Master of Science in Autonomous Systems and Robotics

The master of science degree program advances knowledge through post-baccalaureate coursework. The program requires 32 credit hours. Students have the option of completing a thesis based on up to eight credit hours of research (MMAE 591) with the approval of a thesis adviser, or completing the program with courses, which may include up to six credit hours of projects (MMAE 594 or MMAE 597). In line with the department's approach to its graduate programs, a student has considerable flexibility, in consultation with their adviser, in formulating an M.S. program. Registration  and 80%-class session attendance--required for a passing grade--in the Seminar course MMAE 593 is required of all M.S. graduate students (Non-thesis or Thesis) and Ph.D. students. A satisfactory grade is required, in each semester of full-time enrollment, to fulfill degree requirements.

Before completion of the first semester of graduate study, full-time students should select a permanent adviser. Graduate students pursuing the M.S. degree on a part-time basis should select a permanent adviser before registering for their twelfth credit hour. The student, in consultation with the adviser, prepares a program of study that reflects individual needs and interests. The adviser as well as the department's graduate studies committee and the department chair must approve this program. Students with the thesis option are required to pass an oral comprehensive examination on their thesis and related topics. The examination committee consists of at least three appropriate faculty members who are nominated by the thesis adviser and appointed by the department's graduate studies committee.

Admissions Requirements: GPA 3.0, GRE 300, TOEFL - according to university minimum standards and B.S. Degree in Mechanical Engineering, Aerospace Engineering, Electrical Engineering1, Physics, Industrial Engineering1, Computer Science1 or Mathematics1.

1Requires the following course (or equivalent) to be taken prior to first term: MMAE 305 – Dynamics

Master of Science in Autonomous Systems and Robotics (Coursework Only Option)

Minimum Credits Required 32
Maximum 400-Level Credit 9
Maximum 700-Level Credit 6
Required Courses (9)
MMAE 501Engineering Analysis I3
MMAE 541Advanced Dynamics3
MMAE 543Modern Control Systems3
Autonomous Systems and Robotics (ASR) Electives (23)
Select 23 credit hours from the following:23
Aircraft Flight Mechanics3
Spacecraft Dynamics3
Systems Analysis and Control3
Computer-Aided Design and Manufacturing3
Electrified Vehicle Powertrains3
Data Driven Modeling3
Engineering Analysis II3
MMAE 539
3
Robotics3
Advanced CAD/CAM3
Optimal Control3
Optimal State Estimation3
Introduction to the Space Environment3
Introduction to Navigation Systems3
Project for Master of Engineering Students1-3
Special Topics1-3
Applied Optimization for Engineers3
Computer Vision and Image Processing3
Machine and Deep Learning3
Statistical Signal Processing3
Cyber-Physical Systems Security and Design3
Machine Learning3
Regression3
Stochastic Partial Differential Equations3
Modern Methods in Discrete Applied Mathematics3
Regression3
Bayesian Computational Statistics3
Total Credit Hours32
1

A course may not be chosen if it is already being applied to the ASR elective course requirement.

Master of Science in Autonomous Systems and Robotics (Thesis Option)

Minimum Credits Required 32
Maximum 400-Level Credit 9
Maximum 700-Level Credit 6
Required Courses (9)
MMAE 501Engineering Analysis I3
MMAE 541Advanced Dynamics3
MMAE 543Modern Control Systems3
Autonomous Systems and Robotics (ASR) Electives (15-17)
Select 15-17 credit hours from the following:15-17
Aircraft Flight Mechanics3
Spacecraft Dynamics3
Computer-Aided Design and Manufacturing3
Data Driven Modeling3
Engineering Analysis II3
MMAE 539
3
Robotics3
Advanced CAD/CAM3
Optimal Control3
Optimal State Estimation3
Introduction to the Space Environment3
Introduction to Navigation Systems3
Special Topics1-3
Machine Learning3
Applied Optimization for Engineers3
Cyber-Physical Systems Security and Design3
Computer Vision and Image Processing3
Machine and Deep Learning3
Statistical Signal Processing3
Regression3
Regression3
Statistical Learning3
Bayesian Computational Statistics3
Thesis Research (6-8)
MMAE 591Research and Thesis M.S.6-8
1

A course may not be chosen if it is already being applied to the ASAR elective course requirements.