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 |
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses | (9) | |
| MMAE 501 | Engineering Analysis I | 3 |
| MMAE 541 | Advanced Dynamics | 3 |
| MMAE 543 | Modern Control Systems | 3 |
| Autonomous Systems and Robotics (ASR) Electives | (23) | |
| Select 23 credit hours from the following: | 23 | |
| Aircraft Flight Mechanics | 3 | |
| Spacecraft Dynamics | 3 | |
| Systems Analysis and Control | 3 | |
| Computer-Aided Design and Manufacturing | 3 | |
| Electrified Vehicle Powertrains | 3 | |
| Data Driven Modeling | 3 | |
| Engineering Analysis II | 3 | |
MMAE 539 | 3 | |
| Robotics | 3 | |
| Advanced CAD/CAM | 3 | |
| Optimal Control | 3 | |
| Optimal State Estimation | 3 | |
| Introduction to the Space Environment | 3 | |
| Introduction to Navigation Systems | 3 | |
| Project for Master of Engineering Students | 1-3 | |
| Special Topics | 1-3 | |
| Applied Optimization for Engineers | 3 | |
| Computer Vision and Image Processing | 3 | |
| Machine and Deep Learning | 3 | |
| Statistical Signal Processing | 3 | |
| Cyber-Physical Systems Security and Design | 3 | |
| Machine Learning | 3 | |
| Regression | 3 | |
| Stochastic Partial Differential Equations | 3 | |
| Modern Methods in Discrete Applied Mathematics | 3 | |
| Regression | 3 | |
| Bayesian Computational Statistics | 3 | |
| Total Credit Hours | 32 | |
- 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 |
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses | (9) | |
| MMAE 501 | Engineering Analysis I | 3 |
| MMAE 541 | Advanced Dynamics | 3 |
| MMAE 543 | Modern Control Systems | 3 |
| Autonomous Systems and Robotics (ASR) Electives | (15-17) | |
| Select 15-17 credit hours from the following: | 15-17 | |
| Aircraft Flight Mechanics | 3 | |
| Spacecraft Dynamics | 3 | |
| Computer-Aided Design and Manufacturing | 3 | |
| Data Driven Modeling | 3 | |
| Engineering Analysis II | 3 | |
MMAE 539 | 3 | |
| Robotics | 3 | |
| Advanced CAD/CAM | 3 | |
| Optimal Control | 3 | |
| Optimal State Estimation | 3 | |
| Introduction to the Space Environment | 3 | |
| Introduction to Navigation Systems | 3 | |
| Special Topics | 1-3 | |
| Machine Learning | 3 | |
| Applied Optimization for Engineers | 3 | |
| Cyber-Physical Systems Security and Design | 3 | |
| Computer Vision and Image Processing | 3 | |
| Machine and Deep Learning | 3 | |
| Statistical Signal Processing | 3 | |
| Regression | 3 | |
| Regression | 3 | |
| Statistical Learning | 3 | |
| Bayesian Computational Statistics | 3 | |
| Thesis Research | (6-8) | |
| MMAE 591 | Research 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.
