Electrical Engineering, MSEE
Master of Science in Electrical Engineering Degree Program Requirements
| General Requirements | ||
| Select two of the following: | 6 | |
| Engineering Probability and Statistics | ||
| Engineering Analysis I | ||
| Engineering Analysis II | ||
| Engineering Numerical Methods | ||
| Technical Electives (see list of technical elective options below) | ||
| At least two technical electives must be taken in the Electrical Engineering department | 12 | |
| Concentration (select one concentration from below): | 12 | |
| Total Hours | 30 | |
Thesis Concentration
| ELEG 5699 | Thesis | 6 |
| Select two classes from one of the tracks listed below: | 6 | |
| Computer Engineering Track | ||
| Advanced Computer Systems Design | ||
| Computer Architecture & Advanced Logic Design | ||
| The Internet: Design and Implementation | ||
| Fault Tolerant Computing | ||
| Information Networks | ||
| Statistical Learning for Big Data | ||
| Deep Learning | ||
| Modern Artificial Intellegence | ||
| Advanced Artificial Intelligence | ||
| Intro to High Perf Computing | ||
| Selected Topics in Deep Learning | ||
| Introduction to Bioinformatics | ||
| Advanced Bioinformatics | ||
| Computational Systems Biology | ||
| Computational Modeling of Biological Systems | ||
| Communication and Signal Processing Track | ||
| The Internet: Design and Implementation | ||
| Wireless Networks | ||
| Digital Communication | ||
| Coding Theory | ||
| Advanced Broadband Communications Systems | ||
| Telecommunications Network Security | ||
| Signal Detection and Estimation | ||
| Stochastic Processes | ||
| Wavelets and Their Applications | ||
| Microelectronics Track | ||
| VLSI and ULSI Design | ||
| Advanced Photonics Materials and Devices | ||
| Advanced Quantum Devices | ||
| Advanced Characterization of Materials and Devices | ||
| Advanced Solid State | ||
| Power Engineering Track | ||
| Power System Faults Protective | ||
| Power System Stability | ||
| High Voltage Direct Current | ||
| Power Gen Oper Control | ||
| Advanced Power System | ||
| Power Electronics Power System | ||
| Advanced Electric Drives | ||
| Advanced Power Electronics | ||
| Fundamentals of Power Electronics and Motor Drives | ||
| Renewable Energy Sources | ||
| Smart Grid: Fundamentals of Design and Analysis | ||
| Total Hours | 12 | |
Non-Thesis Concentration
| ELEG 5391 | Engineering Project | 3 |
| Select three classes from one of the tracks listed below: | 9 | |
| Computer Engineering Track | ||
| Advanced Computer Systems Design | ||
| Computer Architecture & Advanced Logic Design | ||
| The Internet: Design and Implementation | ||
| Fault Tolerant Computing | ||
| Information Networks | ||
| Statistical Learning for Big Data | ||
| Deep Learning | ||
| Modern Artificial Intellegence | ||
| Advanced Artificial Intelligence | ||
| Intro to High Perf Computing | ||
| Selected Topics in Deep Learning | ||
| Introduction to Bioinformatics | ||
| Advanced Bioinformatics | ||
| Computational Systems Biology | ||
| Computational Modeling of Biological Systems | ||
| Communication and Signal Processing Track | ||
| The Internet: Design and Implementation | ||
| Wireless Networks | ||
| Digital Communication | ||
| Coding Theory | ||
| Advanced Broadband Communications Systems | ||
| Telecommunications Network Security | ||
| Stochastic Processes | ||
| Wavelets and Their Applications | ||
| Signal Detection and Estimation | ||
| Microelectronics Track | ||
| VLSI and ULSI Design | ||
| Advanced Photonics Materials and Devices | ||
| Advanced Quantum Devices | ||
| Advanced Characterization of Materials and Devices | ||
| Advanced Solid State | ||
| Power Engineering Track | ||
| Power System Faults Protective | ||
| Power System Stability | ||
| High Voltage Direct Current | ||
| Power Gen Oper Control | ||
| Advanced Power System | ||
| Power Electronics Power System | ||
| Advanced Electric Drives | ||
| Advanced Power Electronics | ||
| Fundamentals of Power Electronics and Motor Drives | ||
| Renewable Energy Sources | ||
| Smart Grid: Fundamentals of Design and Analysis | ||
| Total Hours | 12 | |
Technical Electives
| Electrical Engineering Technical Electives | ||
| ELEG 6310 | Advanced Computer Systems Design | 3 |
| ELEG 6311 | Computer Architecture & Advanced Logic Design | 3 |
| ELEG 6312 | The Internet: Design and Implementation | 3 |
| ELEG 6314 | Fault Tolerant Computing | 3 |
| ELEG 6315 | Information Networks | 3 |
| ELEG 6316 | Statistical Learning for Big Data | 3 |
| ELEG 6318 | Deep Learning | 3 |
| ELEG 6320 | Wireless Networks | 3 |
| ELEG 6321 | Digital Communication | 3 |
| ELEG 6322 | Coding Theory | 3 |
| ELEG 6324 | Advanced Broadband Communications Systems | 3 |
| ELEG 6325 | Telecommunications Network Security | 3 |
| ELEG 6330 | Signal Detection and Estimation | 3 |
| ELEG 6331 | Stochastic Processes | 3 |
| ELEG 6333 | Wavelets and Their Applications | 3 |
| ELEG 6342 | VLSI and ULSI Design | 3 |
| ELEG 6350 | Advanced Photonics Materials and Devices | 3 |
| ELEG 6351 | Advanced Quantum Devices | 3 |
| ELEG 6352 | Advanced Characterization of Materials and Devices | 3 |
| ELEG 6354 | Advanced Solid State | 3 |
| ELEG 6360 | Modern Artificial Intellegence | 3 |
| ELEG 6361 | Advanced Artificial Intelligence | 3 |
| ELEG 6365 | Intro to High Perf Computing | 3 |
| ELEG 6370 | Selected Topics in Deep Learning | 3 |
| ELEG 6371 | Power System Faults Protective | 3 |
| ELEG 6372 | Power System Stability | 3 |
| ELEG 6373 | High Voltage Direct Current | 3 |
| ELEG 6374 | Power Gen Oper Control | 3 |
| ELEG 6375 | Advanced Power System | 3 |
| ELEG 6376 | Power Electronics Power System | 3 |
| ELEG 6377 | Advanced Electric Drives | 3 |
| ELEG 6378 | Advanced Power Electronics | 3 |
| ELEG 6380 | Introduction to Bioinformatics | 3 |
| ELEG 6381 | Advanced Bioinformatics | 3 |
| ELEG 6382 | Computational Systems Biology | 3 |
| ELEG 6383 | Computational Modeling of Biological Systems | 3 |
| ELEG 6385 | Fundamentals of Power Electronics and Motor Drives | 3 |
| ELEG 6386 | Renewable Energy Sources | 3 |
| ELEG 6387 | Smart Grid: Fundamentals of Design and Analysis | 3 |
| ELEG 6391 | Special Topics in Elec Engr 1 | 3 |
| Other Technical Electives | ||
| CHEG 5302 | Microelectronics Materials | 3 |
| CINS 5306 | Data Structures and Algorithms | 3 |
| COMP 5315 | Design and Analysis of Algorithms | 3 |
| COMP 5324 | Distributed Computing and Parallel Processing | 3 |
| CVEG 5300 | Physical/Chemical Unit Operations in Water and Wastewater Treatment | 3 |
| CVEG 5303 | Finite Element Analysis | 3 |
| GNEG 5304 | Engineering Probability and Statistics | 3 |
| GNEG 5306 | Engineering Analysis I | 3 |
| GNEG 5307 | Engineering Analysis II | 3 |
| GNEG 5313 | Engineering Numerical Methods | 3 |
| GNEG 5319 | Special Topics | 3 |
| MCEG 5302 | Advanced Thermodynamics | 3 |
| MCEG 5325 | Advanced Engineering Materials | 3 |
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Special topics courses vary in content and may cover areas such as artificial intelligence, machine learning, cybersecurity, and power systems.
Master of Science in Electrical Engineering Degree Sequence
| First Year | |||
|---|---|---|---|
| Fall - Semester 1 | Hours | Spring - Semester 2 | Hours |
| General Requirement | 3 | General Requirement | 3 |
| Concentration Track Elective | 3 | Concentration Track Elective | 3 |
| Technical Elective | 3 | Technical Elective | 3 |
| Total | 9 | Total | 9 |
| Total Hours: 18 | |||
| Second Year | |||
|---|---|---|---|
| Fall - Semester 1 | Hours | Spring - Semester 2 | Hours |
| Concentration Track Elective - Non-Thesis Option | 3 | Option | 6 |
or Technical Elective - Thesis Option | Non-Thesis Option | ||
| Technical Elective | 3 | ||
and | |||
Technical Elective | |||
| Thesis Option | |||
| Total | 6 | Total | 6 |
| Total Hours: 12 | |||
| Name | Unit |
|---|---|
| Total Semester Credit Hours: 30 |
Marketable Skills
Marketable skills, as defined by the Texas Higher Education Coordinating Board's 60x30TX Plan, include interpersonal, cognitive, and applied skill areas, are valued by employers, and can be either primary or complementary to a major. Marketable skills are acquired by students through education, including curricular, co-curricular, and extracurricular activities.
MS Electrical Engineering
Degree Skills
- Analytical, technical and engineering design skills necessary to innovate and create electronic components, sensors and systems
- Advanced training in one of the following areas of emphasis in electrical engineering: microelectronics, computer engineering, telecommunications and signal processing, energy and power systems, cybersecurity, and bioinformatics
- Technical, cognitive and interpersonal skills
Concentration Skills
- Computer engineering
- Communication and signal processing and the power systems
- Advanced skills in the microelectronics area
Co-curricular and Extracurricular Skills
- Advanced skills in leadership and communication
- Advanced skills in system design and analysis
- Advanced skills in machine learning, deep learning and artificial intelligence