Graduate, Postgraduate and Doctoral Level Studies and Courses in Statistics (list not finalized yet)
1._Graduate Programmes: European Master of Official Statistics (EMOS)
The European Master in Official Statistics (EMOS) is a network of Master programmes providing post-graduate education in the area of official statistics at the European level. EMOS is a joint project of universities and data producers in Europe. After two calls for interest, the network comprises over 20 programmes in 14 countries.
EMOS was set up to strengthen the collaboration within academia and producers of official statistics and help develop professionals able to work with European official data at different levels in the fast-changing production system of the 21st century. The EMOS Master degree is based on learning outcomes which familiarise the graduates with the system of official statistics, production models, statistical methods and dissemination.
Universities offering EMOS Master degrees collaborate actively with the national statistical institutes to reduce the gap between theory and practice. Pertinent topics for Master thesis, internship in the area of official statistic, EMOS workshops and webinars offer a relevant mix of skills and knowledge for tomorrow’s official statisticians.
2._Postgraduate Programme (professional) in CROATIAN:
—“Statističke metode za ekonomske analize i prognoziranje” (Faculty of Economics and Business, University of Zagreb, Croatia)
3._Graduate and Doctoral Programmes (In ENGLISH)
- Master in Statistical Techniques
- Doctor in Statatistics and Opertational Research
4._Graduate and Doctoral Programmes: Graduate 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:
2._Economic and Business Statistics,
3._Statistics for Social Sciences,
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:
2._Economic and Business Statistics,
3_Statistics for Social Sciences,
6._Mathematical Statistics and
5._FENStats: European Courses of Advanced Statistics ECAS
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.
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.)
- SurvMeth 625-Methods of Survey Sampling
- SurvMeth 614-Analysis Methods for Complex Sample Survey Data
- SurvMeth 616-Workshop in Survey Sampling
Students participating in the Sampling Program for Survey Statisticians (SPSS) enroll in only these three courses and are considered Fellows in the Program. The methods and the analysis courses may be taken without being a Fellow. The workshop is reserved only for Sampling Program Fellows and cannot be taken alone.
Leslie Kish International Fellowship
University of Essex: 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.
Newcastle University Digital Institute: EPSRC CDT in Cloud Computing for Big Data
Utrecht University (Department of Methodology and Statistics) and Statistics Netherlands (CBS, Department of Methodology)
2017 Summer School on Survey Design and Analysis
August, 14-18: Survey Research: Design, Implementation and Data Processing
This course covers the foundations of modern survey methodology and analysis. Topics covered include survey design, questionnaire construction and testing, different modes of data collection (including mobile surveys, online panels and mixed mode), basic survey analysis techniques such as non-response analysis and scale construction, and special issues in official statistics.
August, 21-25: Survey Research: Statistical Analysis and Estimation
This course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for prevention and adjustment for such errors. Analysis methods are introduced using both SPSS and R. Topics include measurement error, nonresponse adjustment, analysis of incomplete data and the analysis of complex surveys that include weighting, stratification and design effects. International comparative and longitudinal surveys are included, as well as how to deal with administrative data.
September 4-8: Advanced survey design
This 4-day course in survey design takes student beyond the introductory materials, and focuses on advanced issues in survey design. It combines short 1-hour lectures with exercises on most of the topics discussed. We assume course participants are proficient in working with either R or SPSS. The course is interesting for social scientists or statisticians at the PhD level or beyond, working on academic research projects. Topics include the use of big data and paradata in surveys, mixed-mode and mixed-device surveys, analysing textual data, and advanced issues in questionnaire design.
(Leibniz Institute for the Social Sciences, Cologne) GESIS Summer School in Survey Methodology
We are happy to announce the program of the 7th GESIS Summer School in Survey Methodology that will take place from 02-24 August 2018 in Cologne. Please find a full list of courses below.
The full program including detailed course descriptions will be online in March 2018 at training.gesis.org. Subscribe to our GESIS Training Courses Newsletter to receive an e-mail notification once registration for courses is open.
- Pretesting Survey Questions
- Research Designs and Causal Inference
- Introduction to Data Analysis Using Mplus
- Introduction to Data Analysis Using Stata
- Introduction to Survey Design
- Introduction to Structural Equation Modeling
- Introduction to Data Analysis Using R
- Introduction to Multiple Imputation
- Questionnaire Design
- Web Survey Instrument Design
- Mixed Mode and Mixed Device Surveys
- Designing, Implementing, and Analyzing Longitudinal Surveys
- Sampling, Weighting, and Estimation
- Open Science (Short Course, 20-21 Aug)
Detailed course descriptions will be available in March 2018 at training.gesis.org, where you can register for the courses of your choice.
BARCELONA SUMMER SCHOOL IN SURVEY METHODOLOGY 2018
Pompeu Fabra University
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 Training EU Kleebergstr. 8 60322 Frankfurt am Main
11._Statistics.com online courses
12._(Under construction; to be continued)