Thank you for your interest in the graduate program in the Department of Electrical Engineering and Computer Science at CUA. Our faculty are very active in research and strongly committed to high quality education. Our focus areas for research include:

1. Pattern Recognition, Database Systems, and Software Development -  (Relevant Classes)
Statistical and visual data analysis; Bayesian decision theory; density estimation; classifiers; dimensionality reduction; feature extraction; feature selection; clustering; and database design. Applications include quantitative image analysis, dynamic computing environments, quality assurance in software, and bioinformatics.

 

2. High Speed Communications and Networking -  (Relevant Classes)
Broadband networks: Asynchronous Transfer Mode based networks; Optical Transport Networks: Architectures, protocol layers, protection and restoration; Wireless networks: Iterative (turbo) processing techniques; Network Security: Multimedia authentication; Applications: Multimedia over IP, multi-protocol over optical transport networks, optical internet;

 

3. Visualization and Computer Graphics -  (Relevant Classes)
Visualization, computer graphics, medical image processing and analysis, minimally invasive image-guided system, image registration, and bioinformatics.

 

4. MicroOptics and BioImaging -  (Relevant Classes)
Acousto-optics, Optical information processing, hyperspectral imaging, molecular information storage, bio-electronics, bio-optics, computational and molecular imaging.

 

5. Signal and Image Processing -  (Relevant Classes)
Application of detection and estimation theory to broad areas of signal/image processing, radar tracking, chemical agent detection and classification, image sequence restoration, image motion detection and estimation.

 

6. Antennas and Electromagnetic Propagation -  (Relevant Classes)
Antenna design and development for different applications, such as wireless communications, satellite communications, and military platforms; Creating and using antenna design tools for different antennas such as reflectors and phased arrays; Implications of antenna performance on communication systems; Characteristics of wave propagation through different media, such as random media, layered media, etc.

Our course offerings reflect these strategic focus areas. For the graduate course list in Computer Science, click here; for the graduate course list in Electrical Engineering, click here.

If you are considering our Master's Degree program, minimum entrance requirements are a Bachelor's Degree in engineering, science or mathematics, with a GPA of 3.0 or greater for regular admission. Sudents with a GPA of 2.5–3.0 may be admitted on a provisional basis, however. Change of status from provisional to regular admission occurs after two semesters upon review of academic performance. Courses taken during the provisional status are accepted as regular courses towards the degree. To earn the Master of Science degree, 30 semester hours of credit are required.

For the Ph.D. program, minimum entrance requirements are a Master's degree with a GPA of 3.4 or higher. A student having completed the Master's degree at CUA can continue toward the Ph.D. by taking an additional 8 courses and completing a doctoral dissertation under faculty supervision. Students entering with a Master's degree from another institution require ten additional graduate courses. Teaching and research assistantships are available for high caliber students.

For students coming from outside the United States, please note that CUA requires each student to declare a minimum of $31,145 per year in support in order to receive an I-20 visa form. Married students who plan to bring their families should add to their total living expenses $5,000 per year for their spouse and $3,000 per year for each child.

As Chairman of the Electrical Engineering and Computer Science department, I would like to invite you to consider pursuing graduate studies in our department. Please contact me if you have any questions or would like to plan a visit.