M.Sc. Statistics

  • On Campus, Online
  • 24 months
  • EUR1951 per Year (International

    Tuition fee for the international students.

    )
    EUR1951 per Year (EEA

    European Economic Area tuition fee is applicable to the students from EU countries, Iceland, Liechtenstein, Norway and Switzerland.

    )
  • English ( Take IELTS test or Find a course )
Hasselt University | Hasselt, Belgium
The need for well-trained biostatisticians, bio-informaticians, and epidemiological and public-health scientists is ever increasing, enhanced by the scientific revolution in molecular biology and genetics, its impact on health and the environment, as well as by the availability of ‘big data’ and progress in data science. Hasselt University’s Master of Statistics with specialisations in Biostatistics, Bio-informatics and Epidemiology & Public Health Methodology, keeps abreast of such evolutions. The master programme combines a solid study of principles of applied and biostatistics with up-to-date information on topics such as clinical trials, public health, longitudinal data, survival analysis, genetics, survey methodology, etc. The specialisation in Bioinformatics makes it possible to keep an even closer pace with the more specific professional needs and skills required due to the development of novel experimental techniques in molecular biology and genetics.

Description

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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 specializations:

  • Bioinformatics
  • Biostatistics
  • Biostatistics ICP
  • Epidemiology & Public Health Methodology

Detailed Course Facts

Application deadline February 1 : Non EU; September 1: EU
Tuition fee
  • EUR 1951 per year (International

    Tuition fee for the international students.

    )
  • EUR 1951 per year (EEA

    European Economic Area tuition fee is applicable to the students from EU countries, Iceland, Liechtenstein, Norway and Switzerland.

    )

The fee 'outside EEA' includes an obligatory insurance fee. All amounts are subject to annual changes.

Start date
Credits (ECTS) 120 ECTS
Duration full-time 24 months
Delivery mode On Campus, Online
Educational variant Full-time

Course Content

Advantages of the Master of Statistics: Biostatistics

In the specialisation 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 specialisation 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.

Advantages of the Master of Statistics: Bioinformatics

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.

Advantages of the Master of Statistics: Epidemiology and Public Health Methodology

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

Biostatistics:

Semester 1

  • Concepts of probability and statistics
  • Regression
  • Analysis of variance
  • Data management in statistics
  • Statistical software
  • Optional subject
  • Learning from data (group project)
  • Assessment

Semester 2

  • Non-parametric methods
  • Correlated and multivariate data
  • Discrete data analysis
  • Concepts of Bayesian inference
  • Disease mapping
  • Optional subject
  • Discovering associations (group project)
  • Assessment

Bioinformatics:

Semester 1

  • Concepts of probability and statistics
  • Regression
  • Analysis of variance
  • Molecular biology
  • Computer programming
  • Concepts of bioinformatics
  • Learning from data (group project)
  • Assessment

Semester 2

  • Non-parametric methods
  • Correlated and multivariate data
  • Discrete data analysis
  • Concepts of Bayesian inference
  • Database management
  • Discovering associations (group project)
  • Optional subject
  • Assessment

Epidemology & Public Health Methodology

Semester 1

  • Concepts of probability and statistics
  • Regression
  • Analysis of variance
  • Data management in statistics
  • Optional subject
  • Learning from data (group project)
  • Statistical software
  • Assessment

Semester 2

  • Non-parametric methods
  • Correlated and multivariate data
  • Discrete data analysis
  • Concepts of Bayesian inference
  • Survey methods
  • Optional subject
  • Discovering associations (group project)
  • Assessment

English Language Requirements

Take IELTS test

Requirements

All applicants should hold a university diploma equivalent to a bachelor degree in mathematics, statistics, computer science, biology, physics, chemistry. For other bachelor degrees, the Admission Board will consider the applications individually.

In addition to the standard admission requirements (www.uhasselt.be/International-master-students), you should:

  • hold a bachelor degree in: mathematics, physics, computer sciences, chemistry, biology, life sciences, (bio, business, civil)-engineering, medicine, sociology, psychology, artificial intelligence, biotechnology, etc. with a basic but sufficiently strong background in mathematics and statistics. The Examination Board will consider each application individually and admission can be given directly, conditionally or indirectly after finalization of a preparatory programme.
  • hold an academic bachelor obtained from a Belgian university, in mathematics, physics, computer sciences, chemistry, biology, life sciences, bio-, business-, civil engineering to be directly admitted.
The Examination Board of the programme will evaluate each application individually as regards the applicant's academic record. Depending on the diploma obtained previously, students may have to enrol in a preparatory programme.

Work Experience

No work experience is required.

More Information

Accreditation

Accredited by the prestigious 'Royal Statistical Society'

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Hasselt University, Belgium

Belgium Hasselt University is an innovative university which has a pronounced international orientation. Founded in 1971, it is the youngest university in Belgium. Hasselt University stands for excellence in education, top research in spearhead fields and active commitment to innovation and entrepreneurship. The overall objective is to combine academic excellence with economic and social relevance.

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