The Electrical and Computer Engineering Department offers the Degree of Master of Science in Electrical and Computer Engineering (M.S.E.C.E.) with a thesis option (24 course credit hours and 6 thesis credit hours) or a non-thesis option (30 course credit hours and no thesis credit hours). The M.S.E.C.E. program offers five tracks: audio engineering, data analytics, Microdevices and Photonics, cybersecurity, and a general ECE track.
Admissions Requirements
Admission to MS degree programs in the College of Engineering (CoE) at the University of Miami is competitive. A qualified applicant needs a strong academic record, as evidenced by their grades in relevant coursework (traditionally a cumulative gpa of 3.0 or higher). Additionally, prospective students should have a 300 or higher on the GRE General Test (verbal plus quantitative), acceptable scores on TOEFL or ILETS exams (English proficiency exams for international students only), as well as comprehensive letters of recommendation. Transfer of credits from other institutes complies with the rules of the graduate school. Many of our applicants have research experiences that have resulted in publication.
Traditionally a BS degree in engineering is required for admission into one of our MS programs. Students who do not have a degree in an Engineering field can still apply and will be considered by the admission committee, but if admitted pre-requisite coursework is traditionally required before being fully admitted into MS studies with us.
Graduation Requirements
The M.S.E.C.E. program with the non-thesis option complies in full with the CoE degree requirements
- An approved integrated program with a minimum of 30 credit hours with an average grade of B or better and no grade below C.
- At least 12 course credit hours must be at the 700-level.
- In addition, the cybersecurity track requires a 3-credit-hour graduating project.
The M.S.E.C.E. program with the thesis option, complies with the following CoE degree requirements
- An approved integrated program with a minimum of 30 credit hours with an average grade of B or better and no grade below C.
- At least 6 of the course credit hours must be at the 700 level
- 6 credit hours of the required 30 must be earned in thesis work.
In addition to the CoE degree requirements, the M.S.E.C.E. program with the thesis option requires the following:
- Appointment of a Thesis Defense Committee comprised of at least 3 members: the Chair of the committee is the Research Advisor who must have RF/GF status within ECE; at least one other member (excluding the Research Advisor) must have RF/GF status within ECE; at least one member must be from outside ECE.
Curriculum Requirements: General ECE Option
Any 600-level and 700-level ECE courses and courses in other departments with the approval of the academic advisor.
Code | Title | Credit Hours |
---|---|---|
Electives | ||
Any 600- or 700-Level ECE Courses | 24 | |
Select Thesis or Non-Thesis Option | 6 | |
Thesis Option: | ||
Master's Thesis | ||
Research in Residence | ||
Continuous Registration--Master's Study | ||
Non-Thesis Option: | ||
Any 600- or 700-Level ECE Courses | ||
Total Credit Hours | 30 |
Curriculum Requirements: Audio Engineering Option
Code | Title | Credit Hours |
---|---|---|
Suggested Courses for Audio Engineering Option | ||
ECE 602 | Engineering Acoustics | 3 |
ECE 633 | Random Signals and Noise | 3 |
ECE 636 | Adaptive Filters and Signal Processing | 3 |
ECE 638 | Introduction to Digital Image Processing | 3 |
ECE 640 | Digital Speech and Audio Processing | 3 |
ECE 648 | Machine Learning | 3 |
Remaining credits may be taken from 600/700 level courses in ECE, CS, MTH, or any other department in consultation with the academic advisor. | 6 | |
Select Thesis or Non-Thesis Option | 6 | |
Thesis Option: | ||
Master's Thesis | ||
Research in Residence | ||
Continuous Registration--Master's Study | ||
Non-Thesis Option: | ||
Any 600- or 700-Level ECE Courses | ||
Total Credit Hours | 30 |
Data Analytics Option
Code | Title | Credit Hours |
---|---|---|
Suggested Courses for Data Analytics Option | ||
ECE 600 | Engineering Analytical Techniques | 3 |
ECE 633 | Random Signals and Noise | 3 |
ECE 648 | Machine Learning | 3 |
ECE 672 | Object-Oriented and Distributed Database Management Systems | 3 |
ECE 676 | Internet and Intranet Security | 3 |
ECE 677 | Data Mining | 3 |
CSC 632 | Introduction to Parallel Computing | 3 |
CSC 640 | Algorithm Design and Analysis | 3 |
Remaining credits may be taken from 600/700 level courses in ECE, CS, MTH, or any other department in consultation with the academic advisor. | ||
Select Thesis or Non-Thesis Option | 6 | |
Thesis Option: | ||
Master's Thesis | ||
Research in Residence | ||
Continuous Registration--Master's Study | ||
Non-Thesis Option: | ||
Any 600- or 700-Level ECE Courses | ||
Total Credit Hours | 30 |
Microdevices and Photonics Option
Code | Title | Credit Hours |
---|---|---|
Suggested Courses for Microdevices and Photonics Option | ||
ECE 603 | Laser Communications | 3 |
ECE 604 | Fundamentals of Optical Imaging | 3 |
ECE 605 | Semiconductor Photonic Devices | 3 |
ECE 606 | Microfabrication | 3 |
ECE 632 | VLSI Systems | 3 |
ECE 643 | BioNanotechnology | 3 |
Remaining credits may be taken from 600/700 level courses in ECE, CS, MTH, or any other department in consultation with the academic advisor. | 6 | |
Select Thesis or Non-Thesis Option | 6 | |
Thesis Option: | ||
Master's Thesis | ||
Research in Residence | ||
Continuous Registration--Master's Study | ||
Non-Thesis Option: | ||
Any 600- or 700-Level ECE Courses | ||
Total Credit Hours | 30 |
Cybersecurity Option
Code | Title | Credit Hours |
---|---|---|
Required Courses for Cybersecurity Option | ||
ECE 676 | Internet and Intranet Security | 3 |
CSC 609 | Data Security and Cryptography | 3 |
ECE 673 | Information Assurance | 3 |
ECE 785 | Advanced Problems in CyberSecurity | 3 |
Electives (Select a minimum of 9 credit hours) 1,2 | 9-12 | |
Random Signals and Noise | ||
Communication Networks | ||
Agent Technology | ||
Digital Forensics | ||
Data Mining | ||
Network Security | ||
Pattern Recognition and Neural Networks | ||
Introduction to Parallel Computing | ||
Parallel Algorithms | ||
Select Thesis or Non-Thesis Option | 6 | |
Thesis Option: | ||
Master's Thesis | ||
Research in Residence | ||
Continuous Registration--Master's Study | ||
Non-Thesis Option: | ||
Any 600- or 700-Level ECE Courses | ||
Total Credit Hours | 30 |
1 Remaining credits may be taken from 600/700 level courses in ECE, CS, MTH, or any other department in consultation with the academic advisor.
2 Additional Elective Course Areas: Legal Issues (Digital Evidence and Analysis, Privacy, Legal Response/Responsibilities, Policies)
Mission
The MS program in the Department of Electrical and Computer Engineering is designed to prepare students for both of the following:
- Advanced academic degrees leading to successful careers in teaching and research; and
- Rewarding and productive careers in industrial and government research positions.
Student Learning Outcomes
- The graduate will be able to exhibit broad understanding and mastery of the basic corpus of knowledge representing the discipline. They should be able to apply in their work 1) advanced mathematical principle and 2) advanced knowledge of science and engineering.
- The student will leave the university with the ability to apply critical thinking to complex engineering problems. This means that they should be able to 1) identify advanced engineering problems and address then, and 2) demonstrate proficiency in critically analyzing and solving advanced engineering problems.
- The students will demonstrate proficiency in conveying the results of their work both in terms of written communication and convincing oral presentation.