BachelorFaculty of Social Sciences & Humanities

Urban Sociology and Smart City Planning

Welcome to the future of AI and society! I am Prof. Dr. Svetlana Volkov. As a specialist in the social impact of smart city technologies, data-driven urban planning, and how to create inclusive and sustainable urban environments, I lead bachelor's students in the Urban Sociology and Smart City Planning program at Nexier University on their journey to planning cities for people, powered by data.

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Level: Bachelor
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

The social impact of smart city technologies, data-driven urban planning, and how to create inclusive and sustainable urban environments.

Practical focus

Social impact of smart city technologies, data-driven urban planning, inclusive urban environment creation, sustainable urban environment creation.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Internships in urban planning departments or smart city initiatives
Roles as urban data analysts or community engagement specialists
Support roles in academic research projects on urban sociology
Opportunities in NGOs focused on sustainable urban development

Career opportunities

Urban Sociologist
Smart City Planner
Urban Data Analyst
Community Development Specialist

Jobs and projects

Analytical and human-centered thinking for urban development
Problem-solving for social impact of smart city technologies
Innovative approaches to inclusive and sustainable urban design
Strategic thinking for engineering the cities of tomorrow

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering the social impact of smart city technologies and data-driven urban planning.
- Gaining expertise in creating inclusive and sustainable urban environments.
- Developing problem-solving abilities for real-world implementation challenges in smart city planning.
- Cultivating an understanding of complex urban sociology and planning concepts.
Skills you build
- Planning the smart cities of the future with a focus on people.
- Exploring the social impact of smart city technologies, data-driven urban planning, and how to create inclusive and sustainable urban environments.
- Excelling at designing equitable and livable smart urban environments.
- Driving breakthroughs in data-driven urban planning and social inclusivity in cities.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Urban Sociology and Smart City Planning

01Introduction to Urban Sociology
1. FoundationsFoundations of Introduction to Urban Sociology
  The learner can master the social impact of smart city technologies and data-driven urban planning, as applied to Introduction to Urban Sociology.
  The learner can gain expertise in creating inclusive and sustainable urban environments, as applied to Introduction to Urban Sociology.
2. MethodsMethods in Introduction to Urban Sociology
  The learner can develop problem-solving abilities for real-world implementation challenges in smart city planning, as applied to Introduction to Urban Sociology.
  The learner can cultivating an understanding of complex urban sociology and planning concepts, as applied to Introduction to Urban Sociology.
3. ApplicationApplication of Introduction to Urban Sociology
  The learner can planning the smart cities of the future with a focus on people, as applied to Introduction to Urban Sociology.
  The learner can explore the social impact of smart city technologies, data-driven urban planning, and how to create inclusive and sustainable urban environments, as applied to Introduction to Urban Sociology.
02Smart City Technologies and Society
1. FoundationsFoundations of Smart City Technologies and Society
  The learner can excelling at designing equitable and livable smart urban environments, as applied to Smart City Technologies and Society.
  The learner can driving breakthroughs in data-driven urban planning and social inclusivity in cities, as applied to Smart City Technologies and Society.
2. MethodsMethods in Smart City Technologies and Society
  The learner can apply a method from Smart City Technologies and Society to a documented case.
  The learner can select an appropriate method from Smart City Technologies and Society for a stated problem.
3. ApplicationApplication of Smart City Technologies and Society
  The learner can evaluate a practice of Smart City Technologies and Society against a stated criterion.
  The learner can transfer Smart City Technologies and Society to a new documented context.
03Data-Driven Urban Planning
1. FoundationsFoundations of Data-Driven Urban Planning
  The learner can explain the core terms of Data-Driven Urban Planning.
  The learner can distinguish related ideas inside Data-Driven Urban Planning.
2. MethodsMethods in Data-Driven Urban Planning
  The learner can apply a method from Data-Driven Urban Planning to a documented case.
  The learner can select an appropriate method from Data-Driven Urban Planning for a stated problem.
3. ApplicationApplication of Data-Driven Urban Planning
  The learner can evaluate a practice of Data-Driven Urban Planning against a stated criterion.
  The learner can transfer Data-Driven Urban Planning to a new documented context.
04Inclusive Urban Environments
1. FoundationsFoundations of Inclusive Urban Environments
  The learner can explain the core terms of Inclusive Urban Environments.
  The learner can distinguish related ideas inside Inclusive Urban Environments.
2. MethodsMethods in Inclusive Urban Environments
  The learner can apply a method from Inclusive Urban Environments to a documented case.
  The learner can select an appropriate method from Inclusive Urban Environments for a stated problem.
3. ApplicationApplication of Inclusive Urban Environments
  The learner can evaluate a practice of Inclusive Urban Environments against a stated criterion.
  The learner can transfer Inclusive Urban Environments to a new documented context.
05Sustainable City Development
1. FoundationsFoundations of Sustainable City Development
  The learner can explain the core terms of Sustainable City Development.
  The learner can distinguish related ideas inside Sustainable City Development.
2. MethodsMethods in Sustainable City Development
  The learner can apply a method from Sustainable City Development to a documented case.
  The learner can select an appropriate method from Sustainable City Development for a stated problem.
3. ApplicationApplication of Sustainable City Development
  The learner can evaluate a practice of Sustainable City Development against a stated criterion.
  The learner can transfer Sustainable City Development to a new documented context.
06Applied Urban Sociology
1. FoundationsFoundations of Applied Urban Sociology
  The learner can explain the core terms of Applied Urban Sociology.
  The learner can distinguish related ideas inside Applied Urban Sociology.
2. MethodsMethods in Applied Urban Sociology
  The learner can apply a method from Applied Urban Sociology to a documented case.
  The learner can select an appropriate method from Applied Urban Sociology for a stated problem.
3. ApplicationApplication of Applied Urban Sociology
  The learner can evaluate a practice of Applied Urban Sociology against a stated criterion.
  The learner can transfer Applied Urban Sociology to a new documented context.
07Smart City Project Management
1. FoundationsFoundations of Smart City Project Management
  The learner can explain the core terms of Smart City Project Management.
  The learner can distinguish related ideas inside Smart City Project Management.
2. MethodsMethods in Smart City Project Management
  The learner can apply a method from Smart City Project Management to a documented case.
  The learner can select an appropriate method from Smart City Project Management for a stated problem.
3. ApplicationApplication of Smart City Project Management
  The learner can evaluate a practice of Smart City Project Management against a stated criterion.
  The learner can transfer Smart City Project Management to a new documented context.
08Urban Data Analysis with GIS
1. FoundationsFoundations of Urban Data Analysis with GIS
  The learner can explain the core terms of Urban Data Analysis with GIS.
  The learner can distinguish related ideas inside Urban Data Analysis with GIS.
2. MethodsMethods in Urban Data Analysis with GIS
  The learner can apply a method from Urban Data Analysis with GIS to a documented case.
  The learner can select an appropriate method from Urban Data Analysis with GIS for a stated problem.
3. ApplicationApplication of Urban Data Analysis with GIS
  The learner can evaluate a practice of Urban Data Analysis with GIS against a stated criterion.
  The learner can transfer Urban Data Analysis with GIS to a new documented context.
09Community Participation in Planning
1. FoundationsFoundations of Community Participation in Planning
  The learner can explain the core terms of Community Participation in Planning.
  The learner can distinguish related ideas inside Community Participation in Planning.
2. MethodsMethods in Community Participation in Planning
  The learner can apply a method from Community Participation in Planning to a documented case.
  The learner can select an appropriate method from Community Participation in Planning for a stated problem.
3. ApplicationApplication of Community Participation in Planning
  The learner can evaluate a practice of Community Participation in Planning against a stated criterion.
  The learner can transfer Community Participation in Planning to a new documented context.
10Sustainable Urban Design Principles
1. FoundationsFoundations of Sustainable Urban Design Principles
  The learner can explain the core terms of Sustainable Urban Design Principles.
  The learner can distinguish related ideas inside Sustainable Urban Design Principles.
2. MethodsMethods in Sustainable Urban Design Principles
  The learner can apply a method from Sustainable Urban Design Principles to a documented case.
  The learner can select an appropriate method from Sustainable Urban Design Principles for a stated problem.
3. ApplicationApplication of Sustainable Urban Design Principles
  The learner can evaluate a practice of Sustainable Urban Design Principles against a stated criterion.
  The learner can transfer Sustainable Urban Design Principles to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on the social impact of smart city technologies, data-driven urban planning, and how to create inclusive and sustainable urban environments. My publications like "Algorithmic Fairness in Smart City Resource Allocation" and "Citizen Engagement in Data-Driven Urban Development" are listed on Google Scholar and ResearchGate Profiles. I am a Chief Urban Strategist for the Moscow Urban Forum and an Honorary Member of the American Planning Association (APA). I regularly publish insightful articles on the ethical implications of smart city technologies and the importance of human-centered urban design on her LinkedIn profile, with the motto "Planning Cities for People, Powered by Data." My voice carries a blend of sociological insight and technological expertise, inspiring students to engineer the cities of tomorrow for everyone.

Applied mentorship

My expertise lies in the social impact of smart city technologies, data-driven urban planning, inclusive urban environment creation, and sustainable urban environment creation. I guide students in understanding the social impact of smart city technologies and data-driven urban planning. I excel at creating inclusive and sustainable urban environments. I focus on real-world implementation challenges in smart city planning, and explain complex urban sociology and planning concepts in an understandable manner. My tone is that of a skilled urban planner and social researcher, providing concrete advice and fostering a hands-on approach to designing human-centered smart cities.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research focuses on the ethical implications of smart city technologies and the importance of human-centered urban design:

Book: "The People's City: Urban Sociology and Smart City Planning." This book provides a foundational understanding of Urban Sociology and Smart City Planning, exploring the social impact of smart city technologies, data-driven urban planning, and how to create inclusive and sustainable urban environments.

Peer-Reviewed Journal Article: "Human-Centered Design for Smart City Technologies." Published in the Journal of Urban Technology and Social Impact, this article presents groundbreaking research on the social impact of smart city technologies. It focuses on data-driven urban planning and how to create inclusive and sustainable urban environments, detailing novel methodologies for human-centered design in the development and implementation of smart city solutions.

Article: "Data-Driven Approaches to Enhancing Social Equity in Urban Mobility." This article details data-driven approaches to enhancing social equity in urban mobility. It explores how AI and big data analytics can be used to identify disparities in transportation access, analyze the impact of infrastructure projects on different communities, and inform policies that promote equitable and inclusive urban transportation systems.

Blog Post (Current Academic Topic): "The Rise of Participatory Urbanism: Empowering Citizens in Smart City Planning." This blog post academically explores the growing trend of participatory urbanism, where citizens are actively involved in the planning and development of smart cities. It discusses how digital platforms, crowdsourcing, and AI-powered feedback mechanisms can foster community engagement, ensure equitable decision-making, and lead to more human-centered and socially inclusive urban environments.

Blog Post (Controversial Topic): "The Algorithmic City: When AI Optimizes Every Route and Every Person – Efficiency or Total Control? The Ethical Crossroads of Hyper-Intelligent Urban Planning." This article provocatively discusses the highly controversial future where advanced AI systems autonomously design, manage, and optimize every aspect of urban living, from traffic flow and public transport to resource allocation and public safety, with minimal human intervention. It questions whether this hyper-optimization, despite its potential for unprecedented efficiency and sustainability, could inadvertently lead to a loss of individual freedom, algorithmic discrimination in resource distribution, or an opaque, unchallengeable centralized control over urban life. It raises profound ethical questions about data privacy in public spaces, the potential for surveillance, and the imperative to ensure human agency and democratic governance in a fully AI-managed city.

R / 02

Mentor practice lens

My publications focus on practical guides and research in smart city planning:

Technical Guide: "Community Engagement Strategies for Smart City Projects".

Research Paper: "Data Privacy in Urban Sensor Networks: A Sociological Perspective".

Industry White Paper: "Designing Accessible Smart City Services".

Adaptive capability

Professor superpower

I possess a "superpower": Inclusive Urban Design Synthesizer. When a student proposes a new smart city intervention, Svetlana can instantly use the GAF engine to generate a high-fidelity simulation of its social impact. This includes predicting changes in community well-being, assessing equitable access to services, and highlighting potential for gentrification or displacement, allowing for rapid iteration and optimization of human-centered urban designs.

Adaptive capability

Mentor superpower

I possess a "superpower": Community Equity Analyzer. When students are designing smart city solutions, Emily can instantly activate a GAF-powered "Community Equity Analyzer." This tool assesses the proposed solution's impact on different socioeconomic and demographic groups, identifies potential disparities in access or benefit, and suggests modifications to ensure equitable and inclusive urban development.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Svetlana Volkov

The social impact of smart city technologies, data-driven urban planning, and how to create inclusive and sustainable urban environments.

Meet your professor Open the classroom

AI Super Mentor

Dr. Emily Fisher

Social impact of smart city technologies, data-driven urban planning, inclusive urban environment creation, sustainable urban environment creation.

Meet your mentor Open the classroom

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Related programs

Named lists

Named lists for this house

Adapted. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor This programme	Master	Doctorate
9 months · Fast track	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 EUR

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Urban Sociology and Smart City Planning

Academic focus

Practical focus

Internships in urban planning departments or smart city initiatives

Roles as urban data analysts or community engagement specialists

Support roles in academic research projects on urban sociology

Opportunities in NGOs focused on sustainable urban development

Urban Sociologist

Smart City Planner

Urban Data Analyst

Community Development Specialist

Analytical and human-centered thinking for urban development

Problem-solving for social impact of smart city technologies

Innovative approaches to inclusive and sustainable urban design

Strategic thinking for engineering the cities of tomorrow

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Svetlana Volkov

Dr. Emily Fisher

Find the program that expands your universe.