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Graduate Programs in Systems Science

Why Systems Science?

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Whether you study on-campus, online, or in Manhattan (health systems), the Systems Science graduate program at Binghamton University offers a unique, internationally recognized, highly transdisciplinary learning and research experience that provides you with concepts, principles and methods for understanding, modeling, analyzing, optimizing and improving various forms of complex systems.

Such systems thinking and problem solving skills will be an invaluable asset when you blaze a new trail in any scientific, engineering, business, or management profession, within today's increasingly complex world.

SS Graduate ProgramsSelected Research Topics

Mathematical Modeling of Systems; Computer Simulation; Soft Computing; Machine Learning; Intelligent Control; Optimization; 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.

Programs Offered

Requirements

Master's in Systems Science (MS SS)

Students must complete the required courses while maintaining at least a B average.

Required courses

  • SSIE 500: Computational Tools
  • SSIE 501: Introduction to Systems Science
  • SSIE 505: Introduction to Applied Probability and Statistics
  • SSIE 520: Modeling and Simulation, or SSIE 523: Collective Dynamics of Complex Systems

Sample electives

  • SSIE 506: Systems Problem Solving
  • SSIE 519: Applied Soft Computing
  • SSIE 617: Fuzzy Sets, Fuzzy Logic and Fuzzy Systems
  • SSIE 631: Foundations of Neural Networks

Thesis option: 4 electives* plus 6 credits of thesis work followed by oral presentation and defense.

Non-thesis option: 5 electives* plus a project of at least 3 credits.

*At least one elective must be at the 600 level.

Course descriptions are available in the University Bulletin at bulletin.binghamton.edu.

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

Students' Testimonials

Earn Your Graduate Degree Remotely

EngiNet, the Watson School's Graduate Distance Learning Program, uses software to digitally capture both classroom lectures and presentation materials. The lectures are posted on the course management system. Students use the online media in conjunction with course materials posted on each course website. Online files are usually posted within 24 hours of being recorded.

For additional information about courses, tuition or registration, send an e-mail to enginet@binghamton.edu or call 607-777-4965 (toll free 1-800-478-0718).

Application Deadline

Admission to the program occurs on a rolling basis. Early early application is encouraged. Click here to apply.

For Additional Information

Dr. Hiroki Sayama
Graduate Program Director
E-mail: sayama@binghamton.edu
Phone: 607-777-3566

Erin Hornbeck
E-mail: hornbeck@binghamton.edu
Phone: 607-777-6511

Last Updated: 3/30/18