- Become familiar with basic concepts and terms developed and used in Complex Systems Science and Engineering
- Learn basic literacy of quantitative methods used in Complex Systems Science and Engineering (e.g., mathematical modeling, simulation, nonlinear statistics)
- Acquire advanced knowledge and research skills in some areas of Complex Systems Science and Engineering that are relevant to their own research
- Develop a broader research interest and intellectual openness/flexibility that go beyond their own areas of expertise
What are Complex Systems?
Complex systems are networks of many components with nonlinear interactions which arise and evolve through self-organization. These properties can be found in many real-world systems, such as political organizations, human cultures/languages, national and international economy, stock markets, the Internet, social networks, global climate, food webs, brains, physiological systems, and even down to gene regulatory networks in a single cell. In all of those systems, a massive amount of microscopic components are interacting with each other in non-trivial ways, where critically important information resides in the relationships between parts, not necessarily within parts themselves. It is therefore imperative to construct a model of how such interactions form and operate in order to understand what will emerge at a macroscopic scale in the system.
Why should I get a certificate in Complex Systems Science and Engineering?
- Get in on the ground floor of a rapidly advancing field of research
- Apply systems science and engineering techniques and methodologies to your own research interests
- Discover if you want to continue on with a systems science master's degree (your classes for the certificate will transfer in if you decide to continue on)
- Add technical and engineering expertise to your resume with a program designed for an interdisciplinary perspective
The CX certificate program is open to graduate students in any major at Binghamton University (as an add-on certificate program), as well as non-matriculated students who seek continuing education (as a stand-alone certificate program). Applicants must have a minimum of 3.0 GPA in the discipline at the time of application, regardless of the program (either at Binghamton or at the previous/current institution).
Plan of study:
- SSIE/BME 524. Graduate Seminar in Complex Systems Science (1 credit x 2 semesters; students must take it twice)
- SSIE 523. Collective Dynamics of Complex Systems (3 credits) or ECON 696H: Agent-Based Policy Modeling (4 credits)
- Two elective courses — one from Group A and the other from Group B (list of approved elective courses available at https://binghamton.edu/cx/curriculum.html)
With permission, an independent study may substitute for one of the elective requirements.
Admission to the program occurs on a rolling basis.