A professional master's degree (MSAES) in aerospace engineering sciences from CU Boulder is designed for working engineers and people planning to pursue a career in industry. We designed the program with industry partners to meet your needs, further your career and with your location in mind—the degree can be earned on campus or 100 percent online.
For more information, visit the department's Prospective Graduate Students webpage.
Requirements
Program Requirements
Students must complete a total of 30 credit hours, equivalent to 10 classes, with a grade of B- or better and a cumulative GPA of at least 3.00. Of these 30 credits, at least 24 credit hours must be completed at the 5000 level or above, and at least 18 of those credits must be in Aerospace Engineering (ASEN) courses, and one approved math course. (Note: EMEN 5405 Fundamentals of Systems Engineering counts as an ASEN class. Seminar credits, even those earned in other disciplines, do not count toward the MS degree.)
Up to 6 credits can be taken at the 4000 level in approved engineering, math and science departments (ECEN, CVEN, MCEN, CHEN, CSCI, ATOC, ASTR, PHYS, MCDB, BCHM, MSEN, BMEN, APPM, MATH, STAT, CHEM, IPHY, GEOL, ENVD). ASEN courses level 4000 or below do not count towards AES graduate degrees.
| Code | Title | Credit Hours |
|---|---|---|
| ASEN Courses | 18 | |
| Choose from the list below (subject to change) | ||
| Introduction to Finite Elements | ||
| Spacecraft Attitude Dynamics and Control | ||
| Mechanics of Aerospace Structures | ||
| Linear Control Systems | ||
| Space Life Sciences | ||
| Dynamics of Aerospace Structures | ||
| Space Flight Dynamics | ||
| Fundamentals of Fluid Dynamics | ||
| Analytical Astrodynamics | ||
| Space Propulsion | ||
| Microavionics: Introduction to PIC Microcontrollers for Aerospace Systems | ||
| Introduction to Global Navigation Satellite Systems | ||
| Introduction to Aeroelasticity | ||
| Automatic Control Systems | ||
| Boundary Layers and Convection | ||
| Introduction to Hypersonics | ||
| Spacecraft Design | ||
| Fundamentals of Gas Dynamics | ||
| Space Habitat Design | ||
ASEN 5168 | ||
| Composite Structures and Materials | ||
| Large Space Structures Design | ||
| Medicine in Space and Surface Environments | ||
| Introduction to Atmospheric Radiative Transfer and Remote Sensing | ||
| Radar and Remote Sensing | ||
| Molecular Thermodynamics and Kinetics | ||
| Aerospace Environment | ||
| Mission Design and Development for Space Sciences | ||
| Special Topics (Molecular Thermodynamics and Kinetics) | ||
| Independent Study | ||
| Interplanetary Mission Design | ||
| Advanced Spacecraft Dynamics and Control | ||
| Experimental Fluid Mechanics | ||
| Spacecraft Formation Flying | ||
| Space Vehicle Guidance and Control | ||
| Optimal Trajectories | ||
| Nonlinear Control Systems | ||
| Turbulent Flows | ||
| Space Instrumentation | ||
| Data Assimilation and Inverse Methods for Earth & Geospace Observations | ||
| Advanced Astrodynamics | ||
| Molecular Gas Dynamics and DSMC | ||
| Satellite Geodesy | ||
| Statistical Orbit Determination | ||
| Advanced Global Navigation Satellite Systems: Software and Applications | ||
| Global Navigation Satellite System (GNSS) Receiver Architecture | ||
| GNSS for Remote Sensing of the Atmosphere, Ionosphere, and Earth Surface | ||
| Nonlinear Finite Element Methods | ||
| System Identification for Control | ||
| Spacecraft Life Support Systems | ||
| Human Operation of Aerospace Vehicles | ||
| Fundamentals of Spectroscopy for Optical Remote Sensing | ||
| Extravehicular Activity | ||
| Computational Fluid Dynamics | ||
| Remote Sensing Data Analysis | ||
| Lidar Remote Sensing | ||
| Special Topics | ||
| Fundamentals of Systems Engineering | ||
| Math Course | 3 | |
| Choose from one of the following approved options: | ||
| Statistical Estimation for Dynamical Systems | ||
| Experimental Design and Statistical Methods | ||
| Engineering Data Analysis Methods | ||
ASEN 5417 | ||
| Special Topics (Multi-Object Filtering Theory) | ||
| Uncertainty Quantification | ||
| Numerical Solution of Partial Differential Equations | ||
| Random Processes for Engineers | ||
| Theory and Application of Digital Filtering | ||
| Detection and Extraction of Signals from Noise | ||
| Introduction to Applied Statistical Methods | ||
4000, 5000, 6000, or 7000 level APPM course | ||
4000, 5000, 6000, or 7000 level MATH course | ||
4000, 5000, 6000, or 7000 level STAT course | ||
| Additional Coursework | 9 | |
| Total Credit Hours | 30 | |
Time Limit
All degree requirements must be completed within four years of the date of commencing coursework.