CSE – Artificial Intelligence & Data Science


BVCITS| BVC Institute of Technology & Science

CSE – Artificial Intelligence & Data Science

        CSE – Artificial Intelligence and Data Science (CSE-AIDS) is the science and Engineering of making Intelligent Machines, especially intelligent computer Programs. CSE-AIDS is an interdisciplinary branch of science, engineering and technology creating a complete ecosystem and widely used in almost every sector of the technical industry, academics and research. Artificial Intelligence and Data Science is the future of technology which are rapidly changing the world at very high rate. The basic objectives of this course is to train students with the next age of Intelligence and analytics generated by machines, influencing the human lives to help improve efficiencies and augment human capabilities, influencing consumer products with significant breakthroughs in healthcare, manufacturing, finance and retail industries.

        BONAM VENKATA CHALAMAYYA INSTITUTE OF TECHNOLOGY & SCIENCE has started this branch in the A.Y. 2020-21 with intake capacity of 66. The aims and objective of the branch is to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods of Artificial Intelligence. This course enables the students to develop their skill set to do intelligent data analysis which is a key component in the emerging Data Science careers in IT field. A major portion of AI involves Machine Learning, which trains the computer systems to understand and copy human behavior by finding data patterns. Machine learning is the link that connects Data Science and AI. AI is the tool that helps data science get results and the solutions for specific problems. The department is emphasized on research, design and development of next generation cutting-edge technologies in the area of Artificial Intelligence and Data Analytics.

        CSE – Artificial Intelligence & Data Science department of the institute is equipped with well-set laboratories. A well – structured class rooms and highly configured computer systems are provided to the students to carry out the lab experiments. Well-qualified and experience faculty members with areas of specialization are disseminated in the department to guide the students to excel in their academic.