PhD course guide
2019 - 2020
Welcome to our 2019-2020 course guide!
On the left you find a list of all our courses in alphabetical order. Click on the course of your choice to enrol!
Other ways to access our programme:
- Use the categorised list below
- Use our course selector
- Download the PhD course guide brochure (download form)
- Pick up a hard copy of the brochure at Mandeville building T19-04
The Graduate School advises PhD candidates to enrol in close consultation with their doctoral supervisor. This ensures that the selected courses and workshops fit the Training and Supervision Plan (TSP). At least 30 ECTS in the TSP should be dedicated to PhD training. Also ensure to consult our enrolment policy before enrolling.
Can’t make up your mind?
Use the course selector!
Qualitative or quantitative data? Collecting or analysing? With over 40 courses in the Graduate School programme, it can be difficult to make the right choice. Therefore, we have created the course selector. Just answer a couple of questions in this online questionnaire and you will get a course suggestion.
Go to the course selector
Is the course full or did you miss the enrolment deadline? Always make sure to fill in the notification form! We will then be able to notify you on available spots (in case of cancellations) or new dates. These lists also give us an indication of the demand for a specific course so we may schedule new editions.
Not sure if you can participate?
Do note that the Graduate School adheres to a strict attendance policy. Upon enrolment you are expected to attend all sessions. If you wish to cancel your enrolment, fill in the cancellation form within the deadline. Cancellations via email are not valid. If you miss a session or cancel after the cancellation deadline, you will:
- be fined an administrative fee (up to € 200,--)
- receive no course certificate
- receive no ECTS credits
Process support
Methodology courses and philosophy of science
- Brush up your research design
- Brush up your SPSS skills
- Data analysis with R
- Data visualisation, web scraping, and text analysis in R
- Diary studies
- Digital research methods for textual data
- Doing ethnography
- Doing the (systematic) literature review
- How to get your article published
- Large-scale register data for quantiative social research
- Method of con/text analysis for interviews and other biographic data
- Mixed method research: How to combine diverse quantitative and qualitative methods
- Multilevel modelling 1: an introduction
- Multilevel modelling 2: multilevel structural equation modelling (SEM)
- Participatory action research (PAR)
- Photovoice
- Project management: doing less, but achieving more
- Q-methodology
- Qualitative coding with ATLAS.ti
- Qualitative comparative analysis (QCA)
- Qualitative data analysis (QDA)
- Qualitative interviewing
- Quantitative comparative studies
- Quantitative data collection with a questionnaire
- Research synthesis and meta-analysis
- Visual exploration of scientific literature with VOSviewer
Professional skills
- Analytic storytelling
- Basic security and safety course for field research in complex, remote and hazardous places
- English academic writing for PhD candidates
- Key skills for future supervisors 1: Communicating in an international setting
- Making an academic poster that stands out
- Professionalism and integrity in research
- Qualitative coding with ATLAS.ti
- Responsible research data management (RDM)
- Searching and managing your literature
- Self-presentation: Focus, structure, interaction and visualisation
- Shut up and write
