The Department of Systems Science and Industrial Engineering (SSIE) at Binghamton
University was recently granted approval for a new master's degree in healthcare systems
engineering.
SSIE has had a long history of working with the healthcare industry through its health
systems concentration, one-year executive health systems program in Manhattan, extensive
research in healthcare systems, the Health Systems Engineering Center and more.
The Master of Science in Healthcare Systems Engineering provides a balance of theory
and practical knowledge for the practice of the profession and/or for advancement
to a doctoral program. In recognition of the high concentration of healthcare providers
in the greater Binghamton area, this program has been structured to serve both full-
and part-time graduate students. This program prepares individuals for professional
or leadership roles in various healthcare areas, including hospital operations management,
health systems engineering, health information technology and consulting. Students
in this program will attain a wide variety of industrial and systems engineering tools
and skill sets, such as modeling and simulation, statistical process control, data
science, reliability modeling, scheduling, human factors, and optimization, among
others.
Program requirements
Six required courses include 9 credits of core ISE courses and 9 credits of core health
systems courses:
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SSIE 505 - Applied Probability & Statist.
Basic concepts in probability and statistics required in the modeling of random
processes and uncertainty. Bayes' formula, Bayesian statistics, independent events;
random variables and their descriptive statistics; distribution functions; Bernoulli,
Binomial, Hypergeometric, Poisson, normal, exponential, gamma, Weibull and multinomial
distributions; Chebyshev's theorem; central limit theorem; joint distributions;
sampling distributions; point estimation; confidence intervals; student-t, x squared
and F distributions; hypothesis testing; contingency tables, goodness of fit, non-parametric
statistics, regression and correlation. Prerequisite: one year of calculus. Term offered
varies. 3 credits.
Levels: Graduate, Undergraduate
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SSIE 520 - Modeling And Simulation
Stochastic processes, review of probability and statistics, covariance, input data
selection, random number generators, non-parametric tests for randomness, generation
of random variates, output data analysis, terminating and non-terminating simulations,
model validation, comparison of alternatives, variance reduction techniques, sensitivity
analysis, experimental design and predictive models. Prerequisite: SSIE 505 or equivalent. Term
offered varies. 3 credits.
Levels: Graduate, Undergraduate
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SSIE 561 - Quality Assurance For Engineer
Statistical quality control, designing for quality, process control, vendor and
customer quality issues, quality costs and production. Prerequisites: SSIE 505 or
permission of instructor. Offered in the Spring semester. 3 credits.
Levels: Graduate, Undergraduate
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SSIE 534 - Fundamentals of Health Systems
One of the growing systems in our society is that of the healthcare delivery system.
The purpose of this course is to introduce the concepts behind the healthcare delivery
systems and to focus upon the systems improvement or continuous improvement techniques
available for complex systems. Topics would include improvement to, and problems with:
organizational structure, managing change, the financial structure, the responsibility
structure, quality data and implications of quality measures, use of clinical decisions
support systems and the care givers role in the system. There will also be a focus
upon suppliers to the healthcare delivery system and the unique requirements placed upon their products and processes. Prerequisite:
Graduate standing or permission of instructor. Crosslisted with ISE 434. Term offered
varies. 3 credits.
Levels: Graduate, Undergraduate
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SSIE 537 - Ind & Sys Eng in Healthcare
The application of industrial and systems engineering principles to continuous
process improvement in the healthcare domain will be studied. Concepts that will be
addressed will include, but not be limited to, process mapping, optimization, scheduling,
lean and flexible systems, quality enhancement, simulation, supply chain management,
inventory control, and information management. Prerequisite: graduate standing in
the department or permission of the instructor. Crosslisted with ISE 437. Term offered
varies. 3 credits.
Levels: Graduate, Undergraduate
-
SSIE 538 - Healthcare Financial Eng
This course is intended to provide an overview of healthcare finance and the current
financial environment for the healthcare industry and to learn how to apply engineering
economics to healthcare financial management. It will provide information on financial
and managerial accounting and how the use of Systems Science and Industrial and Systems Engineering
principles can be applied to financial management concepts to allow for health-related
organizations to make sound business decisions. Crosslisted with ISE 438. Prerequisites:
SSIE 534 or permission of the instructor. Term offered varies. 3 credits.
Levels: Graduate, Undergraduate
For students with adequate backgrounds, electives may be substituted for these courses
with consent from the advisor and the Director of Graduate Studies.
Upon completing the core requirements, students will be able to complete their program
with one of the following three options to attain eligibility for degree conferral:
Coursework Option
3 Electives (3 credits each) and SSIE 637 Advanced Topics in Health Systems (3 credits).
SSIE 637 includes significant project-based coursework to serve as a capstone for
the termination requirement of the program.
Project Option
SSIE 598 Project (3 credits) and 3 Electives (3 credits each, including one at the
600-level)
Thesis Option
SSIE 599 Thesis (6 credits) and 2 Electives (3 credits each, including one at the
600-level)
Application Deadline
Admission to the program occurs on a rolling basis.
