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
- MS in Systems Science
- MS in Systems Science with Health Systems concentration
- MS in Systems Science: Executive Health Systems concentration in Manhattan
- Advanced Graduate Certificate in Complex Systems Science and Engineering (available
for all majors)
Selected Research Topics
- Mathematical Modeling of Systems
- Computer Simulation
- Soft Computing
- Machine Learning
- Intelligent Control
- Statistical Modeling
- Data Analytics
- Information Theory
- System Dynamics
- Nonlinear Dynamics
- Agent-Based Modeling
- Game Theory
- Computational Social Science
- Complex Networks
- Decision Making and Management
- Health Systems; Sustainability
- Transdisciplinary Research
Required Course Descriptions, Electives
Most of the courses are available fully online via the Watson School’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.
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.