2024
Established
60
Annual Intake
NAAC / Bharathiar University
Accreditation
Affiliated to Bharathiar University
Affiliation
About the Department
B.Sc. Artificial Intelligence & Machine learning programme prepare students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. During the past ten years, data science has emerged as one of the most high-growth, dynamic and lucrative careers in technology.
The department aims to providing not only the core technologies such as artificial intelligence, data mining and data modelling but also gives intensive inputs in areas of machine learning and big data analytics.
The students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientist and may have career opportunities in health care, business, social networking companies, climatology, biotechnology, genetics and other important areas.
HoD's Desk
Head of Department
Assistant Professor / Associate Professor
Expertized with the principles of Artificial Intelligence and problem solving, inference, perception, knowledge representation, and learning.
Exhibit high standards with regard to application of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
Investigate with a machine learning model for simulation and analysis and explore the scope, potential, limitations, and implications of intelligent systems.
Vision & Mission
To be a centre of quality education and research in AIM, producing graduates who excel professionally and contribute socially.
- 1Expertized with the principles of Artificial Intelligence and problem solving, inference, perception, knowledge representation, and learning.
- 2Exhibit high standards with regard to application of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
- 3Investigate with a machine learning model for simulation and analysis and explore the scope, potential, limitations, and implications of intelligent systems.
Program Outcomes (POs)
Domain Knowledge
Apply core knowledge and skills in the discipline to solve real-world problems.
Analytical Ability
Demonstrate analytical, critical thinking, and problem-solving skills.
Communication
Communicate effectively in oral and written forms in professional contexts.
Ethics and Values
Practice professional ethics and demonstrate social responsibility.
Lifelong Learning
Pursue continuous learning and adapt to changing professional requirements.
Teamwork & Leadership
Work effectively in teams and demonstrate leadership qualities.