Urban Research Methods
February 7, 2026
Course Overview
This course provides a comprehensive introduction to research methods used in urban studies, combining both qualitative and quantitative approaches. Students will learn to design research projects, collect and analyze data, and communicate findings effectively.
Learning Objectives
By the end of this course, students will be able to:
- Design rigorous urban research projects
- Apply appropriate qualitative and quantitative methods
- Conduct fieldwork and collect primary data
- Analyze spatial and demographic data
- Present research findings to diverse audiences
Course Structure
Module 1: Foundations of Urban Research
Weeks 1-2
- Introduction to urban research paradigms
- Research design and question formulation
- Ethics in urban research
- Literature review methods
Module 2: Qualitative Methods
Weeks 3-5
- Ethnographic fieldwork
- In-depth interviews and focus groups
- Participant observation
- Qualitative data analysis (coding, thematic analysis)
Module 3: Quantitative Methods
Weeks 6-8
- Survey design and implementation
- Descriptive and inferential statistics
- Spatial data analysis and GIS
- Data visualization techniques
Module 4: Mixed Methods & Integration
Weeks 9-10
- Combining qualitative and quantitative approaches
- Case study methodology
- Comparative urban research
- Triangulation strategies
Module 5: Research Communication
Weeks 11-12
- Writing research reports
- Creating policy briefs
- Data visualization and mapping
- Presenting to stakeholders
Course Materials
Required Readings
- Selected chapters from leading urban research methodology texts
- Recent journal articles from Urban Studies, Cities, and related journals
- Case studies from global cities
Tools & Software
- QGIS (free, open-source GIS software)
- R or Python (for statistical analysis)
- Qualitative analysis software (introduction to NVivo or ATLAS.ti)
Assessment
- Research proposal (20%): Design a small urban research project
- Fieldwork exercise (20%): Conduct interviews or observations
- Data analysis assignment (20%): Analyze provided or collected data
- Final research project (30%): Complete small research study
- Class participation (10%): Discussion and peer feedback
Prerequisites
- Basic understanding of cities and urban issues
- Familiarity with social science research (helpful but not required)
- Willingness to engage with both theoretical and practical content
Format
- Online, asynchronous with weekly modules
- Live sessions (optional): Bi-weekly Q&A and discussion
- Cohort-based learning with peer collaboration
- Instructor support via discussion forums and office hours
Interested in this course? Contact me for information about the next cohort and enrollment details.