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Master of Science in Urban Analytics

Master of Science in Urban Analytics

Given most of the future population growth will be in urban regions, and that these regions will be the key to sustainable development, making cities smarter is critical for future livability. The M.S. in Urban Analytics (MSUA) brings Georgia Tech’s recognized strengths and expertise in data analytics to focus on the critical problems facing urban regions.

The School of City and Regional Planning administers this multidisciplinary program in partnership with the H. Milton Stewart School of Industrial and Systems Engineering (ISyE), School of Computational Science and Engineering (CSE), and School of Interactive Computing (IC).

Apply for Fall 2021

Applications for Fall 2021 are open! The deadline to apply is July 8, 2021.

The deadline has passed for international applicants to enroll for Fall 2021, with the exception of international students already pursuing study at Georgia Tech. International applicants outside the Georgia Institute of Technology are invited to apply now for consideration for the Fall 2022 cohort.

Be On the Cutting Edge

Urban analytics is an emerging field that incorporates smart cities, urban informatics, and urban science. The goal of urban analytics is to leverage data science in addressing major issues cities continue to face. These issues include air, water, and land pollution, carbon emissions, traffic congestion, inadequate housing options, and disparities in access to urban services.

We believe the skills and knowledge necessary to tackle such challenging urban problems require an integrated multidisciplinary approach.The MSUA at Georgia Tech is the first of its kind in the country. No other program harnesses the power of four ranked schools to teach urban analytics in such a multidisciplinary way. 

Learn from the Best

Georgia Tech has a unique combination of strengths in design, computing, and engineering – all three colleges involved in this interdisciplinary program are top-ranked nationally. You will learn from faculty at the top of their fields across the Georgia Institute of Technology.

The MSUA is managed by representatives from all of the involved schools in order to guarantee full integration of each discipline into the curriculum.

Ümit V. Çatalyürek

Ümit V. Çatalyürek

Professor and Associate Chair, CSE

Santanu Dey

Santanu Dey

A. Russell Chandler III Professor, ISyE

William Drummond

William Drummond

Associate Professor, SCaRP

Subhrajit Guhathakurta

Subhrajit Guhathakurta

Professor and Chair, SCaRP

Haesun Park

Haesun Park

Regents' Professor and Chair, CSE

John Stasko

John Stasko

Regents' Professor and Interim Chair, IC

Pascal Van Hentenryck

Pascal Van Hentenryck

A. Russell Chandler III Chair and Professor, ISyE

Curriculum

The MS in Urban Analytics degree is a one year program (three semesters), designed to give graduates a core of computing, urban planning, and data analysis and visualization skills to identify, analyze, and solve urban problems. Students will integrate those skills in an interdisciplinary way that other, single-discipline-oriented urban analytics degrees might not, and will experience a depth of urban problems addressable with data analytics.

The curriculum includes four learning modules. Each student will complete 6 credit hours of coursework from each of the four modules in the first two semesters. The remaining 6 credits are completed through a summer capstone in smart cities.

The following courses are required:

  • CP 6525: Introduction to Urban Analytics (3) 
  • CP 6552: Design of Smart Urban Systems (3) 

Students will pick two of the following courses:

  • CP 6521 Advanced GIS (3) 
  • CP 6570 Socioeconomic GIS (3) 
  • CP 6541 Environmental GIS (3) 
  • CP 6542 Transport & GIS (3) 

Students will pick two of the following courses:

  • CSE 6010: Computational Problem Solving (3) 
  • CSE 6040: Intro to Computing for Data Analysis (3) 
  • CSE 6240: Web Search and Text Mining (3) 
  • CSE 6740: Computational Data Analysis (3) 
  • ISYE 6416: Computational Statistics (3) 
  • ISYE 6412. Theoretical Statistics (3) 
  • ISYE 6414. Regression Analysis (3) 

Students will pick two of the following courses:

  • ISYE 6501: Intro Analytics Modeling (3) 
  • CSE 6220: Introduction to High Performance Computing (3) 
  • CSE6242A: Data and Visual Analytics (3) 
  • CS 6730: Data Visualization: Principles & Applications (3) 
  • CS 7450: Information Visualization (3) 
  • CSE/ECE 6730: Modeling and Simulation: Fundamentals & Implem. (3) 

Real World Experience: Capstone

The final semester of the MSUA consists of a capstone course for the remaining 5 credits of study. There is a one-credit preparatory course for the capstone in the spring semester.

The capstone experience aims to give students real world experience as they work alongside clients to execute an urban analytics-focused project.

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