Urban Informatics, MS

Matthias Ruth, PhD
Graduate Program Director

Louis DaRos
Graduate Program Administrator

CSSH Graduate Programs General Regulations

The STEM-designated Master of Science in Urban Informatics (MSUI) degree couples comprehensive data analytics skills with an understanding of the big questions faced by cities in the 21st-century city. This cutting-edge program is built upon a unique cross-college initiative, which offers comprehensive state-of-the-art training in the core skills of data analytics—including quantitative analysis, data mining, machine learning, and data visualization. Urban informatics students supplement training in these foundational skills with a specialized sequence of courses that address how data and technology are being used to tackle key social, infrastructural, and environmental challenges.

By combining a theoretically informed perspective of cities with advanced skills in accessing, managing, analyzing, and communicating insights from large complex, data sets, graduates are a part of the next wave of urban professionals ready to lead in the public, private, and nonprofit sectors. Given the continuous growth in urban data and technology, these professionals are essential to shaping the future of urban areas around the globe.

This program provides a uniquely integrated urban and informatics degree with a substantial experiential education component. The focus throughout is on practical application, and students have multiple opportunities to apply what they are learning.

Academic Standing/Progress 

Students in the program are monitored for academic progress. Those students whose grade-point average (GPA) falls below a 3.000 are notified by and meet with the director of academic programs. They are counseled that if their GPA does not rise to a 3.000 or higher, they run the risk of not graduating and are advised on strategies for improvement. 

Complete all courses and requirements listed below unless otherwise indicated.

General Requirements

Data Science Courses
DA 5020Collecting, Storing, and Retrieving Data4
DA 5030Introduction to Data Mining/Machine Learning4
PPUA 5301Introduction to Computational Statistics4
PPUA 5302Information Design and Visual Analytics4
Methods and Applications
PPUA 5262Big Data for Cities3
PPUA 5263Geographic Information Systems for Urban and Regional Policy3
PPUA 5266Urban Theory and Science3
PPUA 7237Advanced Spatial Analysis of Urban Systems3
or PPUA 5261 Dynamic Modeling for Environmental Decision Making
Research or Capstone
PPUA 6966Practicum3
or PPUA 7673 Capstone in Public Policy and Urban Affairs
PPUA 6410Urban Informatics Portfolio1

Program Credit/GPA Requirements

32 total semester hours required
Minimum 3.000 GPA required