Our students learn from an internationally respected faculty, work with industry as well as clinical professionals on real-world projects, and develop the skills and expertise crucial for success in this competitive and rapidly changing environment. All three tracks listed below are available for students pursuing M.S and Ph.D. degrees in Computer Science and in Electrical Engineering.

Speech, Language and Interactive Systems

Students in this track not only receive a thorough grounding in signal processing in speech technologies, natural language processing, machine learning, adaptive signal processing, and pattern recognition but can then apply their understanding to problems in biomedical engineering, speech systems, neural networks, or artificial intelligence.

Computer Engineering and Design

This track, taught by real world industry experts, provides career-focused instruction in the design of computer hardware circuits and systems. Conveniently located, and scheduled with working professionals in mind, courses are oriented around silicon design--from circuit to register-transfer level--and the implement-
ation of general and special purpose hardware.

Machine Learning and Adaptive Systems

Machine Learning and Adaptive Systems provides an interdisciplinary curriculum based on adaptive signal processing, statistical pattern recognition, time series analysis and prediction. Students gain experience in real world applications such as signal processing, image processing, video processing and computer and human vision.