Human Systems Engineering (Intelligent Systems), MS
Artificial Intelligence, Automation, Autonomous Systems, Human Factors, Human Systems Integration, Mechatronics, Robotics, approved for STEM-OPT extension
Intelligent technologies have seen rapid growth in the last decade. These technologies are now seen within public sector industries such as military and space exploration, private sectors such as medical manufacturing, and the education sector. The rise of learning engineering focuses on interactive e-learning environments and the use of learning technology within classrooms and training settings. The real change will be the way humans can interact with the new robotic and AI assistant technologies.
The MS program in human systems engineering with a concentration in intelligent systems provides students with a deep understanding of the science of human performance and experience in the engineering of intelligent systems, robotics and autonomous systems industries.
Students in this program participate in courses focusing on methods and tools in applied cognitive science and foundations of human systems engineering, including uses of simulation and robotics, among other topics.
This concentration prepares students for facilitating the future of work when humans will work closely with technology in the military, space exploration, education, manufacturing, medicine and agriculture.
This program may be eligible for an Optional Practical Training extension for up to 36 months. This OPT work authorization term may help international students gain skills and experience in the U.S. Those interested in an OPT extension should review ASU degrees that qualify for the STEM-OPT extension at ASU's International Students and Scholars Center website.
The OPT extension only applies to students on an F-1 visa and does not apply to students completing the degree through ASU Online.
- College/school:
Ira A. Fulton Schools of Engineering
- Location: Polytechnic
Acceptance to the graduate program requires a separate application. Students typically receive approval to pursue the accelerated master’s during the junior year of their bachelor's degree program. Interested students can learn about eligibility requirements and how to apply.
30 credit hours and a portfolio, or
30 credit hours and a thesis, or
30 credit hours including the required applied project course (HSE 593)
Required Core (12 credit hours) Concentration (9 credit hours) Electives and Research (3 or 9 credit hours) Culminating Experience (0 or 6 credit hours) Additional Curriculum Information Students completing a portfolio for the culminating experience must complete nine credit hours of electives and research coursework.
HSE 520 Methods and Tools in Applied Cognitive Science (3)
HSE 530 Intermediate Statistics for Human Systems Engineering (3)
HSE 531 Data Analytics: Modeling Human Subjects Data (3)
HSE 542 Foundations of Human Systems Engineering (3)
HSE 593 Applied Project (6) or
HSE 599 Thesis (6) or
portfolio (0)
For electives and research coursework, enrollment in HSE 592 Research for three credit hours is required for students completing a thesis and optional for students completing the applied project or portfolio culminating experience. Students in all culminating experience options should contact the academic unit for an approved electives list.
Applicants must fulfill the requirements of both the Graduate College and the Ira A. Fulton Schools of Engineering.
Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in engineering, robotics engineering, mathematics or a related field from a regionally accredited institution. Students must have sufficient mathematics background for this concentration, including up to calculus III and linear algebra.
Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in their first bachelor's degree program or in the last 60 hours of their first bachelor's degree program; or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in nine semester hours of graduate coursework from a U.S. institution; or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable conferred master's degree program from a regionally accredited college or university.
All applicants must submit:
- graduate admission application and application fee
- official transcripts
- curriculum vitae or professional resume
- professional statement
- research summary
- three letters of recommendation
- proof of English proficiency
Additional Application Information
An applicant whose native language is not English must provide proof of English proficiency regardless of their current residency.
Global Launch at ASU offers an online alternative to standardized testing for international students who are seeking admission to ASU but need proof of English proficiency.
Unofficial transcripts may be submitted at time of application. If admitted, applicants must then submit official transcripts to ASU Graduate Admission Services.
The letters of recommendation should be from college professors, employers (in a human factors or intelligent systems-related field), or a combination of both academic and professional references.
Program learning outcomes identify what a student will learn or be able to do upon completion of their program. This program has the following program outcomes:
- Apply the appropriate statistical analysis, address violations of assumptions (e.g., sphericity), & conduct analyses using SPSS to answer Intelligent Systems-based questions.
- Apply the methods of human systems engineering create hypothesis or solve an applied problem related to Intelligent Systems.
- Conduct independent research to address problems in the space of intelligent systems
Graduates skilled in human interactions with robots, artificial intelligence agents and autonomous systems are needed to design the future of work. To do this, graduates are equipped to join teams of human and nonhuman agents who interact safely and effectively with a positive impact on society and human well-being. The individuals who design those interactions and who decide what tasks to allocate to AI need to understand human capabilities and limitations and be able to work on multidisciplinary teams to ensure human considerations are accounted for.
Human Systems Engineering
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SUTON 240
polygrad@asu.edu
480-727-4723
3 year programs
These programs allow students to fast-track their studies after admission and earn a bachelor's degree in three years or fewer while participating in the same high-quality educational experience of a 4-year option. Students should talk to their academic advisor to get started.
Accelerated master's
These programs allow students to accelerate their studies to earn a bachelor's plus a master's degree in as few as five years (for some programs).
Each program has requirements students must meet to be eligible for consideration. Acceptance to the graduate program requires a separate application. Students typically receive approval to pursue the accelerated master’s during the junior year of their bachelor's degree program. Interested students can learn about eligibility requirements and how to apply.
