Artificial Intelligence and Data Science

Businesses rely increasingly on AI and DS, and the speed with which computing technology continues to transform our daily lives is truly astonishing. Specialists in this subject area are in demand all over the world because their applied skills can revolutionize businesses and organizations of all kinds.

The fast changing technological scenario poses to the Institute a challenge of continuously updating its curriculum and faculty to be able to provide state-of-the-art education to the students. Changes, both major and subtle, have been made by the department of Artificial Intelligence an Data Science (AI), to be better prepared for tomorrow.

The B.Tech program in Artificial Intelligence and Data Science was started in the year 2020 with an intake of 60. 

The department is headed by Dr. Gandikota Ramu, with vast Industrial and Teaching experience of 10 years. The department currently has 49 faculty members, including four doctorates. Faculty research interest spans a wide range: from abstract theory to down-to-earth problems of immediate interest to industry.  Current areas of research of the department has broadly classified into the following categories: Algorithms; Artificial Intelligence, Soft Computing, and Machine Learning; Data Mining and Business Analytics; Wireless Protocols; Information Retrieval Systems; Networks and Internet Technologies; Software Engineering and Languages.

The department is actively involved in R & D as well as consultancy projects and has collaborations with several industries, academic institutes and R & D organizations in the country. 

The modern air conditioned laboratories of the department serve the teaching and research needs of the students and faculty. All systems are connected to the department LAN through fiber optic which is a part of the Institute LAN network. Internet connectivity is provided by a 200 Mbps link leased from Gateway and Vainavi. Additional facilities like Central Computing Facility, e-Class room with multimedia facilities, Internet, Centrally air-conditioned Seminar Hall/Auditorium are also available.

The department has been striving hard to inculcate conceptual and technical skills in students through a scientific teaching methodology based on lectures, case studies, seminars, group discussions, project works, assignments, quiz programs etc. The systematic and well planned approach to problem solving is emphasized in the classrooms, laboratories through the course projects and additional computer training beyond the scope of the syllabus. Teaching aids such as LCD Projector, OHP, CD demo, equipment demonstrations, Models, Charts etc are regularly used to enhance better understanding. Around 18 students of each class are allocated to a teacher who keeps a close rapport with each student with regard to academic and personal matters.

Computer Engineers Technical Association (CETA) is a students’ body for conducting career developing, interpersonal and intrapersonal skills of students. It organizes Seminars, Quiz Programmes, Industrial Visits, Paper Contests, Group Discussions, Guest Lectures, Career Guidance, Games etc under its auspices. Student Chapters of IEEE, ACM, CSI and ISTE conduct events round the year, keeping students busy with beyond-the-classroom activities.

A good number of Students (more than 80%) find placements in the campus interviews by leading companies like Infosys Technologies Limited, Tech Mahindra, NTT Data, Mphasis, Tata Consultancy Services, Cyient, CDK Global, NCR Corporation, Computer Sciences Corporation and Cyient etc. and lead a successful career. About 10% of the students get admissions in prestigious institutes in India and abroad for higher studies and are performing well there.