Introduced in 2021, the course Bachelor’s of Computer Science (Specialization in Artificial Intelligence & Machine Learning)) has been a source of knowledge to keep up with the trends through Artificial Intelligence & Machine Learning technology. Knowledge in this course has not just been limited to classroom but also with expertise from the industry enlightening students to be driven with technology. The college has strived to constantly update the course to keep up with the latest trends in the Artificial Intelligence & Machine Learning.This unique program in B.Sc. CS ( Hons) course with specialization in Artificial Intelligence & Machine learning provides a specialized career option for the students in the fast-growing technology sector, Artificial Intelligence. In addition to all the mandatory subjects of a traditional engineering program, this specialized program offers in-depth practical know-how of the current trend Technology – Artificial Intelligence.
Program Title: Bachelor of Science-CS (Honours) (Specialization in Artificial Intelligence & Machine learning)
Level: Graduation
Specialization Domain: Artificial Intelligence & Machine learning
No of years: 3 Years
No. of Semesters: 6 semesters
This unique program in B.Sc. CS ( Hons) course with specialization in Artificial Intelligence & Machine learning provides a specialized career option for the students in the fast-growing technology sector, Artificial Intelligence. In addition to all the mandatory subjects of a traditional engineering program, this specialized program offers in-depth practical know-how of the current trend Technology – Artificial Intelligence.
Artificial Intelligence (AI) is the sub-area of computer science devoted to creating software and hardware to get computers to do things that would be considered ‘intelligent’ as if people did them. Artificial intelligence has had an active and exciting history and is now a mature area of computer science. Many of the research discoveries have now reached the point of industrial application and many companies have made and saved millions of dollars by utilizing the results of AI research. However, the goal of emulating human intelligence has not been reached and many stimulating and challenging problems remain. The Challenging problems which human finds difficult to solve, can be tackled using sophisticated technology of AI Sciences.
Artificial intelligence is poised to unleash the next wave of digital disruption. The demand for solving real life scenarios makes Artificial Intelligence (AI) stronger. The real-life benefits of AI make it more urgent than ever for organizations to accelerate their digital transformations. AI investment is growing fast, dominated by digital giants such as Google, Amazon and Baidu. The Indian IT and start-up sectors have a lot to benefit from AIML. It will offer companies unparalleled advantage of data-driven decision-making which will improve their efficiency and provide cost effective alternatives to certain business processes. Start-ups that are basic can adopt and integrate AI technology to make their business process the data and intelligence-driven, giving the most value for their investment in AI.
Machine learning, as an enabling technology, received the largest share of both internal and external investment. AI’s dependence on a digital foundation and the fact that it often must be trained on unique data mean that there are no shortcuts for firms. Those who wish to pursue careers in this exciting new age domain, should know about major AI techniques, which are now regarded by many as core knowledge for any Computer Science professional. This course will allow students to gain generic problem-solving skills that have applicability to a wide range of realworld problems pertaining to AI.
Research Area: Data Structure and algorithm, Python, Database, Object oriented Programming
Research Area: Mathematics, Data Science and Machine Learning
Research Area: Graph Theory, Inferential Statistics, Discrete Mathematics
Research Area: Data Science and Machine Learning, Software Engineering, Computer, visualization
Research Area: Cryptography and Biometric
Research Area: Machine Learning, Natural Language Processing, Digital Image Processing
Research Area: Information Security, Cloud Technology
