Jan 23, 2018
The Department of Biomedical, Industrial, and Human Factors Engineering offers a program of graduate study leading to a Master of Science in Industrial and Human Factors Engineering (MSIHE) degree. The MSIHE program prepares students with skills for effective design and operation of a variety of systems in industries such as healthcare, manufacturing, aerospace, distribution, and retail. Industrial engineers utilize tools in simulation, optimization, computing, and statistics to design and improve modern technology-laden systems, while human factors engineers design systems that effectively integrate human abilities and limitations with machines and tools. The MSIHE program is very flexible and can be obtained entirely or partially through distance learning courses. Students work with a faculty advisor to plan a custom course of study within one of four focused areas of study: Data Analytics, Logistics and Supply Chain, Human Factors and Ergonomics, or Neuroengineering. Both thesis and non-thesis (coursework) options are available.
To be considered for admission to the MSIHE 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). International students must have a TOEFL score of at least 550/213 or an IELTS score of at least 6. In addition, the program requires students from non-ABET accredited undergraduate programs to submit GRE general 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.
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
Data Analytics and Optimization Laboratory
Ergonomics in Remote Environments Laboratory
Human Centered Innovation Laboratory
Human Performance and Cognition Laboratory
Interactions Design and Modeling Laboratory
Large Scale Optimization Laboratory
System Management and Control Laboratory
For additional information:
Students must plan a program of study in consultation with a faculty advisor. The approved program of study must be submitted by the time the student completes 9 credit hours of graduate study. Any changes to the program of study must be approved in advance by the faculty advisor.
- The following requirements must be met for the Master of Science in Engineering degree:
- Completion of 30 graduate credit hours in courses that have prior approval by a BIE graduate advisor.
- Completion of IHE 6010 (1 credit hour) Ethics and Academic Integrity.
- At least 15 of the 30 graduate credit hours must be BIE department courses numbered 7000 or above.
- At least 6 of the total 30 graduate credit hours must be approved courses in mathematics, statistics, or computer science.
- Students may choose either a thesis option or a 30 credit hours graduate advanced course work option. The thesis option consists of a research project satisfying all requirements of the Graduate School. The final report (thesis) must be completed and successfully defended in an oral examination before the major committee. Up to 8 credit hours of 7950, Thesis, may count toward degree requirement of 30 graduate credit hours
Department Core and Electives
I. Mathematics: 6 Hours min.
- Department-approved courses with a mathematics or statistics content.
II. Department Courses: 15 Hours min.
III. Thesis Option: 8 Hours max.
IV. Ethics and Academic Integrity: 1 Hour