Program Overview
- Uniquely combines mathematical modeling, computer programming, data science and business analytics to solve significant problems in a variety of domains
- Provides hands-on experience through a required capstone project
- Open to students with an undergraduate degree in any STEM field and built for people who have a diversity of backgrounds
- Variety of electives offered so students can tailor to their interests and skills
- Applied operations research program with computer science and artificial intelligence flavor
Relevant Learning Outcomes
- Apply operations research models and methods to identify, formulate, and solve problems in engineering systems
- Use principles of mathematical programming to make informed holistic decisions while being cognizant of their societal, economic, and environmental impact
- Proficiency in scientific tools to efficiently operate systems with significant uncertainty and predict their performance
- Perform descriptive, predictive, and prescriptive analytics using data-driven approaches and communicate the outcomes effectively
- Integrate concepts from mathematics, programming, and engineering to design and optimize systems, analyze trade-offs, and interpret results for engineering practice
Program Curriculum
- Mathematical background (2 courses)
- Linear Algebra and Applications (ELE 603)
- Introduction to Probabilistic Models (ELE 606)
- Operations research topics (2 courses)
- Optimization Techniques (MAE 630)
- Stochastic Modeling and Applications (ECS 629)
- Machine learning topics (1 course)
- Machine Learning Algorithms (CIS 662)
- Electives (4 courses)
- Select courses from areas such as artificial intelligence, machine learning, engineering management, and industrial engineering
- Industrial project experience (1 course)
- Capstone project in operations research and system analytics (ECS 697)
Contact the College of Engineering and Computer Science admissions team to get started or if you have any questions!
