Education

Statistical Olympics in Croatia – Best of 2017./2018.

Graduate, Postgraduate and Doctoral Level Studies, Courses and Projects in Statistics 

1._Graduate Programmes: European Master of Official Statistics (EMOS)

 EMOS labelled universities

2._Postgraduate Programme (professional) in CROATIAN:

—“Statističke metode za ekonomske analize i prognoziranje” (University of Zagreb Faculty of Economics and Business, Croatia)

3._Graduate and Doctoral Programmes (In ENGLISH)

__”The Interuniversity Postgraduate Program (Program) of Statistics and Operational Research, Spain:

  1. Master in Statistical Techniques
  2. Doctor in Statatistics and Opertational Research

4._Graduate and Doctoral ProgrammesGraduate and PhD in Statistics Programme in Ljubljana, Slovenia (In ENGLISH)

__Graduate Programmes in Statistics (The University of Ljubljana offers two graduate programmes in statistics. One of them is EMOS). Master in Applied Statistics – The programme was launched in October 2013 and offers five modules:
1._Official Statistics,
2._Economic and Business Statistics,
3._Statistics for Social Sciences,
4._Biostatistics and
5._Technical Statistics (more information can be found at webpage stat.uni-lj.si).

___Interdisciplinary Doctoral Programme in Statistics.
The programme was launched in October 2009 and offers seven modules:
1._Official Statistics,
2._Economic and Business Statistics,
3_Statistics for  Social Sciences,
4._Psychological statistics,
5._Biostatistics,
6._Mathematical Statistics and
7._Technical Statistics

5._FENStats: European Courses of Advanced Statistics ECAS

6._CROS- Collaboration in Research and Methodology for Official Statistics

CROS stands for “Portal on Collaboration inResearch and Methodology for Official Statistics”. The CROS Portal is dedicated to the collaboration between researchers and Official Statisticians in Europe and beyond. It provides a working space and tools for dissemination and information exchange for statistical projects and methodological topics.

7._USA: 
Sampling Program for Survey Statisticians
,
University of Michigan, USA (link)
Part of the
Summer Institute in Survey Research Technique

The Sampling Program for Survey Statisticians is an eight-week program consisting of three courses: a course in methods (SurvMeth 625), a course on the analysis of complex sample survey data (SurvMeth 614), and a hands-on daily workshop (SurvMeth 616.)

Leslie Kish International Fellowship

8._Europe:

United Kingdom
University of Essex:  The 52nd Essex Summer School will take place between 8 July and 16 August 2019: 
Essex Summer School in Social Science Data Analysis and Collection
Courses cover various types of quantitative and qualitative research methods, research design, techniques for data collection and measurement as well as mathematics.

United Kingdom
Newcastle University Digital Institute: 
EPSRC CDT in Cloud Computing for Big Data

Netherlands
Utrecht University (Department of Methodology and Statistics) and Statistics Netherlands (CBS, Department of Methodology)
Summer School – Survey Research: Design, Implementation and Data Processing, 19-23 August 2019, Netherlands

Germany
GESIS Summer School in Survey Methodology (Leibniz Institute for the Social Sciences, Cologne) – GESIS Training Courses Newsletter to receive an e-mail notification once registration for courses is open. Details at:  training.gesis.org

Spain
BARCELONA SUMMER SCHOOL IN SURVEY METHODOLOGY 2019
Intensive Course in Quantitative Methods for Competition Analysis
Barcelona Graduate School of Economics

Switzerland
Master’s programme in Quantitative Economics and Finance (MiQE/F) University of St. Gallen

France
Global School in Empirical Research Methods GSERM at the University of St.Gallen: Understand your Data. Get research skills.

9._ECPR Winter School, University of Bamberg, Germany: COURSES AND WORKSHOPS ON METHODS AND RESEARCH DESIGN

10.  TStat

Frankfurt am Main

Biostatistics
Epidemiology
Econometrics
Finance
Social Science – Political Science
Public Health
Workshops
Summer Schools Training

11._Statistics.com online courses

 

12._(Under construction; to be continued)

Edited by: K. Dumicic