Complete all courses and requirements listed below unless otherwise indicated.
| Code | Title | Hours |
|---|---|---|
| Course 1 | ||
| Complete a cross-disciplinary training course from the appropriate course 1 option list. | 3–4 | |
| This requirement offers cross-disciplinary training in one of two areas: in social sciences or business for learners with a background in engineering or computer science and in knowledge engineering for learners with a background in the social sciences or business. Students should complete one of the courses listed below or submit a petition to their advisor for a different course that they believe is suitable. Some options to meet this course 1 requirement are prerequisites of options to meet the course 3 requirement of this program. Students are encouraged to examine course 3 options when planning their course 1 selection. | ||
| Course 1 for Learners with Background in Engineering or Computer Science | ||
| Information Ethics | ||
| AI Ethics | ||
| Big Data for Cities | ||
| Economic Analysis for Policy and Planning | ||
| Course 1 for Learners with Background in the Social Sciences or Business | ||
| Algorithms | ||
| Foundations for Data Analytics Engineering | ||
| Course 2 | ||
| ENGR 6010 | Fundamentals of the Platform Economy | 4 |
| Course 3 | ||
| Complete an elective from one of the following elective lists. Students should choose one of the courses listed below or submit a petition for a different course they believe is suitable. Some options to complete this requirement have prerequisites outside the curriculum for this certificate program. | 3–4 | |
| Modeling and Algorithms Electives | ||
| Time Series and Geospatial Data Sciences | ||
| Performance Models and Simulation of Transportation Networks | ||
| Transportation Demand Forecasting and Model Estimation | ||
| Computer/Human Interaction | ||
| Algorithms | ||
| Applied Econometrics | ||
| Data Visualization | ||
| Introduction to Machine Learning and Pattern Recognition | ||
| Advanced Special Topics in Electrical and Computer Engineering | ||
| Engineering Probability and Statistics | ||
| Simulation Analysis | ||
| Data Mining in Engineering | ||
| Deterministic Operations Research | ||
| Dynamic Modeling for Environmental Decision Making | ||
| Urban Affairs Electives | ||
| Transportation Systems: Analysis and Planning | ||
| Sustainable Urban Transportation: Netherlands | ||
| Public Transportation | ||
| Big Data for Cities | ||
| Geographic Information Systems for Urban and Regional Policy | ||
| Global Urbanization and Planning | ||
| Urban Theory and Science | ||
| The 21st-Century City: Urban Opportunities and Challenges in a Global Context | ||
| Advanced Spatial Analysis of Urban Systems | ||
| Policy and Regulation Electives | ||
| Fundamentals of Energy System Integration | ||
| Ecological Economics | ||
| Energy Democracy and Climate Justice: Technology, Policy, and Social Change | ||
| Principles of Public Administration | ||
| Economic Analysis for Policy and Planning | ||
| Techniques of Policy Analysis | ||
| Energy and Environment Electives | ||
| Climate Science, Engineering Adaptation, and Policy | ||
| Special Topics in Civil Engineering | ||
| Product Management and Platform-Based Business Model Innovations Electives | ||
| Economic Decision Making | ||
| Business Model Design and Innovation | ||
| Creating and Sustaining Customer Markets | ||
| New Product Development | ||
| Marketing and Selling Innovation | ||
Students who complete the requirements above at less than the required 12 semester hours for this certificate should consult with their advisor regarding 1-semester-hour and/or 2-semester-hour course options to complete program requirements.
Program Credit/GPA Requirements
12 total semester hours required
Minimum 3.000 GPA required