Operations Research and System Analytics M.S.

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
Offers a variety of electives offered so students can tailor to their interests and skills

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)

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

Continue your academic journey.

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Make yourself at home.

Syracuse University is a great school and puts resources into engineering.

Ryan Wallace G'07, '11