Masters in Systems Engineering

8097
Master of Science
Classroom
No
Graduate
Main Campus - Melbourne
Major Code: 8097 Degree Awarded: Master of Science
Age Restriction: N Admission Status: graduate
Delivery Mode/s: classroom Location/s: main campus
Admission Materials: 3 letters of recommendation, résumé, objectives, GRE

The master of science program in systems engineering meets the professional needs of engineers who are looking to advance within the technical leadership of engineering organizations. Today's highly complex, highly inter-operative engineered systems require full life cycle oversight to properly address the challenges of developing and integrating such systems within a global marketplace. The program prepares engineers to further their technical careers by meeting these system design and integration challenges, emphasizing the development of a high-level, interdisciplinary mindset toward system development.

Admission Requirements

An applicant for admission should have a bachelor's degree from an ABET-accredited engineering program, though applicants with bachelor's degrees in physical sciences, computer science or mathematics will also be considered. Applicants whose undergraduate GPA was less than 3.0 on a 4.0 scale may be asked to submit two letters of recommendation, a résumé, a statement of objectives and GRE results. All students are required to have a combined verbal/quantitative GRE score of 300 or higher (using the 130-170 point per part scoring system).

International applicants for whom English is not their primary language must submit paper-based TOEFL scores of 550 (or the equivalent computer-based or Internet-based scores) or higher in addition to the GPA requirement.

General admission requirements and the process of applying are presented in the Academic Overview section.

Degree Requirement

The program requires a minimum of 30 semester credit hours. Students without adequate undergraduate courses in linear and matrix algebra, calculus, probability theory and/or statistics will be required to make up these deficiencies. Courses taken to satisfy these deficiencies or any other admission prerequisites cannot be counted toward the degree requirements. Thesis students must earn at least six semester credit hours of thesis (SYS 5999). More credit hours may be necessary to satisfactorily complete the thesis requirement, but only six may be counted toward the degree requirement. Nonthesis students must successfully complete a capstone design project course (SYS 5380), in which students formulate and solve an industry problem and submit a project system design paper. Nonthesis students must also pass a final program examination. Both the capstone design project and the final program examination must be completed during the student's final semester before graduation. General degree requirements are presented in the Academic Overview section.

Curriculum

The master of science degree program consists of a set of required core courses and a set of elective courses as outlined below. Students who are newly admitted to the program must submit a program plan of study and have that program plan approved by their designated advisor and department head before registering for any course to be applied toward graduation requirements. Students must not register for any courses not on their approved program plan without the approval of their advisor and department head. Students pursuing this degree as a second or subsequent graduate degree must complete the change of major process and new program plan at least two semesters before graduation and no later than four weeks after starting the program. Only graduate courses in engineering, physical sciences, computer science or mathematics may be counted as transfer credit from the first graduate degree program.

There are five required core courses that all students must take, as listed below. Nonthesis students must take an additional four elective courses plus the capstone design project course, subject to the restriction shown. Thesis students will substitute six semester credit hours of thesis for two elective courses and are not required to take the capstone design project course.

Required Courses
Complete:
  • SYS 5310 Systems Engineering Principles
    Credit Hours: 3
    Introduces the fundamental principles in systems engineering (SE) that deal with system life cycle phases with emphasis on requirement and design methodologies. Key topics include SE definition; life cycle methodologies, tools and techniques; evaluation of system and technology alternatives; reliability and maintainability; trade-off models; and SE management tools and techniques.
  • SYS 5350 Systems Modeling and Analysis
    Credit Hours: 3
    System simulation modeling and analysis tools and techniques, covering issues such as variability, covariance and correlation. Includes management of simulation and modeling projects, verification and validation techniques, variance reduction techniques, animation, continuous system simulation, and creativity and innovation through modeling.
  • SYS 5365 Decisions and Risk Analysis
    Credit Hours: 3
    Analytical methods to solve decision problems that involve uncertainties, opposing objectives and limited or excessive information. Key topics include structuring decision, expected opportunity loss, expected value of imperfect information, Bayesian Analysis, utility curves, decision trees, risk analysis/mitigation tools and techniques, and risk profiles.
  • SYS 5370 Research Methods in Systems Engineering
    Credit Hours: 3
    Systematic measurement and analysis of data to improve decision accuracy. Key topics include scientific approach as in solving SE problems, hypothesis testing, data collection issues such as survey data, reliability, accuracy of measured data, data measurement tools and techniques, statistical process control, design of experiment methods, full and fractional designs, multiple regression analysis.
  • SYS 5460 Systems Requirements Analysis
    Credit Hours: 3
    Provides an in-depth study of systems requirements processes and tools. Includes concepts such as capturing stakeholder requirements, the importance of the concept of operations and the system development life-cycle process.
Elective Courses

A comprehensive list of elective courses is maintained by the department and is available on the department's website. Students must choose the appropriate number of courses from this list (four for nonthesis students, three for thesis students) to meet their elective course requirement. Nonthesis students must also take Systems Engineering Design Project (SYS 5380).

Spacecraft Systems

This interdisciplinary area of emphasis includes electrical and systems engineering, offering a unique opportunity to learn advanced collaborative system design to meet most aerospace industry needs. The curriculum requirements are separated into two parts as follows:

Complete:
  • All courses from the core curriculum list Credit Hours: 21
  • Approved electives (may include six credit hours of thesis) Credit Hours: 9
Total Credits Required: 30
Core Curriculum
  • ECE 5291 CubeSat Design
    Credit Hours: 3
    Covers the principles of CubeSat architecture. Includes typical subsystems (payload, command and data handling, communications, power and navigation), electrical interfaces and communications protocols. Focuses on the electrical systems needed to design a full CubeSat or spacecraft.
  • SYS 5310 Systems Engineering Principles
    Credit Hours: 3
    Introduces the fundamental principles in systems engineering (SE) that deal with system life cycle phases with emphasis on requirement and design methodologies. Key topics include SE definition; life cycle methodologies, tools and techniques; evaluation of system and technology alternatives; reliability and maintainability; trade-off models; and SE management tools and techniques.
  • SYS 5315 Model-Based Systems Engineering
    Credit Hours: 3
    Covers the principles, methodologies and processes of the model-based systems engineering methodology. Covers the design, development and validation of complex systems for engineers and professionals. Focuses on system modeling language (SysML), incorporating flexibility, refinement and collaboration.
  • SYS 5350 Systems Modeling and Analysis
    Credit Hours: 3
    System simulation modeling and analysis tools and techniques, covering issues such as variability, covariance and correlation. Includes management of simulation and modeling projects, verification and validation techniques, variance reduction techniques, animation, continuous system simulation, and creativity and innovation through modeling.
  • SYS 5365 Decisions and Risk Analysis
    Credit Hours: 3
    Analytical methods to solve decision problems that involve uncertainties, opposing objectives and limited or excessive information. Key topics include structuring decision, expected opportunity loss, expected value of imperfect information, Bayesian Analysis, utility curves, decision trees, risk analysis/mitigation tools and techniques, and risk profiles.
  • SYS 5370 Research Methods in Systems Engineering
    Credit Hours: 3
    Systematic measurement and analysis of data to improve decision accuracy. Key topics include scientific approach as in solving SE problems, hypothesis testing, data collection issues such as survey data, reliability, accuracy of measured data, data measurement tools and techniques, statistical process control, design of experiment methods, full and fractional designs, multiple regression analysis.
  • SYS 5460 Systems Requirements Analysis
    Credit Hours: 3
    Provides an in-depth study of systems requirements processes and tools. Includes concepts such as capturing stakeholder requirements, the importance of the concept of operations and the system development life-cycle process.
Electives
  • ECE 5233 Satellite Communications
    Credit Hours: 3
    A comprehensive study of the systems aspects of satellite communications, with emphasis on digital communications. Includes an analysis of AWGN channels, performance degradation caused by band limiting, nonlinearities, phase noise, etc. Presents a survey of existing operational satellite systems.
  • ECE 5245 Digital Signal Processing 1
    Credit Hours: 3
    Describes discrete-time signals in the time and frequency domains; z-transform, discrete Fourier transform, FFT algorithms; introduction to classical digital filter design techniques; and filter banks.
  • ECE 5246 Digital Signal Processing 2
    Credit Hours: 3
    Modern methods of data compression, signal modeling spectral estimation and linear prediction; Wiener filtering and an introduction to Kalman filtering and adaptive filtering; and other topics from the current literature.
  • SYS 5360 Electrooptics/Infrared Systems Engineering
    Credit Hours: 3
    Introduces optical systems engineering and associated principles, methods and techniques. Provides a systems engineering view of the optical system including source characterization, optical propagation, the effects of the atmosphere, optics and imaging, detectors, image and signal processing and displaying the resulting information.
  • SYS 5385 System Life Cycle Cost Estimation
    Credit Hours: 3
    Includes tools and techniques used in estimating cost of all phases of a system. Covers total system cost including research and development, investment and operation. Also includes the system life cycle (SLC) cost estimation process, SLC cost estimation models including discounted cash-flow analysis, activity-based costing, and cost-benefit calculations. Teaches cost scenario sensitivity analysis and design-to-cost concepts.
  • SYS 5999 Thesis Research in Systems Engineering
    (may be repeated for six credits)
    Credit Hours: 3
    Individual research under the direction of a member of the graduate faculty in a selected systems engineering topic.
    Requirement(s):
    Thesis advisor approval