Master of Science in Civil Engineering with Smart Cities and Urban Informatics Concentration (SCUI)

The Smart Cities and Urban Informatics major is an innovative major proposed under the Lyles School of Civil and Construction Engineering Master of Science in Engineering degree at Purdue University. This major is part of a professional, residential degree program designed to address the growing complexities and interconnections within urban environments based on opportunities in data science, AI and challenges in city resilience. Unlike the traditional MSE/MS concentrations, which often focus on specific engineering disciplines, this major centered in applications of AI in Civil Engineering with the possibility to take courses from other units such as Industrial Engineering, Computer Engineering and Computer Science, and insights from the Mitchell E. Daniels, Jr. School of Business. The curriculum is designed to address the multifaceted challenges of urban environments, integrating principles of urban AI, resilience engineering, and smart city technology.

This program addresses the critical need to train skilled professionals who can navigate and resolve complex problems in civil and urban infrastructure. Increases in urbanization, the impacts of climate change, global health pandemics, and rapidly evolving technological advancements that can outpace urban policy development present complex issues that city planners, resilience officers, civil engineers, data scientists, and policy makers need to address. Developed through interactions with civic leaders, industry experts, and city agencies, this program will prepare students to be future leaders in the use of engineering solutions, artificial intelligence, problem solving and technology adaptation to help address the complex issues that cities increasingly face.

Curriculum Requirements:

Each student in the program must complete a total of 30 credits. The 30 credits are divided as follows:

Core Courses:

All students in the proposed major must take the following core courses totaling 9 credits:

Major Courses:

Major Courses are to be chosen from the following designated “Urban Data Science Methods”, “Urban Data Science Technologies”, and “Computational Statistics, Applied Math, and Data Visualization” course lists. Each student should take at least 2 courses (3 credits each) in the three modules including core courses. All core courses in each module will be offered in Indianapolis. After preliminary discussions at least seven faculty have agreed to teach the courses in Indianapolis. Other courses will also be offered in Indianapolis after discussion with the faculty and incentive program.

Module 1. Urban Data Science Methods

Module 2. Urban Data Science Technologies

Module 3. Computational Statistics, Applied Math and Data Visualization

Capstone Projects:

 

Students applying to Indianapolis should select the following on the application: