Urban Science and Planning with Computer Science
The Urban Science and Planning with Computer Science Bachelor of Science program offers a comprehensive academic path for students interested in understanding how cities function through analytical, technological, and design-oriented perspectives. The curriculum blends rigorous computational training with knowledge of urban systems, enabling students to approach urban challenges using data analysis, modeling, and evidence-based methods. This interdisciplinary structure helps learners build the ability to interpret complex urban environments and evaluate strategies that support sustainable, efficient, and equitable city planning. By integrating computational perspectives directly into urban studies, the program fosters a deep understanding of how digital tools shape modern policymaking and infrastructure decisions.
Throughout their studies, students have the opportunity to participate in research, collaborate with faculty, and work on real-world projects that reflect the evolving needs of contemporary cities. Access to cutting-edge laboratories, planning studios, and technical resources allows learners to gain both theoretical grounding and practical experience that strengthen their professional readiness. The program’s emphasis on technological innovation, urban problem-solving, and interdisciplinary exploration prepares graduates to navigate emerging challenges in areas such as transportation systems, environmental planning, urban analytics, and civic technology. As city environments become increasingly data-driven, this academic foundation equips students to contribute meaningfully to the future of urban development.
Key information
Key Facts
- Program Title: Urban Science and Planning with Computer Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 06 January 2026
- Location: Massachusetts Institute of Technology (MIT), United States
- Field of Study: Computer Sciences
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Computing and Urban Systems
• Introduction to Urban Studies
• Fundamentals of Computer Science
• Calculus and Quantitative Reasoning
• Urban Data and Spatial Analysis
Year 2 – Core Urban Science & Computational Methods
• Systems Thinking for Cities
• Algorithms and Data Structures
• Geographic Information Science
• Urban Planning Institutions and Processes
Year 3 – Advanced Urban Analytics & Applications
• Urban Modeling and Simulation
• Machine Learning for Urban Systems
• Planning Studio / Applied Research
• Electives in Policy, Computation, or Urban Theory
Year 4 – Integration, Practice & Capstone
• Advanced Urban Systems Engineering
• Civic Technology and Digital Infrastructure
• Capstone Research Project
• Specialized Electives in Computing or Urban Studies
Career Opportunities
Graduates of this program pursue roles that require a strong combination of computational ability and urban systems knowledge, preparing them for positions in city planning agencies, transportation organizations, technology firms, and research institutions. Many work in areas involving urban analytics, data-driven planning, digital mapping, or infrastructure modeling, while others contribute to innovation in civic technology, smart city initiatives, and public policy analysis. The program also provides a solid foundation for those considering graduate study in planning, computer science, public policy, or related interdisciplinary fields where analytical expertise and urban insight are critical.
Why Choose This Program
This program is well-suited for students who want to engage with cities through a technologically informed lens and understand how computational tools transform the way urban problems are addressed. Its curriculum prioritizes analytic rigor, interdisciplinary thinking, and hands-on learning, enabling students to explore how data, modeling, and digital systems support better planning decisions. Learners gain access to faculty expertise, real-world projects, and research opportunities that build professional skills while encouraging innovative approaches to urban development. The combination of computing and urban science creates a versatile academic experience for those looking to shape the future of urban environments through meaningful, informed, and technologically supported solutions.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 617-253-1000
Email: admissions@mit.edu
Address: University of MIT, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
