Artificial Intelligence and Machine Learning Eligibility Criteria: To be admitted to the Three -year B.Sc Artificial Intelligence and Machine Learning program , candidates must fulfil the following requirements : For National Students Sr. Secondary (10+2) with minimum 50% marks. Mathematics/Statistics/Computer/Information Science being one of the subjects For International Students The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
PROGRAMME OBJECTIVE To understand the basic concepts of statistical learning methods and models. To understand the importance of supervised learning in multivariate data sets. To understand the estimation procedure for multiple regression coefficients To understand the assumptions in estimating regression coefficients using OLS method. To understand the importance of supervised learning and unsupervised learning algorithms for prediction PEO’s To provide quality education at affordable cost, build academic and research excellence maintain eco-friendly and robust infrastructure Program Specific Outcomes (PSO ): All theoretical concepts are implemented in practical which make a student industry ready . Content of the course prepare a student for self-entrepreneurship . The syllabi of the course are a good platform for higher level course in computer science.
UNIQUENESS Skills for success in AI & ML Three year B.Sc (AIML) undergraduate course in Artificial Intelligence (AI) & Machine Learning (ML) is designed to inculcate technically sound knowledge in advanced learning systems that are based on algorithms of Artificial Intelligence and Machine Learning. Working with AI requires an analytical thought process and the ability to solve problems with cost effective and efficient solutions . Professionals need technical skills to design, maintain and repair technology and software programs. Those interested in becoming AI professionals need a education qualification based on foundations of maths , technology, logic and engineering prospective . Cognitive Science skills.
CAREER OPPORTUNITIES There is a scope in developing the machines in game playing, Speech recognition, language detection machine, computer vision, expert systems, robotics, and many more As per International Data Corporation (IDC) Worldwide AI Guide, spending on AI systems will accelerate over the next several years as organizations deploy AI as part of their digital transformation efforts & to remain competitive in the digital economy Global spending on AI is forecast to double over the next 4 years , $50.1 billion in 2024 to more than $110 billion in 2028.