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Master of Statistics (specialisation Biostatistics)


About This Masters Degree

Course Description

The Master of Statistics is an international two-year master programme. Individual (Reduced) programmes are possible. Students are free to combine courses from different specializations to create your own profile. Requests should be formally submitted to the Examination Board, along with a clear motivation.

The need for well-trained applied statisticians, biostatisticians and bioinformaticians is ever increasing, enhanced by the scientific revolution in molecular biology and genetics, and its impact on health and the environment. The Master of Statistics at Hasselt University, with specializations in Biostatistics, Biostatistics ICP, Bioinformatics and Epidemiology & Public Health Methodology, keep abreast with such evolutions. The master programme combines a solid study of principles of applied and biostatistics with up-to-date training in topics such as clinical trials, public health, longitudinal data, survival analysis, genetics, survey methodology, etc. The specialization in Bioinformatics allows keeping an even closer pace with the more specific professional needs and skills required by the developments of the novel experimental techniques in molecular biology and genetics.

Students can choose between four specialisations:

Bioinformatics (120 ECTS)

The rapid evolution in scientific research in genomics and proteomics continuously requires new knowledge and skills. Besides a working knowledge of molecular biology, there is the need for a specialised knowledge of, and applied skills in database management, computer programming, statistical techniques and knowledge discovery & integration. The Master of Statistics: Bioinformatics prepares graduates in such a way that they:are able to design and analyse experiments aimed at obtaining genomic and proteomic data; possess the necessary knowledge and skills to develop, understand and create bioinformatics software tools and databases; become self-assured, independent and assertive professionals for whom analysing an issue, structuring information, working in international and multidisciplinary teams, conducting and chairing discussions and presenting ideas have become second nature.

Year 1 courses include:

- Concepts of probability and statistics
- Regression
- Analysis of variance
- Molecular biology
- Computer programming
- Concepts of bioinformatics
- Learning from data (group project)
- Non-parametric methods
- Correlated and multivariate data
- Discrete data analysis
- Concepts of Bayesian inference
- Database management
- Discovering associations (group project)
- Optional subject

Year 2 courses can be found on http://www.uhasselt.be/UH/Master-of-Statistics/Statistics-What-is-Statistics/(15124)-Master-of-Statistics-Programme.html

Biostatistics (120 ECTS)

In the specialization Biostatistics/Biostatistics ICP sound training in modern statistical methodology, necessary for the design and analysis of biomedical and epidemiological studies, is provided. Core biostatistics courses are Longitudinal Data Analysis, Survival Analysis, and Clinical Trials. The specialization in Biostatistics has a strong research orientation. The programme of students from developing countries, with a scholarship sponsored by the University Development Cooperation Section of the Flemish Interuniversity Council (VLIR-UOS), is adapted to their specific needs and interests in the Biostatistics ICP specialisation.

Year 1 courses include:

- Concepts of probability and statistics
- Regression
- Analysis of variance
- Data management in statistics
- Statistical software
- Optional subject
- Learning from data (group projects)
- Non-parametric methods
- Correlated and multivariate data
- Discrete data analysis
- Concpets of Bayesian interference
- Disease mapping
- Optional subject
- Discovering associations (group project)

Year 2 courses can be found on http://www.uhasselt.be/UH/Master-of-Statistics/Statistics-What-is-Statistics/(15124)-Master-of-Statistics-Programme.html

Biostatistics (ICP)

The specialization in Biostatistics is strongly research oriented. Sound training in modern statistical methodology, necessary for the design and analysis of biomedical and epidemiological studies, is provided.

The study programme of students from developing countries, with a scholarship sponsored by the University Development Cooporation Section of the Flemisch Interuniversity Council (VLIR-UOS), is adapted to their specific needs and interests in the specialization Biostatistics ICP.

More information about this ICP programme can be found on http://www.vliruos.be/en/project-funding/programdetail/international-course-programme-icp_3957/

Year 1 courses include:

- Concepts of probability and statistics
- Regression
- Analysis of variance
- Data management in statistics
- Statistical software
- Optional subject
- Learning from data (group projects)
- Non-parametric methods
- Correlated and multivariate data
- Discrete data analysis
- Concpets of Bayesian interference
- Topics in biometry
- Optional subject
- Discovering associations (group project)

Year 2 courses can be found on http://www.uhasselt.be/UH/Master-of-Statistics/Statistics-What-is-Statistics/(15124)-Master-of-Statistics-Programme.html

Epidemiology and Public Health Methodology (120 ECTS)

The specialization Epidemiology & Public Health Methodology offers a professionally-oriented programme with emphasis on epidemiology, modeling of infectious diseases and microbial risk assessment.

Year 1 courses include:

- Concepts of probability and statistics
- Regression
- Analysis of variance
- Data management in statistics
- Optional subject
- Learning from data (group projects)
- Statistical software
- Non-parametric methods
- Correlated and multivariate data
- Discrete data analysis
- Concepts of Bayesian interference
- Survey methods
- Optional subject
- Discovering associations (group project)

Year 2 courses can be found on http://www.uhasselt.be/UH/Master-of-Statistics/Statistics-What-is-Statistics/(15124)-Master-of-Statistics-Programme.html

Thesis projects

As part of the Master of Statistics program, one of the important requirements is that students prepare a Master Thesis. Typically, the master thesis involves working on a real-life project, in collaboration with a company, governmental office, or research organization. It may involve an on-site component. Such a project combines the proper selection and use of technical, statistical techniques, as well as the close collaboration and interaction with researchers from various fields. Evidently, this implies effective communication and other interpersonal skills.

The final result of such a master thesis project is a high-quality statistical report, introducing the problem and data, describing the methodology and the results. It also contains a careful discussion and concluding remarks. The report is defended in public at one of our graduation days.

Because it is envisaged that the project work focuses on real data problems in the context of ongoing activities in substantive fields, CenStat is looking towards companies or governmental and research organizations, interested in offering opportunities for our students and guiding them through the final steps of their education as statistician.

Career prospects

Over the years graduates have found positions in:
• biomedical research institutes
• pharmaceutical industry
• government
• healthcare
• academia (Ph D)
• ...

Entry Requirements

Applicants to this course should hold a bachelor degree in: mathematics, physics, computer sciences, chemistry, biology, life sciences, engineering, medicine, sociology, psychology, artificial intelligence, biotechnology, etc. with a basic but sufficiently strong background in mathematics and statistics. Holders of an academic bachelor obtained from a Belgian university, in mathematics, physics, computer sciences, chemistry, biology, life sciences, engineering will be directly admitted.A good command of English is required. This should be confirmed by a recent score on a TOEFL test (paper based: 550 or more/pc based: 213 or more/internet based: 79-80) or IELTS test (overall band score 6.0).

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