Human factors psychology is an applied field of study that broadly covers how we work, use technology, and interact within small and large socio-technical systems. It encompasses and overlaps with a number of related specializations, such as ergonomics, engineering psychology, human-systems engineering, cognitive engineering, UI/UX, human-computer interaction, usability, industrial/organizational psychology, and human-centered design.
Human factors is a necessary discipline that explores the central role humans play in the Fourth Industrial Revolution, and how technology can serve us and improve work, society, and life. Core human factors skills are frequently listed among critical skills needed by companies.
To obtain a Bachelor of Science in Human Factors at Michigan Tech, a minimum of 86–88 credits fundamental to understanding humans, technology, and the design of human-technological systems are needed. This requirement includes 43 credits in core human factors courses.
You are also required to take 39 credits of general education, including 24 credits of HASS general education courses and 15 credits of STEM general education courses. Finally, you will take 10–14 credits of free electives and 7 credits representing a culminating experience, for a total degree requirement of 120 credits. In line with University requirements, 3 credits of co-curriculars are also required.
Program Learning Goals
By the completion of this program, students will be able to:
- identify, formulate, and address complex socio-technical problems by applying human factors methods, principles, regulations, guidelines, and standards.
- apply human-centered design practices to identify requirements and produce solutions that enhance performance, safety, comfort, and well-being.
- communicate effectively—within multidisciplinary teams, to a range of stakeholders, and via multiple modalities.
- recognize ethical and professional responsibilities in human factors research and design, and make informed decisions through a systems approach that takes into account the global, economic, environmental, and societal contexts that impact human-technology interaction.
- function effectively within a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- conduct user research and evaluation, analyze and interpret human performance data, and apply the results as part of an iterative design process.
- acquire and apply new knowledge as needed, using appropriate learning strategies.