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The overall goal of the Master of Technology in IT (M.Tech. in IT) degree program is to provide master's level instruction in cutting edge computing technology. The program strives to meet the growing global demand for IT professionals who can draw upon a unique combination of technical and theoretical skills to design, implement, maintain and administer IT projects. The program offers project based courses in IT and is designed to satisfy not only the post baccalaureate development of working professionals, but also new graduates who want to set up careers in IT sector. M.Tech. in IT program is designed for students who already hold a bachelor's degree from an accredited institution in Information Technology, Computer Science, Management of Information Systems, or a related area. Graduates of M.Tech. in IT program have the opportunity to study systems and database design, client/server applications (desktop applications, web applications, web services, etc.), networks along with analysis and ethical practices that they could leverage in a variety of employment situations in the IT field. M.Tech. in IT program is a non-thesis option which consists of three core courses plus seven elective courses and a term project.
Admission Requirements
General admission requirements are expected from the applicants holding a bachelor's degree from an accredited institution in Information Technology, Computer Science, Computer Engineering, Management of Information Systems, or a related area. Other candidates may be required to complete foundation/deficiency courses in addition to the M.Tech. degree requirements. Those who do not satisfy the admission conditions will be required to attend to the interview which will be held by the Information Technology Graduate Committee.
Faculty Research Interests
Wireless mobile communications, CDMA communications, fuzzy systems, channel estimation, multi-user detection techniques, channel synchronization and equalization techniques, renewable energy resources, environmental problems, energy generation, IT project management, information extraction, text mining, data mining, databases, classification, machine learning, business intelligence, supervisory control theory, linear and nonlinear systems control, power electronics, global positioning systems, TOA, AOA and TDOA position determination methods, fast vector rotation methods, project/problem/work based learning, online project/problem/work based learning, ICT learning, learning technologies, engineering education, computer education, vocational education, cryptology, data privacy, network security, digital and analog signal processing, digital filter design/implementation, fixed broadband networks, information forensics and security.
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