You can look into our offer of courses and workshops in the academic year 2023-2024 in the following ways:.
- Below you can find the courses already somewhat categorised based on what they are primarily about.
- In the 'Browse courses' section you can search for courses using the search field or use the available filter.
Please note that, on the course pages, you will be able to fill out a notifcation form if a course is already full or if you missed an enrolment deadline. We will then notify you if you can take the place of someone who cancelled his or her attendance or when the course will be offered again another time.
In addition to our core curriculum course programme, the Graduate School organises the following complementary events throughout the year. These events are not ECTS credited, but can be very useful and interesting to attend throughout your trajectory:
- Challenges for supervisors (available for supervisors only)
- Conversations with the dean
- Onboarding sessions new PhD candidates
- PhD Alumni dialogue series
Important information mandatory courses PhD trajectory
The EUR doctoral regulations require a PhD candidate to take courses covering the following three mandatory topics during their trajectory:
- Professionalism and integrity in research
- Responsible research data management
- Open science
As from the academic year 2023-2024, our school has combined the latter two into one course: 'Open science and research transparency'. So to cover all three mandatory topics, it suffices to take the courses:
Professionalism and integrity in research
Open science and research transparency
Methodology and philosophy of science
- Action-oriented research for social change
- Discourse analysis
- Ethnography
- Philosophising your research
- Qualitative coding and analysis of textual data with ATLAS.ti
- Qualitative data analysis with Grounded Theory
- Qualitative interview techniques
- Quantitative and qualitative text analysis with MATLAB
- The focus group method
- Brush up your SPSS skills
- Data analysis with R
- Digital research methods for textual data
- Geographical Information Systems
- Large-scale register data for quantitative social research
- MATLAB: data skills & tools for the social sciences
- Multilevel modelling
- Quantitative and qualitative text analysis with MATLAB
- SICSS-ODISSEI Summer school on computational social science
- Structural equation modelling
- Survey design
Professional skills
- Data carpentry for social sciences and humanities
- How to manage your PhD project
- Making your research proposal work for you
- Open science and research transparency
- Responsible research data management (RDM)
- Safety and security for fieldwork research
- Share your work via the Open Science Framework
- Shut up and write!