Symbiosis Institute of Technology, a constituent of Symbiosis International University was established in the year, 2008 and currently offers B. Tech programmes in Civil Engineering, Computer Science and Engineering, Electronics & Telecommunication Engineering, Information Technology and Mechanical Engineering and M.Tech programmes in Computer Aided Design and Manufacture, Electronics and Telecommunication Engineering, Computer Science and Engineering. Research programmes leading to Ph. D. Degree were introduced in Faculty of Engineering of Symbiosis International University in 2010.

The Institute endeavors to provide quality technical education in line with the requirements of today's competitive industry and fast paced technological developments. The curriculum developed by the Institute lays a stress both on basics and latest developments. Realizing the fact that faculty is the most important resource, special efforts have been made to find, recruit and retain highly qualified and competent faculty. Infrastructure created and acquired by the Institute, like all other Symbiosis Institutes, is of a very high quality and includes multimedia classrooms, well equipped labs including software for CAD/CAM, simulations and other applications, well stocked modern library with digital media, auditorium, seminar halls, separate hostels for boys & girls and playgrounds.

The Institute has international collaborations for student and faculty exchange with Nanyang Technological University Singapore, Ingolstadt University Germany, Purdue School of Engineering, IUPUI Indianapolis USA and Leibniz University Hannover.

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About the Director, Symbiosis Institute of Technology

Dr. Ketan Kotecha

Dr. K Kotecha, Director, Symbiosis Institute of Technology and Dean, Faculty of Engineering, Symbiosis International (Deemed University), India

Dr Kotecha has a doctorate from IIT Bombay with very illustrious and path-breaking research activities under his belt. A researcher- teacher of Deep learning, his interest areas are Artificial Intelligence, Computer Algorithms, Machine Learning, Deep Learning Higher Order Thinking Skills, Critical Thinking and Ethics & Values. He has more than 100 papers published /presented at international conferences around the world, to his credit and 3 patents filed. He is Guide to doctoral students working on the various fields of Computer Engineering and especially in Machine Learning for Ph.D/M.Tech Degrees.