Program Description:
The Department of Biomedical, Industrial, and Human Factors Engineering offers a program of graduate study leading to a Master of Science in Engineering (MSE) degree with a major in industrial and human factors engineering. The MSE program is broad in scope and covers all engineering disciplines represented at Wright State University. However, the specialization in Industrial and Human Factors Engineering allows a very flexible program of study that involves all research areas covered by the program. The MSE in Industrial and Human Factors Engineering can also be obtained entirely or partially through distance learning courses. Additional information about distance courses offered can be found at www.cecs.wright.edu/administration/distance (http://www.cecs.wright.edu/administration/distance).
Admissions Requirements:
To be considered for admission to the MSE-Industrial and Human Factors Engineering program, students must first satisfy basic requirements of the Graduate School. This includes having a bachelor’s degree in engineering or a related area with an overall undergraduate grade point average of at least 2.7 (on a 4.0 scale) or an overall undergraduate grade point average of at least 2.5 with an average of 3.0 or better for the last 60 semester hours (90 quarter hours) earned toward the undergraduate degree. International students must have a TOEFL score of at least 550/213 or an IELTS score of at least six. In addition, the program requires students from non-ABET accredited undergraduate programs to submit general GRE test scores. Program admission decisions are based on complete application information including overall academic performance and standardized test scores where applicable.
Program Learning Outcomes:
- Obtain depth in one area of specialization and breadth in complimentary areas.
- Acquire scientific knowledge and research skills to solve problems in their chosen area.
- Prepare for an advanced professional career or further graduate studies.
Facilities:
Students have access to a variety of computing platforms: general purpose software for analysis of data, software development and modeling of systems; application-specific software for use within focused areas of instruction and research. Research laboratories include
Aerospace and Virtual Environment Laboratory
Ergonomics in Remote Environments Laboratory
Human Centered Technology Laboratory
Human-Computer Interaction Laboratory
Interactions Modeling and Design Laboratory
Large Scale Optimization Laboratory
System Management and Control Laboratory
Visual Perception Laboratory
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