Learning Outcomes

The learning outcomes are organised into five competence domains. Each learning outcome is covered by at least one course. The course specification files (see the UGent Program Catalogue) specifty the learning outcomes (final compentences) of the individual courses. 


Competence Domain I: competence in Statistical Data Analysis and related disciplines

M.1.1. Have advanced knowledge of a wide range of statistical methods for designing studies and analysing data.

M.1.2. Apply advanced knowledge of methods and techniques creatively to answer complex research questions.

M.1.3. Use statistical software to perform data analyses.

M.1.4. Interpret and critically assess statistical analyses.

M.1.5. Understand the role of statistics in the Scientific Method.

M.1.6. Demonstrate solid insight into state-of-the-art developments of at least one component of statistical data analysis.

 

Competence Domain II: scientific competence

M.2.1. Develop a well founded roadmap for solving a statistical problem.

M.2.2. Survey statistical theory, methods and techniques as reported in the scientific literature.

M.2.3. Select adequate statistical methods and techniques for answering a specific research question.

M.2.4. Use statistical analysis results to provide evidence based solutions for practical problems in an objective and scientific manner.

M.2.5. Discover interconnections and novel points of view.

 

Competence Domain III: intellectual competence

M.3.1. Independently and critically reflect on ones own thought process and translate this into thoughtful conclusions and adequate responses.

M.3.2. Demonstrate an openness towards new scientific developments and their applications in broad scientific, economic or social context.

M.3.3. Engage in lifelong learning.

M.3.4. Independently recognise and resolve or prevent complex statistical problems.

 

Competence Domain IV: competence in collaboration and communication

M.4.1. Take responsibility and initiative in a group effort for a range of statistical problems.

M.4.2. Present ones own research, ideas, thoughts and opinions clearly, respecting the intended audience, in written and oral form.

M.4.3. Report accurately on the design, conduct, analysis, assumptions, limitations and conclusions of statistical studies, both in oral and written form, respecting the intended audience.

M.4.4. Demonstrate professional behaviour, with an appropriate level of dedication, involvement, respect, accuracy, and tenaciousness.

 

Competence Domain V: competence in social responsibility

M.5.1. Handle data in a safe and ethical manner.

M.5.2. Integrate social responsibility into professional activities.

M.5.3. Promote the role of evidence as a basis for empirical research and policy making.

M.5.4. Integrate a commitment to scientific integrity into professional activities