Curriculum Overview

The MUSPP programme integrates three core focus areas to provide a comprehensive educational experience:

• Urban Theory Core Course provides students with a foundation in critical thinking about cities and the trajectories of urban development.
• Urban Data and Methods Core Courses equip students with quantitative and qualitative social research methodologies. The thematic elective track in Urban Analytics Track supplement the core methodology courses with elective courses in Geographic Information Science (GIS), Behavioural Science, and interactive data visualization.
• Urban Planning and Policy Core Courses teaches students to critically understand the bases of planning and policy in society, assess, analyse, and craft urban interventions and programmes that are thoughtful to multi-dimensional urban dynamics.

Course Overview

TERM 1
Required Courses

This course exposes students to foundational theories and key socio-economic processes and trends that have given shape and meaning to urban development across a number of time periods and cultural contexts. Through an emphasis on the historical and future drivers of change in cities, students will relate theories of the social and physical evolution of cities to structural change, social and political movements, technological advancements, and public policy that impacts urban systems more generally.

Instructor: Dr Jeffrey Chan
Time: Thursday (3-6pm)
Venue: Think Tank 13 (1.508)

Week 1: Introduction: What is urban theory?
Week 2: (Groundings) Capital and the City
Week 3: (Groundings) The Neoliberal City
Week 4: (Groundings) The Informal City
Week 5: (Perspective) The City of Strangers
Week 6: (Perspective) The City of Conflict
Week 7: Recess Week
Week 8: (Perspective) The City of AI
Week 9: (Vision) The Serendipitous City
Week 10:(Vision) The Sharing City
Week 11: (Vision) The Ethical City
Week 12: Workshop session—Writing Research Papers on the Built Environment
Week 13: Conclusion and Review of Group Presentations
Week 14: Conclusion and Review of Group Presentations (if required)

The Urban Data & Methods component of the MUSPP is composed of two courses – Part 1 on Analyzing Urban Futures and Part 2 on Interpreting Urban Trends: Urban Inequity, which will be taught in Term 1 and Term 2 respectively. The collective aim of these two courses is to equip students with methods and tools to undertake urban research and analyze urban trends that can inform the crafting of interventions for a better urban future. A key focus of the courses is deepening the understanding and skills to handle both quantitative and qualitative data, secondary and primary datasets through desktop and fieldwork. A major emphasis of the courses is learning to apply social science methodologies and tools to the study of the urban realm.

Instructors: Dr Xin Yang, Dr Qian Huang, Dr Thijs Willems
Time: Thursday (10am-1pm)
Venue: Think Tank 11-12 (1.503)

QUANTITATIVE METHODS:

Week 1: Introduction & Urban Indicators
Week 2: Demographic Profiles & Census Data
Week 3: Population Projections
Week 4: Economic Analysis
Week 5: Survey Design & Sampling
Week 6: Bivariate Measures of Association
Week 7: Recess week

QUALITATIVE METHODS:

Week 8: Philosophy of Science & Art of Asking Questions
Week 9: Qualitative Interview
Week 10: Ethnography & Observation
Week 11: Design Thinking & Design-Based Research
Week 12: Qualitative Data Analysis & Reflections
Week 13 & 14: Neighbourhood Profile Presentation

This course introduces the historical and contemporary bases of urban planning as a process and practice, with a focus on developing a socio-spatial mind in approaching urban interventions critically and practically. It is designed to equip students to understand the scope of urban planning in the development of cities and regions, and how urban planners think and make decisions about land use and design of public places to meet social, economic, political, and environmental goals.

A core pedagogic aim of the course is the emphasis of how theories and histories of planning translate in practice. For this purpose, the course is interspersed with opportunities to get you out of the comfort of the armchair and into the city as a live laboratory in which you will observe, document, and analyze the actual dynamics of city making, vis-à-vis what has been theorized and written about urban planning.

As part of the integrative MUSPP programme curation, this course will help students learn about how the urban realm is scientifically studied and investigated and forms a part of planning research that informs urban planning and policy decisions.

Instructor: Dr Felicity Hwee-Hwa Chan
Time: Wednesday (2-5pm)
Venue: Think Tank 1 (1.308)

Week 1: Introduction: Planning Education
Week 2: Setting the Context: What is Urban, Urbanization, and Urbanism?
Week 3: Emergence of Modern Urban Planning
Week 4: Urban Planning in Singapore 1
Week 5: Urban Planning in Singapore 2
Week 6: “Asian” Urbanism
Week 7: Recess week
Week 8: Socio-spatial Thoughts and Implications for Urban Planning
Week 9: Looking at a city in flux: Alone and Together
Week 10: Urban Planning Practice 1: Values, Politics, Institutions
Week 11: Urban Planning Practice 2: Negotiation
Week 12: Workshop on Urban Change
Week 13 & 14: Reflections on urban planning: Digital, Smart, and Inclusive?

Electives (1)

The term “resilience” has been applied in various fields, including ecology, biology, psychology, urban planning, and international politics. This course examines the theoretical framework and practical application of resilience building within the dimension of urban planning and policy.

The course can be divided into two main sections: introductions to climate change, disaster, and adaptation; and thematic topics of vulnerability, adaptation, and resilience. Topics include climate change, vulnerability, justice, governance, participatory planning, local knowledge, and community resilience. In addition to discussing concepts, techniques, and tools, case studies with a reflective focus will be used to describe a variety of opportunities and challenges facing precarity. As a research seminar, students will be active participants through photography presentations, oral discussions, fieldwork, and analytical essays to reflect and present the depth and breadth of knowledge and insights to the class on resilient cities.

Instructor: Dr Cai Yanjun
Time: Tuesday (10am-1pm)
Venue: Think Tank 11-12 (1.503)

Week 1: Course Outline and Introduction
Facing Climate Change and Disasters: Principles, Directions, & Impacts
Week 2: Vulnerability
Week 3: Adaptation
Week 4: What is Resilience
Week 5: Toward Community Resilience
Week 6: Planning Resilient Cities
Week 7: Recess Week
Week 8: Participatory Climate Resilience
Week 9: Social Capital and Resilience
Week 10: Disaster Social Media
Week 11: Resilience and Resistance
Week 12: Visioning Resilience
Week 13: Imagining Your Resilient City and Class Reflection
Week 14: Follow-up and Class Reflective Essay

This course provides students in technology and design with comprehensive knowledge on finance for urban development and management by introducing a range of terms, vehicles, instruments, schemes, and implementations along theoretical frameworks and real-world scenarios. The entire course work consists of three large sections: (I) public challenges; (II) private initiatives; and (III) social technologies. This means that the topics of urban finance covered by this course are not only the fundamentals of conventional government finance for public resource allocation, social wealth distribution, and market stabilization (e.g., market failures, public goods, tax policy, intergovernmental transfers, fiscal decentralization, and interjurisdictional coordination) but also the advancements of unconventional corporate, entrepreneurial, and social finance for competitive and sustainable urbanization (e.g., project finance and public-private procurement strategy, international financial markets and institutions, urban climate and green finance, land marketization and land value capture, real estate investment and asset securitization, and financial technology). The course takers are expected to acquire both hard and soft knowledge on urban finance through a few basic analytical exercises and international case studies for broader social applications and cooperative actions across sectors.

Instructor: Jin Murakami
Time: Monday (3-6pm), Venue: Think Tank 23 (2.413) or Thursday (8.30-11.30am), Venue: Think Tank 13 (1.508)

Week 1: Overview

SECTION I: PUBLIC CHALLENGES
Week 2: Public Goods & Public Finance
Week 3: Fiscal Decentralization & Municipal Finance
Week 4: Megaproject & Public Project Evaluation

SECTION II: PRIVATE INITIATIVES
Week 5: Privatization & PPP Models
Week 6: Corporate Finance & ESG Criteria
Week 7: No Class – Recess
Week 8: International Financial Markets & Institutions

SECTION III: SOCIAL TECHNOLOGIES
Week 9: Revenue Generation Schemes
Week 10: Real Estate Investment & Securitization
Week 11: Green Infrastructure & Climate Finance
Week 12: FinTech, Microfinance, SME Inclusion

FINAL
Week 13: Final Presentation
Week 14: Final Paper Submission & Follow-up Actions

This course focuses on the use of GIS (Geographic Information Systems) in the urban context, applying GIS tools and techniques for analysing, modelling, and visualizing geospatial data in urban environments. The most fundamental concepts and techniques in GIS and spatial data analysis are covered in this course, including data collection, data management, and data visualization. Additionally, specific applications of GIS in the urban studies will be taught, namely 3D mapping, basic space syntax segment modelling, and advanced spatial analysis.

Through a hands-on final project, students will learn how to apply more advanced forms of spatial analysis on real world problems such as understanding the relationship of geographic distribution of population and health system clusters planning. In class discussions will be linked to the final project relating the use of geospatial to:
1. Understanding population health through factors of the built environment
2. Dissecting the relationship between walkability and population health – identifying key factors and datasets that can be used to support this exploration
3. Querying and assessing the quality and value add of different datasets and sources (OSM, data.gov.sg etc) for POIs and infrastructure (clinics, road crossings, markets, senior centres etc).

The course is delivered as a combination of lectures and hands-on tutorials. Students will get to apply methods covered in the lectures during the tutorials and solve a geospatial problem through a final project.

Instructors: Dr Jingya Yan and Francine Chan
Time: Tuesday (2-5pm)
Venue: Online (Think Tank 23, 2.413)

Week 1: Introduction to GIS I
Week 2: Introduction to GIS II
Week 3: Cartographic Design I
Week 4: Cartographic Design II
Week 5: Advanced Spatial Data I: Spatial data management
Week 6: Advanced Spatial Data II: Spatial Data Processing
Week 7: Recess week
Week 8: Spatial statistics and analysis of vector data
Week 9: Spatial analysis of raster data
Week 10: Advanced Spatial Data III: Segment Analysis in Space Syntax
Week 11: Advanced Spatial Data IV: 3D Geospatial data in Urban studies
Week 12: Advanced Spatial Data V: Urban Studies and Applied GIS
Week 13: Final Project Tutorial
Week 14: Final Presentation

TERM 2
Required Courses

This course is Part 2 of the Urban Data & Methods module. The course seeks to develop students’ hands-on experience in developing a research proposal to study an urban issue or phenomenon. This involves conducting literature review, applying theories, designing data collection and analysis methods, and integrating into a mix-methods research proposal. Using urban inequity as a focal point, the course introduces and contextualises how different methodologies – quantitative, qualitative and mixed methods – can be used to analyse urban inequities within and across cities. It develops understanding and skill in the collection, analysis and interpretation of information relevant to inequity and how it affects urban societies from different points of view such as transportation and housing. Students will also learn how to address research ethics requirements.

By the completion of this course students will be able to:
• Understand key methods for analysing quantitative and qualitative data in urban development
• Develop a research question on urban inequity that is well informed by the literature review
• Propose data collection and analysis methods relevant to answer the research question
• Synthesis the above into a research proposal

Pre-requisite
02.521 Urban Data and Methods: Analyzing Urban Trends

Instructor: Xin Yang, Rafael Martinez, Felicity Chan
Time: Monday (3-6pm)
Venue: Think Tank 11 & 12 (1.503)

Week 1: Introduction to Urban Inequities
Week 2: Measuring Quality of Life: Theories and Quantitative Methods
Week 3: Transportation Equity: Theories and Quantitative Methods (Part 1)
Week 4: Transportation Equity: Theories and Quantitative Methods (Part 2)
Week 5: Housing Equity: Theories and Quantitative Methods (Part 1)
Week 6: Housing Equity: Theories and Quantitative Methods (Part 2)
Week 7: Recess week
Week 8 – 10: Urban Inequities and Qualitative Methods
Week 11: Introduction to Mixed Methods Research
Week 12: Doing Truthful and Quality Urban Research
Week 13: Presentation of Research Proposal

Singapore has been recognized as a successful and well-managed global city in numerous international rankings of cities. In particular, it is often used to illustrate the importance of good leadershjp and planning in urban development. This course will help students understand how Singapore approaches its urban challenges, such as housing, transport, environmental degradation, job creation and the management of diversity. Through the careful examination of these empirical, Singapore-specific issues including visits to relevant agencies and organizations, broader questions that will have direct relevance to the development processes of other cities will be raised.

Electives (2)

*Electives are not fixed and are subject to availability during term

This course teaches students the concepts, skills and techniques of online, interactive map design and data visualization. In doing so, it covers both the modern web development workflow and Javascript programming. These fundamental programming tools and techniques are mastered in an applied context of designing and building interactive visualizations. Apart from a foundational understanding of the building blocks of the modern web (HTML, CSS, Javascript), students learn to build visualizations using industry-standard Javascript libraries such as Leaflet and D3 through a series of lab-based assignments and projects. The course keeps a focus on the entire iterative design workflow throughout the semester and culminates in a final group project in which a sequence of prototypes leads to a final online, interactive data visualization.

Instructor: Chan Chi-Loong
Time: Tuesday (9am-12pm)
Venue: Think Tank 26 (2.514)

For far too long, the smart city has emphasized smart technology over smart people. With Gen AI, especially no-code Gen AI, we can finally move the emphasis back to smart citizens creating the future of the smart city.

This course is thus a hands-on course in turning insights into creations.

Every class will start with a discussion around the theory for and practice of leaders to design, build, and manage an economically competitive, socially inclusive, and technologically astute city and citizenry. These discussions span topics from strategy to stories, resilience to reskilling, and infrastructure to industrial revolution.

Following the discussion, students will apply what they learned, to hands-on work with the instructor(s) to push the frontiers of what citizens can create for the smart city using no-code Gen AI (and AI and other tech in general). We go beyond the simplistic – sometimes gimmicky – generation of text, code, images etc to embedding this task of generation into the process and system of designing solutions for people. Where available, these solutions will be tested against users and stakeholders with real needs, and a substantial portion of the grades will be based on how well those needs are met.

By the end of the course, we want to make possible what was once impossible (e.g. see Six Impossibles), and develop a sublime sophisticated new understanding of where smart cities are limited and/or limitless (e.g. Limit and Limitless).

Instructor: Poon King Wang

This course introduces graduate students to the emerging field of urban sustainability from a combined academic-practical perspective. The course provides students with the theoretical and methodological tools with which to explore the potential for a sustainable urbanism. Approaches to foster more sustainable and resilient forms of urbanization and urban life in different sectors of urban operation (i.e. building, energy, transportation, water, waste, food, etc.) will be introduced and evaluated.

Instructor: Dr Jennifer Li

Cities are the most complex of all human inventions. While majority of the world’s population live in cities, we know comparatively little about how we influence and are influenced by cities. Urban psychology operates in an interdisciplinary context as an application area of psychology in cities, exploring human perception, decision-making, and behaviour. This course will introduce urban psychology and its application to different urban issues, including health and well-being, sustainability and resilience.

Instructor: Samuel Chng
Time: Tuesday (9am-12pm)
Venue: Think Tank 11 & 12 (1.503)

Week 1: Introduction to Urban Psychology I
Week 2: Introduction to Urban Psychology II: Social Psychology
Week 3: Introduction to Urban Psychology III: Environmental Psychology
Week 4: Introduction to Urban Psychology IV: Health Psychology
Week 5: Introduction to Urban Psychology V: Transdisciplinary
Week 6: Urban Psychology in Practice – Why?
Week 7: Term break
Week 8: Urban Psychology in Practice – What?
Week 9: Urban Psychology in Practice – How?
Week 10: The Complexity of Human Behaviour in Cities
Week 11: Data, data, data: Communicating findings effectively
Week 12: Moving from ideas, to theories, to data, to practice
Week 13 & 14: Conclusion and project presentations

TERM 3
Required Courses
The final term is dedicated for students to complete a Masters Research Project. Students have a choice of two tracks: Group Research Project or Individual Research Project. Students will have to declare their chosen track by the middle of Term 2. More details on the Master Research Project will be shared in Term 2.