Human Systems Engineering (Intelligent Systems), MS

Program Overview

It equips graduates to design and implement intelligent systems that seamlessly collaborate with humans, preparing them for careers in the future of work where humans and technology collaborate effectively. The program offers a blend of core courses, concentration electives, and a culminating experience, ensuring a comprehensive understanding of the field.

Program Outline

Degree Overview:

Title:

Human Systems Engineering (Intelligent Systems), MS

Overview:

This program focuses on the intersection of human factors, artificial intelligence, and engineering. It equips graduates with the expertise to design and implement intelligent systems that effectively work with humans. This program emphasizes the future of work, where humans will increasingly collaborate with advanced technologies and autonomous systems.

Objectives:

• Provide students with a deep understanding of human performance and the engineering of intelligent systems.
• Equip graduates to design and implement intelligent systems that work seamlessly with humans.
• Prepare students for careers in the future of work, where humans and intelligent systems collaborate effectively.

Outline:

Required Core (12 credit hours):

• 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)

Concentration (9 credit hours):

Students choose 9 credit hours of electives focusing on areas such as artificial intelligence, human-computer interaction, robotics, and autonomous systems.

Electives and Research (3 or 9 credit hours):

Students can choose additional electives or pursue research opportunities related to their interests.

Culminating Experience (0 or 6 credit hours):

Students can choose between a thesis (6 credit hours), an applied project (6 credit hours), or a portfolio (0 credit hours) to demonstrate their learning outcomes.

Assessment:

Assessment methods for the program include:

• Exams and quizzes
• Assignments and projects
• Presentations
• Research papers
• The culminating experience (thesis, applied project, or portfolio)

Teaching:

The program employs a variety of teaching methods, including:

• Lectures
• Seminars
• Workshops
• Laboratory exercises
• Guest lectures by industry experts
The program boasts a highly qualified faculty with expertise in human factors, artificial intelligence, engineering, and related fields.

Careers:

Graduates of this program are prepared for careers in diverse fields, including:

• Robotics and automation
• Artificial intelligence
• Human-computer interaction
• Aerospace engineering
• Medical device design
• Education and training
• The program is STEM-OPT designated, allowing international students to extend their work authorization in the U.S. for up to 36 months.
• The program is designed to equip graduates with the skills and knowledge needed to be leaders in the future of work.
• The program offers a unique blend of human factors, artificial intelligence, and engineering, addressing the growing need for professionals who understand the interaction between humans and intelligent systems.

Conclusion:

This program provides a comprehensive and in-depth understanding of human systems engineering in the context of intelligent systems. It equips graduates with the necessary skills and knowledge to design and implement intelligent systems that effectively work with humans, preparing them for careers in various fields.