Master of Science in Statistical Data Analysis
master-na-masteropleiding
1 jaar 60 studiepunten
Faculteit Wetenschappen
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Over de opleiding
Programma
Informeer je
Vlot van start
Na je studies
Programma onder voorbehoud
| Cursus | Ref | MT1 | Semester | Taal | Lesgever | SP |
|---|---|---|---|---|---|---|
|
|
1
|
sem 1
|
en
|
Els Goetghebeur
|
6
|
|
|
|
1
|
sem 1
|
en
|
|
3
|
|
Op te nemen: 36 studiepunten uit 1 major uit de onderstaande lijst.
Na goedkeuring door de faculteit.
| Cursus | Ref | MT1 | Semester | Taal | Lesgever | SP |
|---|---|---|---|---|---|---|
|
|
1
|
sem 1
|
en
|
|
3
|
|
|
|
1
|
sem 1
|
en
|
Els Goetghebeur
|
6
|
|
|
|
1
|
sem 1
|
en
|
Beatrijs Moerkerke
|
6
|
|
|
|
1
|
sem 2
|
en
|
Frederik De Keersmaeker
|
6
|
|
Op te nemen: hoogstens 15 studiepunten te selecteren uit de onderstaande lijst.
| Cursus | Ref | MT1 | Semester | Taal | Lesgever | SP |
|---|---|---|---|---|---|---|
|
|
1
|
|
|
|
5
|
|
|
|
1
|
sem 1
|
en
|
Gerdie Everaert
|
5
|
|
|
|
1
|
sem 1
|
en
|
Brecht Devleesschauwer
|
5
|
|
|
|
1
|
sem 1
|
en
|
Lieven Clement
|
5
|
|
|
|
1
|
sem 2
|
en
|
Els Goetghebeur
|
5
|
|
|
|
1
|
sem 2
|
en
|
Stijn Vansteelandt
|
5
|
|
|
|
1
|
sem 2
|
en
|
Stijn Luca
|
5
|
|
|
|
1
|
sem 2
|
en
|
Johan Steen
|
5
|
|
|
|
1
|
sem 1
|
en
|
Lieven Clement
|
5
|
|
|
|
1
|
sem 2
|
en
|
Els Goetghebeur
|
5
|
|
|
|
1
|
sem 2
|
en
|
Gerdie Everaert
|
6
|
|
|
|
1
|
sem 2
|
en
|
Koen De Turck
|
5
|
|
|
|
1
|
sem 2
|
en
|
Aleksandra Pizurica
|
3
|
|
Op te nemen: hoogstens 5 studiepunten uit 1 module uit de onderstaande lijst.
Op te nemen: hoogstens 5 studiepunten te selecteren uit het studieaanbod van de universiteiten van de Vlaamse Gemeenschap.
| Cursus | Ref | MT1 | Semester | Taal | Lesgever | SP |
|---|---|---|---|---|---|---|
|
|
1
|
sem 1
|
en
|
Tom Loeys
|
8
|
|
|
|
1
|
jaar
|
en
|
Dieter De Witte
|
5
|
|
|
|
1
|
sem 2
|
en
|
Aleksandra Pizurica
|
3
|
|
|
UKV
|
1
|
sem 1
|
en
|
Peter Dawyndt
|
5
|
|
|
|
1
|
sem 2
|
en
|
Antoon Bronselaer
|
5
|
|
Op te nemen: hoogstens 10 studiepunten te selecteren uit de onderstaande lijst.
| Cursus | Ref | MT1 | Semester | Taal | Lesgever | SP |
|---|---|---|---|---|---|---|
|
|
1
|
sem 2
|
en
|
Koen De Turck
|
5
|
|
|
|
1
|
sem 1
|
en
|
Lieven Clement
|
5
|
|
|
|
1
|
sem 2
|
en
|
Stijn Vansteelandt
|
5
|
|
|
|
1
|
sem 2
|
en
|
Els Goetghebeur
|
5
|
|
|
|
1
|
sem 2
|
en
|
Seppe vanden Broucke
|
6
|
|
|
|
1
|
sem 2
|
en
|
Chris Develder
|
6
|
|
Op te nemen: hoogstens 5 studiepunten uit 1 module uit de onderstaande lijst.
Op te nemen: hoogstens 5 studiepunten te selecteren uit het studieaanbod van de universiteiten van de Vlaamse Gemeenschap.
| Cursus | Ref | MT1 | Semester | Taal | Lesgever | SP |
|---|---|---|---|---|---|---|
|
|
1
|
jaar
|
en
|
|
15
|
|
Competentiegebied 1: Competentie in één of meerdere wetenschappen
- Have advanced knowledge of a wide range of statistical methods for designing studies and analysing data.
- Apply advanced knowledge of methods and techniques creatively to answer complex research questions.
- Use statistical software to perform data analyses.
- Interpret and critically assess statistical analyses.
- Understand the role of statistics in the Scientific Method.
- Demonstrate solid insight into state-of-the-art developments of at least one component of statistical data analysis.
- Develop a well founded roadmap for solving a statistical problem.
- Survey statistical theory, methods and techniques as reported in the scientific literature.
- Select adequate statistical methods and techniques for answering a specific research question.
- Use statistical analysis results to provide evidence based solutions for practical problems in an objective and scientific manner.
- Discover interconnections and novel points of view.
- Independently and critically reflect on one’s own thought process and translate this into thoughtful conclusions and adequate responses.
- Demonstrate an openness towards new scientific developments and their applications in broad scientific, economic or social context.
- Engage in lifelong learning.
- Independently recognise and resolve or prevent complex statistical problems.
- Take responsibility and initiative in a group effort for a range of statistical problems.
- Present one’s own research, ideas, thoughts and opinions clearly, respecting the intended audience, in written and oral form.
- Report accurately on the design, conduct, analysis, assumptions, limitations and conclusions of statistical studies, both in oral and written form, respecting the intended audience.
- Demonstrate professional behaviour, with an appropriate level of dedication, involvement, respect, accuracy, and tenaciousness.
- Handle data in a safe and ethical manner.
- Integrate social responsibility into professional activities.
- Promote the role of evidence as a basis for empirical research and policy making.
- Integrate a commitment to scientific integrity into professional activities.