PhD course guide2018 - 2019
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.
Need help to plan your course dates? Download the PhD course dates overview
Download our PhD course dates overview (PDF) for some assistance in planning your course dates.
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
Courses for beginning PhD candidates
- Doing the literature review
- English academic writing for PhD candidates
- Guided peer support for PhD candidates
- How to finish your PhD in time
- Making your research proposal work for you
- Professionalism and integrity in research
- Project management: doing less, but achieving more
- Responsible research data management (RDM)
- Searching, finding and managing your literature
- Security for fieldworkers
- Self-presentation: presenting yourself and your research
- Visual exploration of scientific literature with VOSviewer
Methodology courses and philosophy of science
- Brush up your research design
- Brush up your SPSS skills
- Comparing nations in quantitative studies
- Data analysis with R
- Data visualisation, web scraping, and text analysis in R
- Diary studies
- Digital research methods for textual data
- Doing ethnography
- Great thinkers of the 20th century
- 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)
- Philosophy of the social sciences and the humanities
- Photovoice
- Q-methodology
- Qualitative coding with ATLAS.ti
- Qualitative comparative analysis (QCA)
- Qualitative data analysis (QDA)
- Qualitative interviewing
- Research synthesis and meta-analysis
