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Interdisciplinary doctoral programme in STATISTICS

Contact:

University of Ljubljana
Kongresni trg 12, 1000 Ljubljana, Slovenia


Coordinator:

prof. dr. Janez Stare, University of Ljubljana Faculty of Medicine


Scientific fields/Modules/Areas:

Biostatistics, Statistics for Social Sciences, Economic and Official Statistics, Mathematical Statistics,
Business Statistics, Psychological Statistics, Technical Statistics


The programme is organised by the University of Ljubljana and provided by:
University of Ljubljana Biotechnical Faculty, University of Ljubljana Faculty of Arts, University of Ljubljana Faculty of Electrical Engineering, University of Ljubljana Faculty of Mathematics and Physics, University of Ljubljana Faculty of Medicine, University of Ljubljana Faculty of Social Sciences, University of Ljubljana School of Economics and Business

Number of available places: 20

Application deadline:
21 August 2020 for citizens of the Republic of Slovenia, citizens of EU Member States, Slovenians without Slovenian citizenship;
31 May 2020 for non-EU foreign citizens (extended to 9 June 2020)

Fee per programme: €12,000.00
Fee per study year:
1st year: €3,800.00
2nd year: €3,800.00
3rd year: €2,200.00
4th year: €2,200.00

 

VIS STATISTIKA - Student information system of the Interdisciplinary Doctoral Study Programme in Statistics (in English)


An advanced knowledge of statistics is of significant importance for science in general. Statistics is a significant and fundamental part of research in practically all academic/scientific disciplines. Advanced experts in statistics are sought by various services, from state administration to research departments in various companies. In the past decades, statistics as an independent scientific discipline has made an enormous contribution to science and society in general. It has become a tool that is applicable to diverse fields such as agriculture, biology, business and economics, education, engineering, law, medicine, social science, and others.

In the past few years, the University of Ljubljana has organized an interdisciplinary postgraduate programme in the field of statistics. As a result of this programme, the overall expertise in statistics has increased significantly, thus enabling the university to prepare a new doctoral programme based on experience of the noticeable advantages of an interdisciplinary approach. In spite of its great versatility, the programme defines two common compulsory courses in modern statistical approaches for students of all orientations, one modular compulsory course and several elective courses offering students the chance to specialize in their respective fields of interest. The interdisciplinary doctoral programme in Statistics is unique in Slovenia in offering possibilities for advanced education for all future experts in the general application of statistics needed in research institutions, public administration, and management.

The main goal of the interdisciplinary doctoral programme in Statistics is to further educate experts who have some fundamental knowledge in statistical theory, some experience in the field or some general statistical knowledge that is specific to an individual scientific field. The programme was organized and is carried out by experts from different faculties: the Biochemical faculty, the Faculty of Arts, the Faculty of Economics, the Faculty of Electrical Engineering, the Faculty of Mathematics and Physics, the Faculty of Medicine, and the Faculty of Social Sciences. The programme is coordinated at the university level by the Programme Board.

The interdisciplinary doctoral programme in Statistics is composed of seven modules:
Biotechnical faculty, Faculty of Arts, Faculty of Economics, Faculty of Electrical Engineering, Faculty of Mathematics and Physics, Faculty of Medicine, Faculty of Social Sciences. Doctoral candidates can choose their mentors from among internationally recognized experts in statistical science. Students and lecturers are encouraged to participate in international exchange schemes in the countries where ECTS is used.