M.S. in Uncrewed and Autonomous Systems Engineering

The MS in Uncrewed & Autonomous Systems Engineering (MSUNSE) prepares students to enter the cross-disciplinary engineering field of uncrewed systems and automated systems for land, sea, or air. The 30-credit program, built on rigorous coursework, allows students the option of developing and demonstrating knowledge attainment through project-based experiences. The program’s fifteen-credit core provides breadth across pertinent issues in uncrewed and autonomous systems: uncrewed platforms; planning and localization; sensors and data links; control systems; reliability, safety, and certification; and networking.

The program’s remaining fifteen credits can follow one of two options.

Under the Graduate Project option, students must complete two approved (technical electives), two open electives, and a one-term Graduate Project course.
Under the Thesis Option, students must complete one approved elective, one open elective, a course on research methods, and six credits of Thesis.

Admissions Criteria

Students will:

Apply fundamental engineering practices to analyze, design, and support the implementation and development of uncrewed and/or autonomous systems.
Solve engineering problems in uncrewed/autonomous systems using knowledge gained on advanced topics covered from the program's core and chosen electives.
Communicate issues pertaining to uncrewed and autonomous systems to peers.
Implement safe systems through analysis and design techniques.

Program Requirements

The program supports the Thesis and Graduate Project options

Core Requirements		15
AE/EE/ME 527	Modern Control Systems	3
CEC 528	Networks	3
EE 528	Sensors and Data Links	3
ME 503	Introduction to Autonomous Vehicle Systems	3
SYS 505	System Safety and Certification	3
Thesis Option
One (1) Approved Elective		3
One (1) Open Elective ^*		3
EGR 600	Research Methods for Engineers	3
UAS 700	Thesis	3
UAS 700	Thesis	3
Graduate Project Option
Two (2) Approved Electives		6
Two (2) Open Electives ^*		6
UAS 690	Graduate Project	3
Total Credits		30

Approved Electives

Approved Electives
AE 506	Airplane Dynamic Stability	3
AE 553	Hybrid and Urban Air Mobility	3
AE 623	Navigation, Guidance and Control	3
AE 626	Advanced Topics in Discrete Control Theory	3
CEC 500	Engineering Project Management	3
CEC 526	Sensor Data Fusion	3
CEC 527	Mobile Sensor Networks	3
CEC 530	Image Processing and Machine Vision	3
CEC 610	State and Parameter Estimation	3
CS 528	Multi-Agent Systems	3
CS 529	Computer Security	3
CS 555	Artificial Intelligence	3
EE 500	Digital Control Systems	3
EE 505	Advanced Mechatronics	3
EE 510	Linear Systems	3
EE 515	Random Signals	3
EE 525	Avionics and Radio Navigation	3
EE 529	Electro-Optical Systems	3
EE 625	Satellite-Based Communications and Navigation	3
ME 513	Perception Methods for Autonomous Systems	3
ME 520	Sensor Processing with Applications	3
ME 523	Modeling and Simulation of Linear Dynamic Systems	3
ME 610	Automation and Additive Manufacturing	3
ME 615	Pattern Recognition and Machine Learning	3
SYS 500	Fundamentals of Systems Engineering	3
SYS 530	System Requirements Analysis and Modeling	3
SYS 560	Introduction to Systems Engineering Management	3
SYS 610	System Architecture Design and Modeling	3
SYS 625	System Quality Assurance	3

*: Open electives are 500-level or higher courses relevant to uncrewed and/or autonomous systems. Students should see their advisor to determine the suitability of their open electives.