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Home » Ongoing Happenings » New Master’s Program in Computer Science with AI launched by Case Western Reserve University in collaboration with INSOFE
New Master’s Program in Computer Science with AI launched by Case Western reserve University in collaboration with INSOFE – Digital Journal
Hyderabad – Case Western Reserve University, one of the premier private universities in USA has collaborated with INSOFE to offer dual specialization master’s in computer science and Artificial Intelligence.

The program was formally launched on the 23rd of July, 2021 through a virtual session. Speaking at the Program Launch, Dr. Vipin Chaudhary, Department Chair, Computer and Data Sciences Department at Case School of Engineering elaborated on how the Department is taking huge strides in nurturing world class computer scientists. Dr. Vipin who is a President’s Gold Medal recipient from IIT – Kharagpur was excited about the research opportunities students are exposed to and also the opportunities to make a global career in Computational Data Sciences.

Dr. Dakshinamurthy V Kolluru, President and Co-Founder of INSOFE explained the vision and philosophy behind the dual specialisation masters. Dr. Murthy further explained how the program is structured to open multiple career avenues to students who would like to be AI Specialists and ML Researchers. “We are looking at building a knowledge capital that can think of engineering solutions to solve computational challenges, problems in Data Storage, security and Privacy using Artificial intelligence”.

Dr. Vincenzo Liberatore, Co-Chair of the program explained the employment outlook and how students at Case Western Reserve University are getting employed at some of the world class companies. Dr. Brian Amkraut, Executive Director at Siegal Lifelong Learning added – “We are happy about the quality of the students who are joining the dual specialization masters. It is an excellent opportunity for students to master the engineering core as well as application of Data Science, AI and Machine Learning on Engineering Problems.”
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