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Computer Science Urban Planning Jobs (NOW HIRING)

As a team of engineers, architects, designers, scientists, creators and a community of ... Manage and oversee planning projects, including timelines, budgets, and interdepartmental ...

As a team of engineers, architects, designers, scientists, creators and a community of ... Manage and oversee planning projects, including timelines, budgets, and interdepartmental ...

Environmental Planner II

Nashville, TN · Hybrid

$67K - $87K/yr

Bachelor's degree in Environmental Planning, Environmental or Biological Sciences, Urban Planning ... Excellent verbal, technical writing, and computer skills (especially with Microsoft Office) * Kind ...

Environmental Planner II

Nashville, TN · On-site

$67K - $87K/yr

Bachelor's degree in Environmental Planning, Environmental or Biological Sciences, Urban Planning ... Excellent verbal, technical writing, and computer skills (especially with Microsoft Office) * Kind ...

GIS Specialist I

Missouri City, TX · On-site

$44K - $66K/yr

Education, Experience, or Certification Bachelor's degree in Geography, Geospatial Science, GIS, Computer Science, Urban Planning, Engineering, Environmental Science, or a closely related field. One ...

... scientists, digital innovators, program and construction managers and other professionals ... AECOM's Northern California Environmental Planning & Permitting team is growing and seeking an ...

... scientists, digital innovators, program and construction managers and other professionals ... AECOM's Northern California Environmental Planning & Permitting team is growing and seeking an ...

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Computer Science Urban Planning information

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$21K

$70.7K

$125.5K

How much do computer science urban planning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for computer science urban planning in the United States is $70,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What is Computer Science Urban Planning?

Computer Science Urban Planning is an interdisciplinary field that combines principles of computer science, such as data analysis, modeling, and geographic information systems (GIS), with urban planning to design, manage, and improve urban environments. Professionals in this area use technology to analyze city data, simulate urban growth, optimize transportation systems, and enhance city infrastructure. This approach helps cities become more efficient, sustainable, and responsive to the needs of their residents.

What are the key skills and qualifications needed to thrive as a Computer Science Urban Planner, and why are they important?

To excel as a Computer Science Urban Planner, you need a solid background in urban planning concepts, spatial analysis, and computer science principles, often supported by degrees in urban planning, computer science, or geographic information systems (GIS). Familiarity with GIS software, data visualization tools, programming languages (such as Python or R), and urban simulation systems is typically required. Strong problem-solving abilities, communication skills, and collaborative mindset set top professionals apart in this interdisciplinary field. These skills enable effective integration of technology with urban planning strategies to create data-driven, sustainable urban environments.

What is the difference between Computer Science Urban Planning vs Civil Engineering?

AspectComputer Science Urban PlanningCivil Engineering
Required CredentialsBachelor's or Master's in Computer Science or Urban PlanningBachelor's or Master's in Civil Engineering
Work EnvironmentUrban development projects, software development, data analysisConstruction sites, infrastructure projects, design offices
Industry UsageCity planning agencies, tech firms, consultingConstruction companies, government agencies, engineering firms
Common Search/ComparisonYesYes

Computer Science Urban Planning focuses on integrating technology and data analysis into city development, while Civil Engineering emphasizes designing and constructing physical infrastructure. Both roles often collaborate but differ in their core skills and work environments.

How do computer science professionals collaborate with urban planners to develop smart city solutions?

Computer science professionals working in urban planning teams often collaborate closely with urban planners, civil engineers, and data analysts to design and implement smart city solutions. This collaboration involves integrating data-driven approaches, such as geographic information systems (GIS), sensor networks, and predictive analytics, to optimize city infrastructure and services. On a typical project, computer scientists may be responsible for developing algorithms, managing large datasets, and creating visualization tools, while also participating in interdisciplinary meetings to ensure solutions meet the needs of urban populations. Such roles require strong communication skills and adaptability, as projects often evolve based on stakeholder feedback and emerging technologies.
Infographic showing various Computer Science Urban Planning job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $70,726 per year, or $34 per hour.
Lecturer in Urban Science and Planning

Lecturer in Urban Science and Planning

Massachusetts Institute of Technology

Cambridge, MA • On-site

Full-time

Posted 29 days ago


Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

31st of 534 rated colleges and universities


Job description

Description
Over the past decades the Department of Urban Studies and Planning (DUSP) and the Department of Electrical Engineering and Computer Science (EECS) at MIT have developed a strong research and teaching agenda focused on understanding the role of information technologies, data, sensors and networks in the planning and development of urban environments. We have also developed new technologies and tools to model, envision and communicate information about the city. We have recently established a new joint undergraduate major in urban and computer science as well as New Engineering Education Transformation (NEET) thread in Digital Cities of which this position would be central. In addition, MIT has created a new College of Computing, which requires the development of new collaborations between DUSP and other computing researchers. We are searching for candidates who can build on and extend this agenda through teaching involving advanced information systems and analytics, communication and media, and/or simulation technologies related to urban planning and computer science.
Full-time participation in educational activities during the academic terms (Fall, Independent Activities Period, and Spring including: Interacting with students and faculty by lecturing, leading recitations, problem sets, or staffing lab and office hours. Creating curricula content, such as lecture materials, problem sets, quizzes, videos, and other online materials. Also Carrying out administrative and advising responsibilities. Research opportunities might arise, such as co-supervision of undergraduate or master's projects.
Qualifications
A Ph.D. or Master's Degree in areas related to responsibilities (e.g. Urban Planning, Computer Science, Geography, Architecture). We are especially interested in candidates that can demonstrate familiarity with the connection between computer science and social sciences/urban planning and whose work is aligned with DUSP's priorities of achieving racial justice, attaining climate integrity, closing the wealth gap, and enhancing democratic governance. Teaching the connection between computation, meeting the needs of cities and communities, and ethical concerns is of utmost importance, as is demonstrated interest in educational innovation. Candidates should have significant programming experience, be familiar with database systems, and be comfortable working with statistical packages. Candidates should also have considerable experience with geoprocessing technologies, web mapping, and visualization. Applicants from under-represented minority groups, particularly Black and Indigenous applicants, are especially encouraged to apply.
Application Instructions
A complete application package includes a cover letter, c.v., a statement of prior experience including a few paragraphs describing your work, and the names, affiliations, and email addresses of at least two references. A digital portfolio of work (not to exceed 20 pages) is recommended but not required.
Review of applications will begin immediately and will continue until the position is filled. Please do not send materials by email. For technical issues, please contact Interfolio staff at 877-997-8807 or help@interfolio.com. Other questions can be directed to Jesse Kaminsky at kaminsk@mit.edu.

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