Curriculum in Master of Science in Electrical Engineering Masters
A candidate for the M.S. degree in electrical engineering must comply with the rules and regulations as outlined in the WVU Graduate Catalog and the specific requirements of the Statler College and the Lane Department of Computer Science and Electrical Engineering.
Program Requirements
All M.S. degree candidates are required to perform research and follow a planned program of study. The student’s research advisor, in conjunction with the student’s Advising and Examining Committee (AEC) will be responsible for determining the plan of study appropriate to the student’s needs. The underlying principle of the planned program is to provide the students with the necessary support to complete their degree and prepare them for their career.
Curriculum Requirements
Code | Title | Hours |
---|---|---|
A minimum cumulative GPA of 3.0 is required | ||
At least 9 credit hours must have the EE subject code. * | ||
No more than 9 credit hours may be at the 400 level. | ||
Course Requirements ** | ||
Plan of Study | ||
EE 796 | Graduate Seminar | 1 |
Core Course Requirements + | 9 | |
Select three of the following: | ||
Advanced Networking Concepts | ||
Stochastic Systems Theory | ||
Linear Control Systems | ||
Computer Applications in Power System Analysis | ||
Linear Integrated Circuits | ||
Elective Courses | 6 | |
Select two of the following: | ||
Switching Circuit Theory 1 | ||
Optimal Control | ||
Advanced Real-Time Systems | ||
Biomedial Microdevices | ||
Advanced Semiconductor Electronics | ||
Communication Theory | ||
Digital Signal Processing for Radio Astronomy | ||
Detection and Estimation Theory | ||
Optoelectronics | ||
Area of Emphasis or Additional Electives | 9 | |
Select one of the following options: | ||
Area of Emphasis ++ | ||
Departmental and STEM Electives (see table below for courses) | ||
Complete one of the following options: | 6-7 | |
Thesis Option - 7 hours | ||
Graduate Seminar (1 hour) | ||
Research (6 hours) | ||
Final Oral or Written Examination | ||
Thesis | ||
Problem Report Option - 6 hours | ||
Select an additional three credit hours of coursework from CPE, CS, EE, MATH, PHYS, or STAT courses 400-795, as approved by the AEC | ||
Research (3 hours) | ||
Final Oral or Written Examination | ||
Formal written report or professional report/paper | ||
Coursework Option - 6 hours | ||
Select an additional six credit hours of coursework from CPE, CS, EE, MATH, PHYS, or STAT courses 400-795, as approved by the AEC | ||
Total Hours | 31-32 |
Code | Title | Hours |
---|---|---|
Additional Electives List | ||
Departmental Electives (6 credit hours) | ||
Any EE, CPE, or CS courses 400-795, as approved by the student's AEC | ||
STEM Electives (3 credit hours) | ||
Any EE, CpE, CS, BMEG, CE, CHEM, IENG, MAE, MINE, PNGE, MATH, PHYS, ASTR, CHE, or STAT courses 400-795, as approved by the student's AEC |
- *
Excluding EE 796 and EE 697/797
- **
Students who do not hold a baccalaureate degree in electrical engineering are required to take a set of undergraduate electrical engineering courses above and beyond the minimum coursework requirements.
- +
Courses in this block not used to complete the Core Courses requirement can be used as Electives or Additional Electives.
- ++
Courses completed for the Area of Emphasis cannot fulfill other degree requirements
Final Examination
All students following the thesis or problem report option are required to pass a final oral or written examination, administered by their AEC, covering the thesis or problem report and/or related course material. A student who fails the defense may repeat the defense at most once, at a time determined by the AEC but not necessarily during the same semester.
Areas of Emphasis
- Artificial Intelligence and Computational Data Science
- Cyber-Physical and Complex Systems
- Cybersecurity and Networked Systems
- Microelectronics and Embedded Systems
Artificial Intelligence and Computational Data Science Area of Emphasis
Code | Title | Hours |
---|---|---|
Select one of the following: | 3 | |
Application of Neural Networks | ||
Deep Learning | ||
Select two of the following: | 6 | |
Advanced Data Mining | ||
Pattern Recognition | ||
Machine Learning | ||
Total Hours | 9 |
Cyber-Physical and Complex Systems Area of Emphasis
Code | Title | Hours |
---|---|---|
Select three of the following: | 9 | |
Hardware Security and Trust | ||
Stochastic Systems Theory | ||
Power Distribution Systems | ||
EE 540 | Data Analytics for Secure Cyber-Power Systems | |
Communication Theory | ||
Total Hours | 9 |
Cybersecurity and Networked Systems Area of Emphasis
Code | Title | Hours |
---|---|---|
Select three of the following: | 9 | |
Hardware Security and Trust | ||
Intro Computer Security Management | ||
Advanced Networking Concepts | ||
Advanced Cybersecurity Principles | ||
Ethics in Cybersecurity | ||
Total Hours | 9 |
Microelectronics and Embedded Systems
Code | Title | Hours |
---|---|---|
Select three of the following: | 9 | |
Advanced Semiconductor Electronics | ||
Linear Integrated Circuits | ||
Biomedial Microdevices | ||
Intelligent and Safe Robotics | ||
Switching Circuit Theory 1 | ||
Advanced Real-Time Systems | ||
Total Hours | 9 |
Accelerated Program
Accelerated Bachelor's/Master's in Electrical Engineering
Students must fulfill all degree requirements for the B.S.EE in Electrical Engineering and all the requirements of the M.S.EE in Electrical Engineering. Students must also meet all the requirements of the ABM.
ABM Requirements
Code | Title | Hours |
---|---|---|
Undergraduate Coursework | 108 | |
Shared Bachelor's/Master's Coursework | 12 | |
Graduate Coursework | 19 | |
Total Hours | 139 |
Shared Coursework Curriculum Requirements
Code | Title | Hours |
---|---|---|
Courses completed must be at the 400 or 500 level. At least one course must be at the 500 level. | ||
See BSEE and MSEE for list of elective course options | ||
Courses: | ||
EE Technical Elective | 3 | |
Lane Department Elective | 3 | |
Lane Department Elective | 3 | |
Technical Elective | 3 | |
Total Hours | 12 |
Suggested Plan of Study
It is important for students to take courses in the order specified as closely as possible; all prerequisites and concurrent requirements must be observed. A typical accelerated ABM program in electrical engineering with coursework option that completes degree requirements in five years is as follows.
First Year | |||
---|---|---|---|
Fall | Hours | Spring | Hours |
ENGL 101 (GEF 1) | 3 | ENGR 102 | 3 |
ENGR 101 | 2 | MATH 156 (GEF 8) | 4 |
ENGR 191 | 1 | PHYS 111 & PHYS 112L (GEF 8) | 4 |
MATH 155 (GEF 3) | 4 | GEF 6 | 3 |
GEF 4 | 3 | ||
GEF 5 | 3 | ||
16 | 14 | ||
Second Year | |||
Fall | Hours | Spring | Hours |
CPE 271 & 271L | 4 | CS 110 & 110L | 4 |
EE 221 & 221L | 4 | EE 223 & 223L* | 4 |
MATH 251 | 4 | EE 251 & 251L | 4 |
PHYS 112 & 112L (GEF 8) | 4 | MATH 261 | 4 |
16 | 16 | ||
Third Year | |||
Fall | Hours | Spring | Hours |
EE 327* | 3 | CPE 310 & 310L | 4 |
EE 335 & 335L* | 4 | CSEE 380 | 2 |
EE 355 & 355L | 4 | EE 329* | 3 |
ENGL 102 (GEF 1) | 3 | EE 345 | 3 |
STAT 215 | 3 | Math/Science Elective | 3 |
17 | 15 | ||
Fourth Year | |||
Fall | Hours | Spring | Hours |
CSEE 480 | 2 | CSEE 481 | 3 |
Engineering Science Elective** | 3 | EE Technical Elective (MSEE CW Elective, 400 level +)** | 3 |
Lane Department Elective (400 level +)** | 3 | Technical Elective (MSEE CW Elective, 500 level +)** | 3 |
Lane Department Elective (400 level +)** | 3 | Technical Elective | 3 |
GEF 7 | 3 | ||
14 | 12 | ||
Fifth Year | |||
Fall | Hours | Spring | Hours |
EE 796 | 1 | MSEE Core Course | 3 |
MSEE Core Course | 3 | MSEE AOE or Additional Elective | 3 |
MSEE Core Course | 3 | MSEE AOE or Additional Elective | 3 |
MSEE AOE or Additional Elective | 3 | ||
10 | 9 | ||
Total credit hours: 139 |
- *
Offered once per year in semester shown.
- **
Indicates shared course between BS and MS programs
Major Learning Outcomes
Electrical Engineering
Upon graduation, Electrical Engineering MS students will be able to:
1. Identify, design, and implement solutions to real-world challenges in electrical engineering.
2. Communicate engineering and technical content from projects through written and oral formats.
3. Work on projects in both independent and collaborative settings considering professional and ethical considerations.