
23 Statistical Background of Bioinformatics Andrej Blejec 5
24 Statistical Computing Andrej Blejec 5
25 Statistical Consulting Irena Ograjenšek 5
26 Statistical Quality Control Irena Ograjenšek 5
27 Statistical Systems in Economics and Business Sciences Mojca Bavdaž 5
28 Stochastic Processes * Janez Bernik 5
29 Survey Methodology Katja Lozar Manfreda 5
30 Technical Statistics Melita Hajdinjak 5
  • Obligatory courses in the 1st year Methodology of Statistical Research and Mathematical Statistics will take place in the first half of the winter semester.
  • Obligatory course in the 1st year New Developments in Statistics will take place in the summer semester.
  • After the end of lectures within the course Methodology of Statistical Research, elective courses will be implemented.

 

SCHEDULES:

Schedule of the course METHODOLOGY OF STATISTICAL RESEARCH

Schedules of other courses will be published as soon as they are confirmed.