Operations Research and System Analytics, MS

Contact:

Natarajan Gautam, Professor, 3-171 Center for Science and Technology, 315-443-2046

Faculty

EECS Department Faculty: Biao Chen, Sara Eftekharnejad, Makan Fardad, Ferdinando Fioretto, Venkata S.S. Gandikota, Natarajan Gautam, Mustafa Cenk Gursoy, Can Isik, Garrett Ethan Katz, Chilukuri K. Mohan, Vir Phoha, Qinru Qiu, Asif Salekin, J. Cole Smith, Sucheta Soundarajan, Pramod K. Varshney, Senem Velipasalar, Reza Zafarani.

MAE Department Faculty: Jackie Anderson, Bing Dong, Xiyuan Liu, Young B. Moon, Utpal Roy

CEE Department Faculty: Min Liu, Baris Salman

The M.S. in Operations Research and System Analytics is a 30-credit program that comprises 15 credits of core coursework, 12 credits of relevant electives, and 3 credits of a capstone project. The core ensures that all graduates of the program have the necessary skills in mathematics, operations research, engineering, and computing to formulate and solve engineering problems. Students apply their skills and knowledge, gained throughout the program, to develop and carry out a capstone project that focuses on solving real-world and industry-inspired problems.

Program Description

There is a growing need from both the industry and government for employees with combined skills in optimization, data analysis, programming, systems thinking, and managing uncertainty. To redress this need, Syracuse Uniersity has developed a masters program that uniquely covers topics in mathematics, analytics, computation, and engineering. Students graduating from the program will be well-suited to take on roles that require advanced degrees, such as data engineer, operations research analyst, systems analyst, management engineer, applied scientist, industrial engineer, and analytics engineer.

Admissions

Applicants will have completed a B.S. degree in a STEM (Science, Technology, Engineering, Mathematics) area with a 3.0 or better grade point average (GPA) and have completed prior coursework in:

Introduction to programming
Multivariate calculus
Linear algebra
Elementary probability and statistics

The course work requirements can be waived for applicants who demonstrate equivalent knowledge obtained through work or other experience.

Student Learning Outcomes

Students graduating from this program will be able to:

1. Apply operations research models and methods to identify, formulate, and solve problems in engineering systems

2. Use principles of mathematical programming to make informed holistic decisions while being cognizant of their societal, economic, and environmental impact

3. Demonstrate proficiency in scientific tools to efficiently operate systems with significant uncertainty and predict their performance

4. Perform descriptive, predictive, and prescriptive analytics using data-driven approaches and communicate the outcomes effectively

5. Integrate concepts from mathematics, programming, and engineering to design and optimize systems, analyze tradeoffs, and interpret results for engineering practice

Degree Requirements

Students are required to complete 30 credit hours of courses, consisting of 18 credits of core including a capstone course, and 12 credits of electives as described below:

Core Courses

Students must complete all of the following core courses:

CIS 662 - Introduction to Machine Learning & its Algorithms 3 credit(s)
ECS 629 - Modeling and Optimization Techniques 3 credit(s)
ECS 697 - Capstone Project in Operations Research and System Analytics 3 credit(s)
ELE 603 - Functional Methods of Engineering Analysis 3 credit(s)
ELE 606 - Probabilistic Methods in Electrical Engineering 3 credit(s)
MAE 630 - Advanced Practical Optimization 3 credit(s)

Elective Courses

Students must complete 12 credits of electives in areas such as artificial intelligence, machine learning, engineering management, and industrial engineering. The program coordinator maintains the list of approved electives.

Final Examinations

All candidates are required to successfully complete the capstone course ECS 697.

Financial Support

Some, but not all, students are provided merit-based tuition scholarships.

Degree Awarded

Master of Science in Operations Research and System Analytics