Systems Science and Industrial Engineering - Graduate
Graduate Programs
Students may earn multiple graduate-level degrees. The flexibility offered by the variety of programs helps students follow their individual career paths. The two master of science programs available are the MS in systems science and the MS in industrial and systems engineering. Requirements for admission are different for each degree program, as each serves students with different backgrounds.
The programs have the flexibility required by part-time students, EngiNet (distance) students and full-time students.
Master of Science in Systems Science
The graduate program in systems science provides the student with systems concepts, principles and methods for developing an ability to understand the nature of systems problems, as well as proficiency in actual systems problem solving. Involved are problem classes such as systems modeling and simulation, systems analysis and synthesis (systems design), as well as various problems associated with the simplification of overly complex systems to make them manageable.
The program emphasizes the complementary use of mathematical, computational and heuristic approaches to solving systems problems. Students learn to analyze assumptions under which various methods are applicable, with the aim of selecting methods that best fit the problem.
Requirements
Students with a baccalaureate degree in any field may apply for admission to this program. The Graduate Record Examination is required. The student must maintain at least a B average in the following course of study:
SSIE 501. Introduction to Systems Science
SSIE 505. Introduction to Applied Probability and Statistics
SSIE 506. Systems Problem Solving
SSIE 520. Modeling and Simulation
SSIE 592. Professional Seminar (taken after 12 credit hours in the program)
five approved electives, including a 600-level course; and
termination requirement.
Note: In special cases, a student may request an individualized program. If it deviates from the above requirements, it must be approved by the students adviser and the department chair.
Students needing preparatory work may be advised to take appropriate undergraduate courses.
Sample Concentrations
Intelligent Systems Concentration: This concentration provides the student with sufficient knowledge and skills for designing intelligent systems as well as foundations for pursuing advanced study in the area of intelligent systems within the intelligent systems specialization of the PhD program in systems science.
In addition to the courses required of all students in the MSSS program, the student should take three or more of the following courses in consultation with the adviser (note: Most of these courses are offered only on a semi-regular basis):
SSIE 517. Fuzzy Sets, Uncertainty and Information
SSIE 519. Applied Soft Computing
SSIE 544. Heuristic Optimization
SSIE 575. System Design
SSIE 516. Advanced Topics in Applied Soft Computing
SSIE 617. Fuzzy Sets, Fuzzy Logic and Fuzzy Systems
SSIE 619. Generalized Information Theory
SSIE 631. Foundations of Neural Networks
SSIE 644. Foundations of Adaptive Optimization
If any of the required courses are waived, the student is encouraged to take one additional course pertaining to intelligent systems:
SSIE 630. Neural Networks and Genetic Models or
SSIE 631. Foundations of Neural Networks
Biosystems Concentration: In conjunction with the Bioengineering Department, a concentration in biosystems. For additional information, see the section on Bioengineering, under Graduate Studies in Bioengineering.
Doctoral Program in Systems Science
The PhD in systems science is described earlier under Graduate Information in this section. Applicants are also advised to consult with the graduate director of systems science.
Master of Science in Industrial and Systems Engineering
The master of science in industrial and systems engineering provides a balance of theory and practical knowledge for the practice of the profession or for advancement to a doctoral program with an emphasis on manufacturing systems. In recognition of the high concentration of industry in the Binghamton area, this program has been structured to serve both the full- and part-time graduate student. Taking advantage of this industrial resource allows the program to develop a realistic approach to integrating manufacturing systems.
The academic environment of the department may be enriched by the appointment of adjunct faculty members employed in local industry. Under appropriate circumstances, thesis and/or project activity may be carried out in industrial laboratories.
Requirements
Holders of the baccalaureate degree in industrial and systems engineering or a related field are invited to apply for admission to this program. The Graduate Record Examination (GRE) is required. A student whose undergraduate degree is not in industrial and systems engineering may be required to complete some preparatory study in addition to the requirements listed below.
The student must maintain at least a B average in the following plan of study:
four required courses:
SSIE 505. Applied Probability and Statistics
SSIE 561. Quality Assurance for Engineers
SSIE 520. Modeling and Simulation
SSIE 510. The Science of Manufacturing
four courses in an area of specialization or from a list of approved courses outside the department, one of which is at the 600 level.
either of the following independent study options:
Thesis: Oral presentation and defense of the thesis are required.
Non-Thesis: With departmental approval, the thesis requirement may be replaced by two approved elective courses and a project. This is normally allowed only for part-time students.
Systems Engineering Concentration: The systems engineering program is specifically designed for students with a BS in engineering, physics or math. The intent of the program is to focus on the systems engineers concern with the integration of all aspects of systems, both technical and managerial. This may typically include design, production, deployment, operation, maintenance, modification and retirement, all within constraints of time, cost, personnel and other resources.
The course requirements for the systems engineering sequence vary slightly from those for the standard industrial engineering specialization. The program must be approved by the MSISE adviser, and should be based on the following guidelines:
SSIE 501. Introduction to Systems Science
SSIE 505. Introduction to Applied Probability and Statistics
SSIE 520. Modeling and Simulation
SSIE 525. Principles of Systems Engineering
SSIE 527. Systems Design and Human Interactions
SSIE 561. Quality Assurance for Engineers
thesis/termination requirement
three approved electives, including a 600-level course.
For students with adequate backgrounds, electives may be substituted for these courses with consent from the adviser.