Short description of modules

Students choose module when enrolling. Selection of the module determines two compulsory module courses and the general field of the master´s thesis as well as the student´s practical work. Students can choose other module courses as elective courses.


Coordinator: doc. dr. Maja Pohar Perme (

In medicine, there is no theory without examination in practice. Statistics is crucial part of all medical research from research design to interpretation of results, the most useful tool for scientific research in the fields of biology and biotechnology. Proper experimental design and analysis interconnect profession and statistics. One of the hot topics is genetics. The major data user is pharmacy.

Compulsory module courses: Event History Analysis / Survival Analysis, Design and Analysis of Experiments

To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination:
he may be able to say what the experiment died of. (R.A.Fisher)

Social Science Statistics

Coordinator: izr. prof. dr. Aleš Žiberna (

Statistics is applied to all fields of social research. It enables market research, public opinion surveys and election polls to go far beyond speculations. It also includes network analysis and examining social phenomena.

Compulsory module courses: Categorical and Measurement Models in Social Science, Statistical Views of Data Collecting

Economic and Business statistics

Coordinator: red. prof. dr. Irena Ograjenšek (

Statistics is essential in service (e.g. insurance, wholesale) and manufacturing sector. It is used on strategic as well as functional level (e.g. marketing, retail, finance). It represents analytical foundation for economic policy planning on macro level.

Compulsory module courses: Business statistics, Economic Statistics

If you think that statistics has nothing to say about what you do or how you could do it better, then you are either wrong or in need of a more interesting job. (S. Senn)

Mathematical statistics

Coordinator: izr. prof. dr. Mihael Perman (

Applied statistics is a combination of knowledge of mathematics, theoretical bases of statistics, programming ability and the capability to communicate with experts in the fields of application. Math module provides more in-depth approach to the methodological basis of statistics, which is beneficial to both the development of new approaches as well as to the reliable and appropriate use of existing methods.

Compulsory module courses: Measure Theory, Statistics 2

Additionally to the module courses, this module makes the following two courses at the math faculty compulsory: Bayesian statistics, Probability

Machine Learning

Coordinator: doc. dr. Jure Žabkar (

Machine learning combines statistics and computing, a well-grounded methodology, and effective engineering approaches for forecasting, grouping, and other tasks of modern data analysis.

Compulsory module courses: Introduction to Machine Learning, Advanced Methods of Machine Learning

Additionally to the module courses, this module makes the following two courses at the math faculty compulsory: Bayesian statistics, Probability, both on a rather high level of abstract mathematics

Technical Statistics

Coordinator: red. prof. dr. Gregor Dolinar (

Product quality is a key determinant of successful businesses, thus all larger businesses employ professionals that apply statistical methods to design, monitor and control quality of products and production processes.

Compulsory module courses: Statistical Process Control, Design and Analysis of Experiments

Official Statistics

Coordinator: izr. prof. dr. Mojca Bavdaž (

Institutions that offer official statistics data (e.g.. Statistical Office of Republic of Slovenia, Bank of Slovenia, Agency for Public Legal Records and Related Services, Institute of Public Health) strongly rely on statisticians. The same applies for institutional data users(e.g. ministries, chambers and associations, research institutes).

Compulsory module courses: Introduction to Official Statistics, Methods and Tools of Official Statistics

He uses statistics as a drunken man uses lamp-posts--for support rather than illumination. (A. Lang)


Main contact:
e-mail: info.stat (at)

Contact for administrative questions (enrolment, technical questions):
Tanja Petek
University of Ljubljana, Faculty of electrical engineering, Tržaška cesta 25, 1000 Ljubljana.
room num.: AN012C-ŠTU
phone: 01 4768 460
e-mail: Tanja.Petek (at)


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