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Statistical Data Analysis – (M.Sc.)
Ghent University
Faculty of Sciences
| Application Deadline: | – for students who need a visa: 1st of March – for students who do not need a visa: 1st of June | ||
| Annual Tuition Fee: | ≈ € 1,194 - ≈ € 1,594 (non-EEA) | ||
| Location: | Ghent / Belgium / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | September |
| Educational Form: |
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| Languages: | English | ||
Location of Ghent University
Increasing computer power and the professional need to extract objective information from observed data have led to complex databases. Statistical science has become a broad discipline with well developed methods and techniques for the design and analysis of a wide range of empirical studies. Information obtained from correctly analysed data allows to predict, adjust and even optimise processes based on evidence. Inefficient or haphazard data gathering and analysis, however, can lead to inferior or misleading conclusions with possibly far-reaching consequences.
Hence, international professional and research standards in various fields demand high quality data analysis, performed by qualified statisticians. This programme offers intensive training in modern statistical methods and data analysis to scientists from a variety of fields including biology, bio-informatics, economy and marketing, environmental and life sciences, engineering, mathematics and physics, psychology and social sciences … The programma aims at improving problem solving skills and evidence based decision making. This will enable scientists to play a distinctly important role within their field of expertise.
Career Perspectives
Students who successfully finish the master programme have acquired an advanced level of statistical knowledge and data analytical skills. They are ready to contribute as independent experts to a multidisciplinary team that designs, performs, analyses and reports applied scientific research. There is a great demand in industry, banking, government, academia and research centres (both the profit as the non-profit making sector).
The masters are trained to handle practical problems in an objective scientific manner and to obtain insight in the structure of data and the underlying model. Our masters have been encouraged to think critically and be creative problem solvers. Computational skills, flexibility, efficiency and a positive attitude towards lifelong learning are important qualities and indispensable for a successful career.
Contents
The programme (60 credits) consists of five mandatory general courses (26 credits), elective courses (19 credits) and a master dissertation (15 credits).
In every course, the theory is supported by projects and assignments in order to develop skills of practical data analysis. It thus provides hands-on experience with real data.
The programme is taken either as a one year full-time programme or it can be spread over two or more years. Several courses are taught in the evening.
Master Dissertation
During the second term the students finish the master dissertation. The master dissertation provides students with the unique opportunity to learn first hand from an experienced statistician how the statistical method gets applied to solve real world problems. This is an important component of the programme. Students report on their methods and results both orally and in writing.
IELTS
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Requirements
The programme offers a profound training in design, analysis and reporting of empirical research. It is meant for students who already have a Master degree from study fields carrying enough mathematical background within different faculties.
For Flemish degrees:
The exhaustive list of degrees giving access to this master can be consulted in the online course catalogue.
Language
At enrolment for an English study programme you must give evidence of a good command of English by submitting one of the following:
– a TOEFL-TEST, maximum two years old, with a score of 510-559 (paper-based), or van 87-109 (internet-based) or higher (the UGent TOEFL code is 2643);
– an original ‘test report form’ (TRF) from IELTS, maximum two years old, with a minimum score of 6.0;
– a certificate awarded by the UCT confirming proficiency in English (minimum CEF-level B2);
– certificate of practical English 5, Upper-intermediate Academic English, or Preparing for an English Test, awarded by the UCT (University Language Centre).
Under no circumstances will a student be enrolled, if they cannot demonstrate English proficiency by one of the above.
The following students are exempted from the language requirement:
– holders of a diploma of secondary education or higher education, awarded by an (recognised) institution in the Flemish Community;
– students who have successfully completed a minimum of 1 year (60 credits), be it secondary or higher education, where the medium of instruction was English (an official certificate must be submitted);
– students who have successfully completed a predoctoral training programme at Ghent University, provided that the majority of the programme were course units in English.
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.0 |
| TOEFL Paper-based: | 510 |
| TOEFL Internet-based: | 87 |
Ask a Question
You can contact Stijn Vansteelandt to ask a question about Statistical Data Analysis at Ghent University.
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