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On this page you can find an overview of the VLIR-UOS funded International Training Programmes and the International Master Programmes.
The leaflet and poster about the scholarships from VLIR-UOS intake 2011 can be downloaded at the bottom of this page. |
Period: September 2010 - September 2013 Language: English Number of VLIR-UOS Scholarships: 16 Promoter: Prof. P. Janssen (UHasselt)
| Contact: Mrs M. Machiels Centre for Statistics Hasselt University T +32 (0)11 26 81 76 F +32 (0)11 26 82 99 martine.machiels@uhasselt.be http://www.censtat.uhasselt.be
| Programme content
This two-year programme provides sound training in modern statistical methodology with a focus on the design and analysis of biomedical and epidemiological studies.
The following compulsory courses are taught as part of this international programme: Concepts of Probability and Statistics; Regression; Analysis of Variance; Nonparametric Methods; Correlated and Multivariate Methods; Principles of Statistical Inference; Foundations of Linear Models; Applied Data Modelling; Medical Biology; Multivariate Data Analysis; Longitudinal Data Analysis; Epidemiology; Genetic Epidemiology; Survival Data Analysis; Clinical Trials.
The following courses are also offered: Data Management; Data Mining, Survey Methods; Computer Intensive Methods; Topics In Biometry, Bayesian Data Analysis; Modelling of Infectious Diseases, Topics in Epidemiology; Bioinformatics; Disease Mapping; Microbial Risk Assessment.
The programme puts strong emphasis on project work and the development of scientific writing skills. Typical projects are: Learning from Data; Discovering Associations; Longitudinal Data Analysis and Advanced Modelling Techniques.
The final part of the programme is a summer project: each student takes part in the ongoing statistical activities at a company, institute, laboratory, etc. The project is assessed on the basis of a scientific report presented orally. Admission requirements
All applicants should hold a university degree. Applications are primarily expected from candidates with a degree in a maths and/or statistics-oriented discipline. Graduates from fields like medicine, biology, agriculture and bioengineering may also be admitted, provided they can show good skills in maths and statistics. Type of diploma
Master degree
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