Spend a semester in a different city and learn to compare urban environments. The course teaches various research methods, from traditional case studies to innovative approaches, focusing on practical skills. You will engage in workshops and seminars to develop your own research proposals and apply comparative techniques.

Improve your interpersonal and communicative skills. Learn how to listen actively, communicate effectively, show empathy, and handle conflict. You will also gain experience working in diverse teams with peers from different research backgrounds.

Students follow two Thematic Electives (18 EC) taking place in period 2 and 3 of the first Semester. You can choose from the following electives: "A Crisis of democracy? Challenge(r)s in the 21st century", "Culture, Markets, Power", "Immigration, Precarious Labor and Segregation", "Race, Sex, and Postcolonial STS" and "The Politics of Sustainability: Environments, Cultures, Materials".

Learn to manage, analyse, and report data according to social science standards and ethics. You will gain hands-on experience with data exploration, visualisation, and reliability assessment, while also discussing legal and ethical issues. The course prepares you for advanced statistical analyses and complements other research-focused courses in the program.

Learn how to identify causal relationships in social science research using quantitative methods. The course covers different research designs, including randomized experiments, quasi-experimental approaches, and regression models, helping you understand and apply these techniques to uncover causal links between variables.

Learn to apply linear and logistic regression techniques to analyse causal relationships in social science data. You will explore methods for handling complex, nested data structures. The course combines lectures on statistical concepts with hands-on practice in computer labs. You will complete a final paper by applying these skills to a research question of your choice, using real-world datasets.

Students choose one Methods Elective of 6 EC in period 5 of year one. You can choose from the following electives: "Experimentation in the Social Sciences", "Big Data and Automated Content Analysis", "Computational Social Science Analysis", "Content Analysis" and "Policy Oriented Research".

Spend a semester in a different city and learn to compare urban environments. The course teaches various research methods, from traditional case studies to innovative approaches, focusing on practical skills. You will engage in workshops and seminars to develop your own research proposals and apply comparative techniques.

Improve your interpersonal and communicative skills. Learn how to listen actively, communicate effectively, show empathy, and handle conflict. You will also gain experience working in diverse teams with peers from different research backgrounds.

Students follow two Thematic Electives (18 EC) taking place in period 2 and 3 of the first Semester. You can choose from the following electives: "A Crisis of democracy? Challenge(r)s in the 21st century", "Culture, Markets, Power", "Immigration, Precarious Labor and Segregation", "Race, Sex, and Postcolonial STS" and "The Politics of Sustainability: Environments, Cultures, Materials".

Learn how data collection, analysis, and interpretation are interconnected in qualitative research This course focuses on interpreting qualitative data, exploring different approaches like deductive, inductive, and abductive methods. It also covers the use of software like ATLAS.ti to support data interpretation.

Explore various ethnographic methods for qualitative research, such as participant observation and interviewing, while emphasizing the importance of researcher positionality and self-reflection. You will learn about topics like relational aspects of fieldwork, collaborative methods, and ethics. The course includes expert guest lectures and offers flexibility in assignments to match your interests.

Get introduced to the key aspects of research design through discussions, workshops, and practical exercises. You will develop your own research ideas and create an individual research proposal, covering elements like research questions, methods, relevance, and time management.

Students choose one Methods Elective (6 EC) in period 5 of year one. You can choose from the following electives: "Analyzing talk and language: Discourse and Conversation analysis" and "Policy Oriented Research".

Spend a semester in a different city and learn to compare urban environments. The course teaches various research methods, from traditional case studies to innovative approaches, focusing on practical skills. You will engage in workshops and seminars to develop your own research proposals and apply comparative techniques.

Improve your interpersonal and communicative skills. Learn how to listen actively, communicate effectively, show empathy, and handle conflict. You will also gain experience working in diverse teams with peers from different research backgrounds.

Students follow two Thematic Electives (18 EC) taking place in period 2 and 3 of the first Semester. You can choose from the following electives: "A Crisis of democracy? Challenge(r)s in the 21st century", "Culture, Markets, Power", "Immigration, Precarious Labor and Segregation", "Race, Sex, and Postcolonial STS" and "The Politics of Sustainability: Environments, Cultures, Materials".

Students have to choose between the electives 'Interpreting Qualitative Data' and 'Research skills: Ethnography & Beyond'.

Learn to manage, analyse, and report data according to social science standards and ethics. You will gain hands-on experience with data exploration, visualisation, and reliability assessment, while also discussing legal and ethical issues. The course prepares you for advanced statistical analyses and complements other research-focused courses in the program.

This course covers the basics of mixed methods research design, combining qualitative and quantitative data to improve research findings. Students will evaluate the strengths and weaknesses of both approaches and learn to design their own mixed methods studies. The course includes critical readings, practical examples, and hands-on design exercises.

Students choose one Methods Elective of 6 EC in period 5 of year one. You can choose from the following electives: "Experimentation in the Social Sciences", "Big Data and Automated Content Analysis", "Computational Social Science Analysis", "Content Analysis" and "Policy Oriented Research".