Electrical Engineering is the discipline that drives our increasingly-connected society. Electrical engineers design systems, devices, and algorithms that contribute innovative solutions across a broad spectrum of applications. The Electrical Engineering program offers the following concentrations: bioengineering, communications and networking, control and robotics, machine learning in electrical engineering, power systems and smart grid, signal processing, semiconductor engineering, and space-based systems.
The graduates of our program develop reliable, secure, and high-speed communication networks and systems; apply modern signal processing algorithms to extract information from images, audio, video, sonar, and radio signals; apply machine-learning, control theory, and robotics foundations to applications such as autonomous vehicles, humanoid robots, and multi-agent systems; develop state-of-the-art power systems based on the ideas of sustainability, adaptability, security, and resilience; design nanoscale devices for the highly integrated circuits that drive the Internet of Things, health-monitoring devices, smartphones, tablets, and modern-day computer systems; develop prosthetic devices, brain-machine interfaces, and systems to ameliorate neurological disorders. Students in this program will develop theoretical foundations, analytical capabilities, and practical hands-on skills in their chosen field of specialization. They will also develop the oral and written communication skills necessary to articulate their ideas and succeed as entrepreneurs, practicing engineers, or technical managers in high-tech companies.
Admissions
Requirements
Applicants should have a baccalaureate degree preferably in electrical engineering, electronics and communication engineering, computer engineering, computer science engineering, or a closely-related discipline.
Students with BS or MS degrees in other science, technology, engineering, and mathematics (STEM) disciplines are encouraged to apply for admission as well. Such students may be advised to take some courses from the undergraduate electrical engineering curriculum or a professional certificate offered by Mason, according to their intended concentration and specific backgrounds. Domestic students may be admitted provisionally and required to satisfy provisional requirements before taking advanced coursework.
Candidates must meet the general university graduate admission eligibility requirements, as defined in the catalog section Graduate Admission Policies, under General Admission Requirements, including a minimum 3.00 GPA on a 4.00 scale.
All students are required to submit a resume. They are also encouraged to provide up to three choices for their preferred academic advisor (selected from the list available on the ECE Department website), and declare their preliminary concentration choice. The concentration can be changed during the entire time in the program.
For internationally educated applicants, a satisfactory score on any of the English proficiency examinations accepted by Mason is required. Satisfactory scores are specific to the College of Engineering and Computing. They are listed on the English Proficiency Requirements page of the Mason website.
Policies
Please see AP.6. Graduate Policies.
Student Advising
Students can select a concentration from those available in the MS degree program at the time of application to the program or later during their studies. In the former case, students are assigned an academic advisor from the selected concentration at the time of the admission, in the latter case, students can petition for a change of an academic advisor to match their concentration choice.
Plan of Study
Before completing 6 credit hours of coursework, each student must submit to the department a plan of study that has been approved by the academic advisor. This plan should be kept up to date by regular consultation with the academic advisor. A final, signed version of the plan must be turned in when the student submits a graduation application.
Degree Requirements
Total credits: 30
Students must complete a minimum of 30 graduate credits beyond the bachelor’s degree. The plan of study for the degree must fulfill the following requirements:
Core Course Requirement
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| Select 15 credits from the following: | 15 | |
| Computer Architecture | ||
| Power System Protection and Control | ||
| Power Electronics for Modern Power Systems | ||
| Linear Systems and Control | ||
| Learning From Data | ||
| Introduction to Random Processes in Electrical and Computer Engineering | ||
| Digital Signal Processing | ||
| Neural Engineering | ||
| Computer Network Architectures and Protocols | ||
| Big Data Technologies | ||
| Small Spacecraft Engineering | ||
| Semiconductor Device Fundamentals | ||
| Digital Integrated Circuits | ||
| Design of Analog Integrated Circuits | ||
| Microgrid Design and Control | ||
| Systems Identification | ||
| Principles of Digital Communications | ||
| Master's Thesis 1 | ||
| Total Credits | 15 | |
- 1
See Thesis/Scholarly Paper option.
Concentration Requirement
Accomplished by choosing one of the concentrations and then meeting the course requirements for this concentration. Courses required for the selected concentration must be passed with a grade of B or better. For each concentration, related ECE 590 Selected Topics in Engineering courses can be used in addition to all explicitly listed 500-level courses, and related ECE 699 Advanced Topics in Electrical and Computer Engineering courses in addition to all explicitly listed 600 level or above courses, subject to approval by the student's academic advisor. With assistance from their advisors, students may petition the graduate program coordinator to approve a specialization area of their own design, not fulfilling the requirements of any concentration.
Available Concentrations
- Concentration in Bioengineering (BIOE)
- Concentration in Communications and Networking (CONE)
- Concentration in Control and Robotics (CORO)
- Concentration in Machine Learning in Electrical Engineering (MLEE)
- Concentration in Power Systems and Smart Grid (PSSG)
- Concentration in Semiconductor Engineering (SCEN)
- Concentration in Signal Processing (SIGP)
- Concentration in Space-Based Systems (SBSY)
Concentration in Bioengineering (BIOE)
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| ECE 538 | Medical Imaging | 3 |
| ECE 539 | Neural Engineering | 3 |
| Total Credits | 6 | |
| Code | Title | Credits |
|---|---|---|
| Electives | ||
| Select at least three courses from the following, including two courses at the 600 level or above: | 9 | |
| Bioengineering Research Methods | ||
| Advanced Medical Image Processing | ||
| Linear Systems and Control | ||
| Introduction to Random Processes in Electrical and Computer Engineering | ||
| Sensor Engineering | ||
| Digital Signal Processing | ||
| Image Processing and Computer Vision | ||
| Computer Network Architectures and Protocols | ||
| Optimal Control Theory | ||
| Systems Identification | ||
| Kalman Filtering with Applications | ||
| Detection and Estimation Theory | ||
| Advanced Digital Signal Processing | ||
| Array Processing | ||
| Total Credits | 9 | |
Concentration in Communications and Networking (CONE)
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| ECE 528 | Introduction to Random Processes in Electrical and Computer Engineering | 3 |
| ECE 542 | Computer Network Architectures and Protocols | 3 |
| Total Credits | 6 | |
| Code | Title | Credits |
|---|---|---|
| Electives | ||
| Select at least three courses from the following, including two courses at the 600 level or above: | 9 | |
| Internet of Things | ||
| Learning From Data | ||
| Introduction to Wireless Communications and Networks | ||
| Secure Wireless Communications and Networks | ||
| Optical Fiber Communications | ||
| Random Processes in Electrical and Computer Engineering | ||
| Wireless Networks | ||
| Principles of Digital Communications | ||
| Software-Defined Radio | ||
| Digital Communications | ||
| Error Control Coding | ||
| Detection and Estimation Theory | ||
| Satellite Communications | ||
| Design and Analysis of Computer Networks | ||
| Network Switching and Routing | ||
| Applied Cryptography | ||
| Advanced Learning From Data | ||
| Probabilistic Machine Learning | ||
| Information Theory | ||
| Mobile Communication Systems | ||
| Total Credits | 9 | |
Concentration in Control and Robotics (CORO)
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| ECE 521 | Linear Systems and Control | 3 |
| ECE 528 | Introduction to Random Processes in Electrical and Computer Engineering | 3 |
| Total Credits | 6 | |
| Code | Title | Credits |
|---|---|---|
| Electives | ||
| Select at least three courses from the following list: | 9 | |
| Learning From Data | ||
| Real-Time Embedded Systems | ||
| Nonlinear Systems and Control | ||
| Optimal Control Theory | ||
| Systems Identification | ||
| Kalman Filtering with Applications | ||
| Distributed Control and Optimization | ||
| Autonomous Control for Robotic Systems | ||
| Adaptive Control | ||
| Detection and Estimation Theory | ||
| Adaptive Signal Processing | ||
| Advanced Learning From Data | ||
| Probabilistic Machine Learning | ||
| Total Credits | 9 | |
Concentration in Machine Learning in Electrical Engineering (MLEE)
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| ECE 527 | Learning From Data | 3 |
| ECE 528 | Introduction to Random Processes in Electrical and Computer Engineering | 3 |
| or ECE 552 | Big Data Technologies | |
| Total Credits | 6 | |
| Code | Title | Credits |
|---|---|---|
| Electives: | ||
| Select at least three courses from the following list, including at least two courses at the 600 level or above: | 9 | |
| Introduction to Random Processes in Electrical and Computer Engineering | ||
| Big Data Technologies | ||
| Neuromorphic Computing | ||
| Distributed and Federated Learning | ||
| Advanced Learning From Data | ||
| Machine Learning Security and Privacy | ||
| Probabilistic Machine Learning | ||
| Total Credits | 9 | |
Concentration in Power Systems and Smart Grid (PSSG)
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| ECE 518 | Power System Protection and Control | 3 |
| ECE 519 | Power Electronics for Modern Power Systems | 3 |
| ECE 605 | Microgrid Design and Control | 3 |
| Total Credits | 9 | |
| Code | Title | Credits |
|---|---|---|
| Electives 1 | 6 | |
| Select 1-2 courses (3-6 credits) from the following: | ||
| Grid Digitization and Automation | ||
| Cyber Infrastructure of the Smart Grid | ||
| Advanced Data Analytics in Smart Grid | ||
| Select 0-1 courses (0-3 credits) from the following: | ||
| Hardware Security | ||
| Internet of Things | ||
| Applied Electromagnetic Theory | ||
| Learning From Data | ||
| Introduction to Wireless Communications and Networks | ||
| Computer Network Architectures and Protocols | ||
| Big Data Technologies | ||
| Wireless Networks | ||
| Software-Defined Radio | ||
| Network Switching and Routing | ||
| Advanced Learning From Data | ||
| Total Credits | 6 | |
- 1
At least one elective should be at the 600 level or above
Concentration in Semiconductor Engineering(SCEN)
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| ECE 584 | Semiconductor Device Fundamentals | 3 |
| ECE 586 | Digital Integrated Circuits | 3 |
| Total Credits | 6 | |
| Code | Title | Credits |
|---|---|---|
| Electives | ||
| Select at least three courses from the following, including two courses at the 600 level or above: | 9 | |
| Design of Analog Integrated Circuits | ||
| Nanoelectronics Fundamentals | ||
| VLSI Design for ASICs | ||
| MOS Device Electronics | ||
| Nanoelectronics | ||
| Sensor Device Technology | ||
| Radio Frequency Electronics | ||
| Introduction to Nano-Materials | ||
| Total Credits | 9 | |
Concentration in Signal Processing (SIGP)
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| ECE 528 | Introduction to Random Processes in Electrical and Computer Engineering | 3 |
| ECE 535 | Digital Signal Processing | 3 |
| Total Credits | 6 | |
| Code | Title | Credits |
|---|---|---|
| Electives | ||
| Select at least three courses from the following, including two courses at the 600 level or above: | 9 | |
| Linear Systems and Control | ||
| Learning From Data | ||
| Sensor Engineering | ||
| Image Processing and Computer Vision | ||
| Medical Imaging | ||
| Digital System Design with VHDL | ||
| Systems Identification | ||
| Kalman Filtering with Applications | ||
| Random Processes in Electrical and Computer Engineering | ||
| Principles of Digital Communications | ||
| Software-Defined Radio | ||
| Digital Communications | ||
| Error Control Coding | ||
| Detection and Estimation Theory | ||
| Adaptive Signal Processing | ||
| Advanced Digital Signal Processing | ||
| Array Processing | ||
| Digital Signal Processing Hardware Architectures | ||
| Advanced Learning From Data | ||
| Probabilistic Machine Learning | ||
| Information Theory | ||
| Mobile Communication Systems | ||
| Total Credits | 9 | |
Concentration in Space-Based Systems (SBSY)
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| ECE 580 | Small Spacecraft Engineering | 3 |
| ECE 660 | Space Systems Engineering | 3 |
| Total Credits | 6 | |
| Code | Title | Credits |
|---|---|---|
| Electives | ||
| Select at least three courses from the following, including at least one course at the 600 level or above: | 9 | |
| Computer Architecture | ||
| Applied Electromagnetic Theory | ||
| Linear Systems and Control | ||
| Introduction to Random Processes in Electrical and Computer Engineering | ||
| Sensor Engineering | ||
| Digital Signal Processing | ||
| Digital System Design with VHDL | ||
| System Engineering Design | ||
| Real-Time Embedded Systems | ||
| Software/Hardware Codesign | ||
| Optimal Control Theory | ||
| Kalman Filtering with Applications | ||
| Adaptive Control | ||
| Principles of Digital Communications | ||
| Software-Defined Radio | ||
| Adaptive Signal Processing | ||
| Array Processing | ||
| Satellite Communications | ||
| Small Satellite Development | ||
| Total Credits | 9 | |
Upper-Level Course Requirement
A minimum of 9 credit hours of ECE courses at the 600 level or above, other than ECE 698, ECE 798, and ECE 799 (including, but not limited to, the selected concentration elective).
ECE Course Requirement
A maximum of 6 credits of non-ECE courses may be used to fulfill degree requirements, subject to prior approval by the student's academic advisor, in the form of a plan of study signed by the advisor and submitted to the ECE Office.
Electives
Electives can be chosen from among all ECE graduate courses, as well as related graduate courses with other designations. The students are encouraged to discuss their choice of electives with their academic advisor prior to the registration.
GPA Requirements
A maximum of 6 credits of courses with a grade of C may be applied toward the degree. The student must present a GPA of at least 3.00 for all courses submitted for the degree.
Seminar Requirement
Graduate students are expected to participate actively in the exchange of knowledge and ideas in their discipline. Towards this objective, all degree candidates must attend a minimum of 6 graduate seminars approved for the degree program. Approved seminars are publicized on the departmental website.
To demonstrate completion of the seminar requirement, students must register for ECE 795 Engineering Seminar in their final semester. The department office will verify that the seminar requirement has been met and submit a grade of S (satisfactory) upon completion of the requirement. Students who have not met the seminar requirement in their final semester must continue to register for ECE 795 in subsequent semesters until the requirement is met.
Thesis/Scholarly Paper Option
To complete the program, students may select one of the following options:
Thesis Option
Students who select this option must complete:
| Code | Title | Credits |
|---|---|---|
| ECE 799 | Master's Thesis | 6 |
| Coursework | 24 | |
| Total Credits | 30 | |
The thesis is particularly recommended for those students who wish to develop and document their research skills or contemplate subsequent enrollment in a PhD program. The thesis involves a research effort, which is conducted under the guidance of a faculty advisor. Choosing the thesis option requires approval of a full-time faculty member willing to serve as a thesis advisor. The topic and scope of the thesis must be approved by the thesis advisor. In some cases, permission may be granted to complete a portion of the work at the student’s place of employment. The final written thesis and oral defense are approved by the student’s advisory committee.
This committee consists of at least three full-time faculty members, including two from the student’s concentration, and one from outside the concentration. Thesis students may not register for ECE 798 Research Project. Students must register for at least 3 credits of ECE 799 Master's Thesis for their first thesis semester. Following their first thesis semester, they must register for at least 1 credit of ECE 799 Master's Thesis each fall and spring semester until graduation.
Scholarly Paper Option
Students who select to complete their degree program with a scholarly paper must:
| Code | Title | Credits |
|---|---|---|
| Complete 30 credits of coursework | 30 | |
| ECE 797 | Scholarly Paper | 0 |
| Enroll in a 600-level or above course requiring a research project | ||
| Write a Scholarly Paper project report and present findings as part of the course requirements | ||
| Total Credits | 30 | |
An acceptable scholarly paper must be technically sound, adhere to accepted formatting standards for technical reports, and contain a significant literature review evidenced by a comprehensive list of cited references.
A list of courses requiring projects that can be used to satisfy the scholarly paper requirement will be published on the department website. Scholarly papers must be individual written project reports – not group projects. To qualify as a scholarly paper an oral presentation of the project is required. A passing grade for the project, reflecting both the written report and the oral presentation, satisfies the scholarly paper requirement.
A successful scholarly paper will be recorded by awarding a satisfactory (S) grade for ECE 797 Scholarly Paper. Students are eligible to attempt the scholarly paper and register for ECE 797 Scholarly Paper after completion of 18 hours of coursework. Students choosing the scholarly paper option are not eligible for graduation until they have received a final, passing grade for ECE 797 Scholarly Paper.
Computer Engineering, BS/Electrical Engineering, Accelerated MS
Overview
Highly-qualified undergraduates may be admitted to the bachelor's/accelerated master's program and obtain a BS in Computer Engineering and an MS in Electrical Engineering in an accelerated time-frame after satisfactory completion of a minimum of 144 credits.
See AP.6.7 Bachelor's/Accelerated Master's Degrees for policies related to this program.
Students in an accelerated degree program must fulfill all university requirements for the master's degree. For policies governing all graduate degrees, see AP.6 Graduate Policies.
BAM Pathway Admission Requirements
Applicants to all graduate programs at George Mason University must meet the admission standards and application requirements for graduate study as specified in Graduate Admissions Policies and Bachelor's/Accelerated Master's Degree policies.
Students will be considered for admission into the BAM Pathway after completion of a minimum of 60 credits with an overall GPA of 3.0.
Students who are accepted into the BAM Pathway will be allowed to register for graduate level courses after successful completion of a minimum of 75 undergraduate credits and course-specific pre-requisites.
Accelerated Master’s Admission Requirements
Students already admitted in the BAM Pathway will be admitted to the MS program, if they have met the following criteria, as verified on the Bachelor’s/Accelerated Master’s Transition form: 3.0 overall GPA, successfully meeting Mason’s requirements for undergraduate degree conferral (graduation), and completing the application for graduation.
Accelerated Pathway Requirements
To maintain the integrity and quality of both the undergraduate and graduate degree programs, undergraduate students interested in taking graduate courses must choose from the following:
Advanced standing courses: Students may take up to 12 credits of graduate-level courses that will count as advanced standing (i.e., overlap between the BS/MS program) from the list below. Note that ECE 542 can be used to meet the ECE 465 requirement for the BS in Electrical Engineering program. An additional 9 credits of graduate-level courses from the list below may be selected to substitute in place of the 9 credits of technical electives required for the undergraduate degree.
| Code | Title | Credits |
|---|---|---|
| ECE 505 | Hardware Security | 3 |
| ECE 508 | Internet of Things | 3 |
| ECE 511 | Computer Architecture | 3 |
| ECE 512 | Computer Architecture Security | 3 |
| ECE 513 | Applied Electromagnetic Theory | 3 |
| ECE 514 | Grid Digitization and Automation | 3 |
| ECE 516 | Mobile Systems and Applications | 3 |
| ECE 517 | Cyber Infrastructure of the Smart Grid | 3 |
| ECE 518 | Power System Protection and Control | 3 |
| ECE 519 | Power Electronics for Modern Power Systems | 3 |
| ECE 521 | Linear Systems and Control | 3 |
| ECE 527 | Learning From Data | 3 |
| ECE 528 | Introduction to Random Processes in Electrical and Computer Engineering | 3 |
| ECE 530 | Sensor Engineering | 3 |
| ECE 531 | Introduction to Wireless Communications and Networks | 3 |
| ECE 532 | Secure Wireless Communications and Networks | 3 |
| ECE 535 | Digital Signal Processing | 3 |
| ECE 538 | Medical Imaging | 3 |
| ECE 539 | Neural Engineering | 3 |
| ECE 542 | Computer Network Architectures and Protocols | 3 |
| ECE 550 | System Engineering Design | 3 |
| ECE 552 | Big Data Technologies | 3 |
| ECE 554 | Machine Learning for Embedded Systems | 3 |
| ECE 555 | GPU Architecture and Programming | 3 |
| ECE 556 | Neuromorphic Computing | 3 |
| ECE 565 | Introduction to Optical Electronics | 3 |
| ECE 567 | Optical Fiber Communications | 3 |
| ECE 580 | Small Spacecraft Engineering | 3 |
| ECE 584 | Semiconductor Device Fundamentals | 3 |
| ECE 586 | Digital Integrated Circuits | 3 |
| ECE 587 | Design of Analog Integrated Circuits | 3 |
| ECE 590 | Selected Topics in Engineering | 3 |
Selected 600 level courses may be taken as well with permission of an advisor granted before registering for a given course.
Reserve credit courses: Additional courses (up to 6 credits) may be selected from the above list as credits to be put on reserve to be later applied to the graduate program. Students can take these courses while undergraduates but these reserve courses will only count for the graduate degree program.
For more detailed information on coursework and timeline requirements, see AP.6.7 Bachelor's/Accelerated Master's Degrees.
Degree Conferral
Students must apply the semester before they expect to complete the BS requirements to have the BS degree conferred. In addition, at the beginning of the student's final undergraduate semester, students must complete a Bachelor's/Accelerated Master's Transition form. At the completion of MS requirements, a master's degree is conferred.
Electrical Engineering, BS/Electrical Engineering, Accelerated MS
Overview
Highly-qualified undergraduates may be admitted to the bachelor's/accelerated master's program and obtain a BS in Electrical Engineering and an MS in Electrical Engineering in an accelerated time-frame after satisfactory completion of a minimum of 139 credits.
See AP.6.7 Bachelor's/Accelerated Master's Degrees for policies related to this program.
Students in an accelerated degree program must fulfill all university requirements for the master's degree. For policies governing all graduate degrees, see AP.6 Graduate Policies.
BAM Pathway Admission Requirements
Applicants to all graduate programs at George Mason University must meet the admission standards and application requirements for graduate study as specified in Graduate Admissions Policies and Bachelor's/Accelerated Master's Degree policies.
Students will be considered for admission into the BAM Pathway after completion of a minimum of 60 credits with an overall GPA of 3.0.
Students who are accepted into the BAM Pathway will be allowed to register for graduate level courses after successful completion of a minimum of 75 undergraduate credits and course-specific prerequisites.
Accelerated Master’s Admission Requirements
Students already admitted in the BAM Pathway will be admitted to the MS program, if they have met the following criteria, as verified on the Bachelor’s/Accelerated Master’s Transition form: 3.0 overall GPA, successfully meeting Mason’s requirements for undergraduate degree conferral (graduation), and completing the application for graduation.
Accelerated Pathway Requirements
To maintain the integrity and quality of both the undergraduate and graduate degree programs, undergraduate students interested in taking graduate courses must choose from the following:
Advanced standing courses: Students may take up to 12 credits of graduate-level courses that will count as advanced standing (i.e., overlap between the BS/MS program) from the list below: Note that that either ECE 584 Semiconductor Device Fundamentals or ECE 586 Digital Integrated Circuits or ECE 587 Design of Analog Integrated Circuits can be used to meet the ECE 433 Linear Electronics II requirement for the BS in Electrical Engineering program. An additional 9 credits of graduate-level courses from the list below may be selected to substitute in place of the 9 credits of technical electives required for the undergraduate degree:
| Code | Title | Credits |
|---|---|---|
| ECE 505 | Hardware Security | 3 |
| ECE 508 | Internet of Things | 3 |
| ECE 511 | Computer Architecture | 3 |
| ECE 512 | Computer Architecture Security | 3 |
| ECE 513 | Applied Electromagnetic Theory | 3 |
| ECE 514 | Grid Digitization and Automation | 3 |
| ECE 516 | Mobile Systems and Applications | 3 |
| ECE 517 | Cyber Infrastructure of the Smart Grid | 3 |
| ECE 518 | Power System Protection and Control | 3 |
| ECE 519 | Power Electronics for Modern Power Systems | 3 |
| ECE 521 | Linear Systems and Control | 3 |
| ECE 527 | Learning From Data | 3 |
| ECE 528 | Introduction to Random Processes in Electrical and Computer Engineering | 3 |
| ECE 530 | Sensor Engineering | 3 |
| ECE 531 | Introduction to Wireless Communications and Networks | 3 |
| ECE 532 | Secure Wireless Communications and Networks | 3 |
| ECE 535 | Digital Signal Processing | 3 |
| ECE 538 | Medical Imaging | 3 |
| ECE 539 | Neural Engineering | 3 |
| ECE 542 | Computer Network Architectures and Protocols | 3 |
| ECE 550 | System Engineering Design | 3 |
| ECE 552 | Big Data Technologies | 3 |
| ECE 554 | Machine Learning for Embedded Systems | 3 |
| ECE 555 | GPU Architecture and Programming | 3 |
| ECE 556 | Neuromorphic Computing | 3 |
| ECE 565 | Introduction to Optical Electronics | 3 |
| ECE 567 | Optical Fiber Communications | 3 |
| ECE 580 | Small Spacecraft Engineering | 3 |
| ECE 584 | Semiconductor Device Fundamentals | 3 |
| ECE 586 | Digital Integrated Circuits | 3 |
| ECE 587 | Design of Analog Integrated Circuits | 3 |
| ECE 590 | Selected Topics in Engineering | 3 |
Selected 600 level courses may be taken as well with permission of an advisor granted before registering for a given course.
Reserve credit courses: Additional courses (up to 6 credits) may be selected from the above list as credits to be put on reserve to be later applied to the graduate program. Students can take these courses while undergraduates but these reserve courses will only count for the graduate degree program.
For more detailed information on coursework and timeline requirements, see AP.6.7 Bachelor's/Accelerated Master's Degrees
Degree Conferral
Students must apply the semester before they expect to complete the BS requirements to have the BS degree conferred. In addition, at the beginning of the student's final undergraduate semester, students must complete a Bachelor's/Accelerated Master's Transition form. At the completion of MS requirements, a master's degree is conferred.
Mechanical Engineering, BS/Electrical Engineering, Accelerated MS
Overview
The university offers highly-qualified students in the Mechanical Engineering, BS the option of obtaining an accelerated Electrical Engineering, MS.
For more detailed information, see AP.6.7 Bachelor's/Accelerated Master's Degrees. For policies governing all graduate degrees, see AP.6 Graduate Policies.
Admission Requirements
Students in the Mechanical Engineering, BS program may apply for this option if they have earned 60 undergraduate credits, with an overall GPA of at least 3.0, and passed MATH 203 Linear Algebra and STAT 346 Probability for Engineers, or their equivalents, with the grade C or better. Criteria for admission are identical to criteria for admission to the Electrical Engineering, MS program.
Students who are accepted into the BAM Pathway will be allowed to register for graduate level courses after successful completion of a minimum of 75 undergraduate credits and course-specific pre-requisites.
Accelerated Option Requirements
Students must complete all credits that satisfy the requirements for the BS and MS programs, with up to 9 credits overlapping.
Students take up to 9 credits of 500-level ECE or SYST courses as part of their technical electives or substitutes for required courses in the Mechanical Engineering, BS program.
Specifically, students are encouraged to take up to three of the following courses:
| Code | Title | Credits |
|---|---|---|
| ECE 521 | Linear Systems and Control | 3 |
| ECE 527 | Learning From Data | 3 |
| ECE 528 | Introduction to Random Processes in Electrical and Computer Engineering | 3 |
| ECE 539 | Neural Engineering | 3 |
| ECE 580 | Small Spacecraft Engineering | 3 |
| SYST 521 | Network Analysis | 3 |
Degree Conferral
Students must apply the semester before they expect to complete the BS requirements to have the BS degree conferred. In addition, at the beginning of the student's final undergraduate semester, students must complete a Bachelor's/Accelerated Master's Transition form. At the completion of MS requirements, a master's degree is conferred.