Artificial Intelligence

1. 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.

2. 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.

3. UNIQUENESS
Skills for success in AI & M
 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.

4. 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.

5. Placement

7. THANK YOU