From the academic year 2014-2015 onwards, the Master of Statistics has been gradually offered as Distance Learning (DL) Program, next to and in parallel with the on-campus program.

Enrolling for the DL Program means that as a student you will take the program from a distance, i.e. from home, workplace or virtually any place with access to the internet.

The on- and off-campus program are offered in parallel, synchronized as far as practically feasible, and with maximal flexibility. It will be possible to switch between the on-campus and off-campus programs.

The content and learning outcomes within and across courses are identical.

In practice, the study load has proven to be too heavy to combine the full-time program (60 credits) with a job. Combining a part-time program of 30 credits with a (part-time) job is expected to be feasible.

Assessment and Examination

One of the principles we are bearing in mind when setting up the Distance program is to keep it as close to the On-Campus program as possible, not only its content and teaching methods but also the way of assessing students. Hence, at this stage of the implementation, examinations will be held for all student on campus.

Travel and accommodation expenses are to be fully financed by the student himself, without any exception. Some basic practical assistance (essentially, contacts of youth hostels and hotels in the neighborhood) is offered by our administrative offices.

There are in principle two options. One option is to participate in all exam sessions, after each semester (January and June), and if necessary, in the re-examination period (mid-August - first week of September). If not feasible you could opt for the possibility to take all exams in the August-September period.

This latter option, however, is not recommended, as the exam schedule will be very loaded and moreover, this option does not allow you to retake an exam within one academic year.

Students can choose between a specialization in:

  • Biostatistics / ICP Biostatistics
  • Bioinformatics
  • Epidemiology and Public Health Methodology

Admission Requirements

Diploma requirements

Students should hold at least a university diploma or degree certificate or a diploma of higher education equivalent to a bachelor degree (180 ECTS credit points).

Admission can be given directly, conditionally or indirectly after finalization of a preparatory programme.

  • Holders of an academic bachelor obtained from a Belgian university, in mathematics, physics, computer sciences, chemistry, biology, life sciences, bio-, business-, civil engineering is admitted directly.
  • Applications of holders of a bachelor degree in mathematics, physics, computer sciences, chemistry, biology, life sciences, bio-, business-, civil engineering, medicine, sociology, psychology, artificial intelligence, biotechnology with a basic but sufficiently strong background in mathematics and statistics from other universities will be evaluated individually by the Examination Board of the programme concerning the applicant’s academic record.

Depending on the diploma you obtained previously, you may have to do a preparatory programme.

Language requirements

Candidates who wish to register in an English language master’s programme have to demonstrate a good command of English, both written and spoken. English language skills need to be confirmed by a recent score on the Test of English as Foreign Language (TOEFL) or the International English Language Testing System (IELTS) or any recognized proficiency test.

  • a TOEFL score report (paper-based: score 550 or more, computer-based: score 213 or more, internet-based: score 79¬80).
  • IELTS certificate (overall band score 6.0).

The English Language Test can be waived on the basis of an interview or if English language proficiency is proven otherwise (e.g. if education or part of it was in English or if English is a national language in your home country).

Program taught in:
  • English

See 4 more programs offered by Hasselt University »

This course is Online
Start Date
Sep 2019
Duration
2 years
Part-time
Full-time
Price
Deadline
By locations
By date
Start Date
Sep 2019
End Date
Application deadline
Start Date
Sep 2019
End Date
Application deadline

Sep 2019

Location
Application deadline
End Date
Location
Application deadline
End Date

Teacher Stories: Tomasz Burzykowski (Professor Biostatistics/Statistical Bioinformatics )

Student Stories: Olajumoke Evangelina (Master of Statistics)

Student Stories: Daniel Olusoji (Master of Statistics)