Binghamton’s Systems Science graduate program is now officially registered by the New York State Education Department as a Distance Education program. You can complete your advanced degree in Systems Science (Master’s, PhD) fully online from anywhere in the world. Apply today!!
The current COVID-19 crisis has made the whole world increasingly more aware of the relevance of Systems Science, its concepts and methodologies. How rapid and counter-intuitive is the exponential growth? Why are mathematical models and computer simulations important and helpful for real-world problem solving? How do social networks play a key role in contagion processes? Why can social distancing change the epidemic property of our social system? How critical are supply chain and healthcare systems management for saving lives in emergency situations? All of these are Systems Science questions. The abilities and skills to understand, model, predict and manipulate complex systems are more important than ever.
We, the Systems Science program at Binghamton University, are committed to disseminating those critically needed systems skills for a wide variety of professional and academic workforces for the betterment of our global society. We offer highly unique, internationally recognized, transdisciplinary learning and research experiences. Join us to make a difference to the world.
- PhD in Systems Science (on-campus and online)
- MS in Systems Science (on-campus and online)
- MS in Systems Science with Health Systems concentration (on-campus and online)
- MS in Systems Science: Executive Health Systems concentration in Manhattan
- MPA/MS in Systems Science
- Advanced Graduate Certificate in Complex Systems Science and Engineering (available for all majors)
Selected Research Topics
- Complex Systems
- Mathematical Modeling of Systems
- Computer Simulation
- Soft Computing
- Machine Learning
- Intelligent Control
- Statistical Modeling
- Data Analytics
- Information Theory
- Decision Making and Management
- System Dynamics
- Nonlinear Dynamics
- Agent-Based Modeling
- Mathematical & Computational Biology
- Artificial Life
- Game Theory
- Computational Social Science
- Complex Networks
- Health Systems
- Transdisciplinary Research
Required Course Descriptions, Electives
Most of the courses are available fully online via Watson College’s EngiNet distance learning service.
Master's in Systems Science (MS SS)
Students must complete four required courses while maintaining at least a B average. Students will choose to complete either SSIE-520 or SSIE-523.
- SSIE 500 - Computational Tools
- SSIE 501 - Intro to Systems Science
- SSIE 505 - Applied Probability & Statist.
- SSIE 520 - Modeling And Simulation
- SSIE 523 - Collective Dyn of Complex Syst
- SSIE 519 - Applied Soft Computing
- SSIE 617 - Fuz. Sets, Fuz.Logic & Fuz.Sys
- SSIE 631 - Foundations Of Neural Networks
- SSIE 641 - Adv Topics in Network Science
4 electives (at least one at 600-level) plus 6 credits of thesis work followed by oral presentation and defense.
5 electives (at least one at 600-level) plus a project of at least 3 credits.
6 electives, including at least one of the following 600-level courses that include
project-based coursework to serve as capstone for the termination requirement:
SSIE 605, SSIE 612, SSIE 613, SSIE 615, SSIE 616, SSIE 617, SSIE 621, SSIE 631, SSIE 633, SSIE 637, SSIE 641, SSIE 643, SSIE 644, SSIE 650, SSIE 660, SSIE 661, SSIE 664, SSIE 665, SSIE 671, SSIE 673.
PhD in Systems Science (PhD SS)
Degree requirements include:
- satisfaction of the learning contract, including proficiency in teaching and residence requirements
- pass a comprehensive exam
- presentation of a colloquium on proposed research
- acceptance of a prospectus outlining dissertation research
- submission of a dissertation, and
- defense of a dissertation at oral examination
Admission to the program occurs on a rolling basis.