The employment demand for engineering management is accelerating as many companies
fill leadership positions to counteract the retirements of long-time experienced workers.
Engineering managers are needed in a number of different industries, from manufacturing,
energy, transportation, healthcare and information systems to scientific research,
military and government operations. In a management role, an engineering manager is
expected to lead research and development teams to discover new processes, ensure
sound methodology, check the technical accuracy of the team’s work, and manage a project’s
budget and timeline effectively.
Graduates with master's degrees in engineering management are reportedly receiving
some of the highest salary increases in the country. A graduate student with advanced
engineering management skills can enter the marketplace with the tangible credentials
and intangible leadership qualities to help push their career forward.
This program is designed for engineers who want to become leaders without losing their
foundation in engineering, focuses on leadership and management skills and their direct
relationship to engineering process improvement, project management, effective communication
and innovative solutions.
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
Global competition is serving as a catalyst for continuous process improvement
and the methodical enhancement of system-wide efficiencies. This is true in disciplines
ranging from the medical arena and service related systems to manufacturing. The underlying
science that contributes to the systematic analysis of complex enterprise-wide systems
is the focus of this course. Concepts that can be used in a synergistic manner to enhance
an enterprise's efficiency and profitability will be addressed. Prerequisite:
Graduate standing or permission of instructor. Term offered varies. 3 credits.
Levels: Graduate, Undergraduate
This course deals with management of Supply chains, in particular, with the operational
aspects. A broad overview of supply chains of a company is introduced, together with
performance measures and needed critical success factors. The course concentrates
on supplies, inventories, manufacturing, and logistics of distribution. Managerial
aspects as well as mathematical modeling for better planning and control will be covered.
Enabling the supply chains by enterprise resource planning modules and e-commerce
will also be discussed. Prerequisite: SSIE 505 or equivalent. Crosslisted with ISE
415. Term offered varies. 3 credits.
Levels: Graduate, Undergraduate
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
Course provides a broad foundation in decision models and techniques used in industry
and research for technical and managerial problems. Topics include decision theory,
risk and uncertainty, value of information, preference measurements, prioritization
of alternatives, multiple objectives and hierarchical decisions. Prerequisite: SSIE
505 or equivalent. Crosslisted with ISE 422. Term offered varies. 3 credits.
Levels: Graduate, Undergraduate
Operations research (OR) is devoted to the determination of the best course of
action of a decision problem, given resource restrictions. Course provides the engineer
with a firm grounding in the use of OR (mathematical) techniques devoted to the modeling and analysis of decision problems. Techniques include the following:
decision modeling; linear, integer and dynamic programming; emerging optimization
techniques (e.g., genetic algorithms, simulated annealing, etc.); game theory; and
queueing theory. Problem areas include the following: transportation models; project/production
scheduling; inventory models; assignment problems. Prerequisite: Graduate standing
or permission of instructor. Term offered varies. 3 credits.
Levels: Graduate, Undergraduate
Effective Engineering Project Management is critical to business and organizational
success. This course will teach students both the technical and the sociocultural
dimensions of Engineering Project Management. Students will be thoroughly trained
in the following topics: Project Selection, Organization Structure and Culture, Project
Definition, Project Time and Cost Estimation, Project Networks, Project Risk Management,
Resource Scheduling, Project Crashing, Leadership, Team Management, Outsourcing, Progress
Monitoring and Project Evaluation, and Project Closure. Microsoft Project software
will be used to demonstrate activities, duration, task relationships, Gantt Charts,
network diagrams and the Critical Path Method with case studies of contemporary engineering
projects. Students will learn how to better control financial, physical, and human
resources, improve stakeholder relations, shorten development times, lower costs,
and increase profit. Offered Fall, Spring, or Summer as needed. 3 credits.
Levels: Graduate, Undergraduate
Thesis option:
1 elective (at the 600-level) plus 6 credits of thesis work followed by oral presentation
and defense.
Non-thesis (Project) option:
2 electives (at least one of which is at the 600-level) plus a SSIE 598 MS Termination
Project roject of at least 3 credits.
Coursework-only option:
2 electives and SSIE 664 Advanced Engineering Management.
Application Deadline
Admission to the program occurs on a rolling basis.
SUNY Distinguished Prof; Department Chair; Healthcare Systems Engineering / Health Systems / Manhattan Graduate Program Director; SUNY Distinguished Professor; Director
Systems Science and Industrial Engineering; Watson Institute for Systems Excellence (WISE)