UMBC’s Computer Science and Electrical Engineering Department offers both M.S. and Ph.D. programs in Electrical Engineering. Below you will find information on both Electrical Engineering graduate programs, and information about how to apply.
All students (both PhD and Masters) should take at least five courses from the courses listed under Groups A and B, and at least two of these courses should be from Group A.
Group A Courses (offered every year):
- ENEE 620 Probability and Random Processes
- ENEE 621 Detection and Estimation Theory
- ENEE 630 (Solid-state Electronics) or ENEE 631 (Semiconductor Devices)
- ENEE 680 Electromagnetic Theory
Group B Courses (selected subset is offered every year)
- ENEE 610 Digital Signal Processing (Cross-listed with CMPE 422)
- ENEE 612 Digital Image Processing
- ENEE 622 Information Theory
- ENEE 683 Lasers
- ENEE 684 Introduction to Photonics
- ENEE/CMPE 605 Applied Linear Algebra
- ENEE 718 Advanced Topics in Signal Processing
- CMPE 611 Computer Architecture (CMSC 611)
- CMPE 615 Digital Signal Processing Hardware Implementation*
- CMPE 640 Custom VLSI Design
- CMPE 641 Advanced VLSI Design II
- CMPE 645 Computer Arithmetic Algorithms & Implementations
- CMPE 647 Analog IC Design
- CMPE 650 Digital Systems
- CMPE 670 Biomedical Microsystems
- CMPE 684 Wireless Sensor Networks
- CMPE 685 Principles of Communications Networks
Students must consult with their assigned advisors prior to registration and finalize their course selection with their advisors. All courses need to be approved by the student’s advisor.
A star next to the course name denotes that new course application is in progress for the given course.
Some instances of CMPE and ENEE 691 may be designated as group B electives; please check with your advisor prior to taking such a course.
M.S. in Electrical Engineering
Within five years of admission, the student must earn a minimum of 30 credit hours for the thesis option (6 of which are MS thesis research credits ENEE 799) or 33 credit hours (3 of which is the graduate project research ENEE 698) for the non-thesis (w/project) option. All M.S. students must choose either the thesis or non-thesis (w/project) option: there is no course-only option.
At least six of these courses (18 credits) (for both Masters options) must be graduate ENEE or CMPE courses, i.e., ENEE/CMPE courses at the 600 or 700 level. The remaining four courses (12 credits for MS w/project) and two courses (six credits for MS thesis) can be MATH, STAT, CMSC, or from any other related discipline. A maximum of two 400 level courses (six credits) are allowed in MATH/STAT only, and a maximum of three credits of Independent Study (ENEE/CMPE 699) are allowed.
Students must receive a grade of B or better in two of the Group A courses.
Requests for approval of non-CMPE/ENEE course credits must be submitted before registering for the course. There is a form available for this request and must be signed by the student’s research advisor
Ph.D in Electrical Engineering
Students are required to take a minimum of 11 courses (33 credits) beyond the bachelor’s degree. At least seven of these courses (21 credits) must be graduate ENEE or CMPE courses, i.e., ENEE/CMPE courses at the 600 or 700 level excluding ENEE 66X and ENEE 67X. The remaining four courses (12 credits) can be MATH, STAT, CMSC, or from any other related discipline. Only three credits of Independent Study (ENEE/CMPE 699) can count toward the total course requirement. Students who have received their Masters at UMBC are allowed to count two 400 level MATH/STAT courses for the PhD degree with approval of their advisors. The doctoral dissertation must be an original and substantive contribution to knowledge in the student’s major field. It must demonstrate the student’s ability to carry out a program of research and to report the results in accordance with standards observed in the recognized scientific journals related to that field.
Doctoral students must: (a) submit their PhD Comprehensive Portfolio and receive a pass grade (P) within four (4) semesters of entrance to the program (six (6) semesters for part-time students); (b) develop and defend a doctoral dissertation proposal and be admitted to doctoral candidacy within four (4) years of entrance to the program (five (5) years for part-time students); and (c) complete all Ph.D. requirements for their field of specialty within four (4) years of admission to doctoral candidacy.
Students must receive a grade of B or better in two of the Group A courses.
Requests for approval of non-CMPE/ENEE course credits must be submitted before registering for the course. There is a form available for this request and must be signed by the student’s research advisor.
For students who are already in the program (admitted prior to Fall 2012):
- ENEE 601, ENEE 623, and CMPE 691 (Embedded Systems and FPGAs) can each count as a Group B elective.
- The core course requirement, i.e., the courses a student must take from Groups A and B is four rather than five (at least two of these courses must be from Group A). This is true for the PhD portfolio course requirements as well, i.e., students must satisfy the GPA requirement for four core courses rather than five.
- Signal processing
- Sensor technology
In signal processing, both traditional model-based (such as statistical signal processing) as well as data-driven signal processing methods are emphasized with applications in medical imaging and data analysis, communications and remote sensing. In nano/micro/opto-electronics, the current emphasis areas are MOCVD crystal growths, NIR and MIR optoelec-tronics and technologies for health and environ-mental applications, bio-photonic and photoacoustic sensing for chemical and biological imaging and identification. Finally, In photonics, the current work includes silicon photonics, Ultra-high capacity optical networks, RF-photonic systems and components.
Meet the Professors
|Dr. Fow-Sen Choa, Optoelectronics
Dr. Fow-Sen Choa uses a Chemical Vapor Desposition System to grow semiconductors that are used for chemical detection and breath analysis using photo-acoustic (PA) effects. In addition, he has been working with undergraduate students at UMBC on projects dealing with flying robots, Fourier analysis of music instrument, x-ray scan of superlattice crystal growths, and brainwave measurement and analysis. For more information, read his research profile.
|Dr. Tulay Adali, Statistical Signal Processing
Dr. Tulay Adali specializes in statistical signal processing.Since 1992, Dr. Adali has been the director of the Machine Learning for Signal Processing Lab (MLSP-Lab) at UMBC. Currently, she has been working on diagnosing schizophrenia by analyzing functional MRI and other medical imaging data. For more information, read her research profile.
Click here for a complete list of Electrical Engineering Faculty.
How to Apply
Pre-requisites for Admission
Applicants must have a B.S. degree in Electrical Engineering from an ABET-accredited undergraduate program with a GPA equivalent to ‘B+’ or higher. Individuals whose records indicate strong potential for successful pursuit of the master’s or doctoral degree objectives and who have similar undergraduate preparation with strong academic records in computer science, mathematics, physics or other areas of engineering or science are encouraged to apply (B.S. degrees in engineering technology are not considered equivalent to the B.S. degree in engineering or the B.A. degree in the sciences). Students whose degrees are not in electrical engineering generally will be required to take courses to make up deficiencies in their backgrounds. Students who plan to pursue the Ph.D. degree but who do not already have an M.S. degree are advised to apply for admission to the M.S. program.
The Application Process
Apply online through UMBC’s Graduate School Website. Applicants must also submit:
- An Official Transcript
- 3 Letters of Recommendation
- Statement of purpose (See Preparation Guidelines)
- Graduate Record Examination (GRE) scores or GRE Waiver Form
- TOEFL scores (International students only)
- Fall: January 1st
- Spring: June 1st
- Fall: January 1st (for financial consideration), June 1st
- Spring: June 1st (for financial consideration), November 1st