The combined MS program in applied physics and engineering allows graduate students to receive training in one of three concentrations of the electrical and computer engineering department while also receiving fundamental graduate-level physics training that is relevant to that area.
Thesis Option
Students may register for an additional two semesters of thesis work. Depending on the affiliation of the thesis advisor, students may register for Thesis (PHYS 7990) for a total of 8 semester hours or 4 semester hours of Master’s Project (EECE 7945) followed by 4 semester hours of Thesis (EECE 7990). Thesis credits cannot be substituted for any of the coursework listed above. This option requires a total of 40 semester hours for the master's degree. A thesis committee is composed of an advisor and two faculty members from physics or electrical engineering.
- Concentrations and course offerings may vary by campus and/or by program modality. Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality.
- Certain options within the program may be required at certain campuses or for certain program modalities. Please consult with your advisor or admissions coach for requirements at your campus or for your program modality.
Complete all courses and requirements listed below unless otherwise indicated.
Concentrations
Complete one of the following concentrations:
Optional Thesis
Course List | Code | Title | Hours |
| 8 |
| Thesis (completed twice over two semesters) | |
| Master’s Project | |
| Thesis | |
Program Credit/GPA Requirements
32 total semester hours required (40 with optional thesis)
Minimum 3.000 GPA required
Analysis, Modeling, and Computation
Course List | Code | Title | Hours |
| EECE 7205 | Fundamentals of Computer Engineering | 4 |
| PHYS 7321 | Computational Physics | 4 |
| 12 |
| Computer Vision | |
| High-Performance Computing | |
| Data Visualization | |
| Simulation and Performance Evaluation | |
| Introduction to Machine Learning and Pattern Recognition | |
| Fundamentals of Computer Engineering | |
| Computational Methods in Electromagnetics | |
| Computer Architecture | |
| VLSI Design | |
| Fundamentals of Computer Networks | |
| 12 |
| Network Science 1 | |
| Principles of Experimental Physics | |
| Classical Mechanics/Math Methods | |
| Statistical Physics | |
| Dynamical Processes in Complex Networks | |
Electromagnetics, Plasma, and Optics
Course List | Code | Title | Hours |
| EECE 7203 | Complex Variable Theory and Differential Equations | 4 |
| PHYS 7302 | Electromagnetic Theory | 4 |
| 12 |
| Special Topics in Electrical and Computer Engineering (Subsurface Imaging) | |
| Optics for Engineers | |
| Electromagnetic Theory 1 | |
| Microwave Circuit Design for Wireless Communication | |
| Electromagnetic Theory 2 | |
| Computational Methods in Electromagnetics | |
| Antennas and Radiation | |
| Modern Imaging | |
| 12 |
| Principles of Experimental Physics | |
| Statistical Physics | |
| Quantum Theory 1 | |
| Quantum Theory 2 | |
| Computational Physics | |
| Condensed Matter Physics | |
| Biological Physics 1 | |
Microsystems, Materials, and Devices
Course List | Code | Title | Hours |
| EECE 7201 | Solid State Devices | 4 |
| PHYS 7324 | Condensed Matter Physics | 4 |
| 12 |
| Micro- and Nanofabrication | |
| Electric Drives | |
| Applied Probability and Stochastic Processes | |
| Analog Integrated Circuit Design | |
| Integrated Circuits for Mixed Signals and Data Communication | |
| Introduction to Microelectromechanical Systems (MEMS) | |
| Microwave Circuit Design for Wireless Communication | |
| VLSI Design | |
| Advanced Special Topics in Electrical and Computer Engineering | |
| 12 |
| Principles of Experimental Physics | |
| Classical Mechanics/Math Methods | |
| Electromagnetic Theory | |
| Statistical Physics | |
| Quantum Theory 1 | |
| Quantum Theory 2 | |
| Computational Physics | |
| Topics: Condensed Matter Physics | |
