VISION

“ To be a global centre of excellence in Artificial Intelligence and Data Science education research and innovation, empowering   students and professionals to drive transformative change through ethical AI ,advanced analytics and data-driven decision making ”.

MISSION

“To provide high quality education cutting – edge research and industry-driven innovation in Artificial Intelligence and Data Science, equipping students and professionals with the knowledge skills and ethical mindset to solve real-world challenges and shape the future of intelligent systems.

DEPARTMENT HIGHLIGHTS

• Provide high-quality education in AI, Machine Learning, Data Science, and related emerging technologies through a rigorous and industry-aligned curriculum.
• Foster innovation and research, encouraging students and faculty to develop intelligent systems and data-driven solutions for societal and industrial challenges.
• Promote ethical and responsible AI practices, ensuring students understand the social, legal, and environmental implications of intelligent technologies.
• Build strong industry and academic collaborations to facilitate internships, projects, and knowledge exchange.
• Develop skilled professionals equipped with analytical thinking, problem-solving abilities, and lifelong learning habits to excel in a rapidly evolving technological landscape.

DEPARTMENT LABS:

• Artificial Intelligence Lab
• Deep Learning Lab
• Big Data and Analytics Lab

PROGRAMME OUTCOMES(POs)

PO1 – Engineering Knowledge

PO2 – Problem Analysis

PO3 – Design and Development of Solutions

PO4– Conduct Investigations

PO5-Modern Tool Usage

PO6– The Engineer and Society

PO7-Environment and Sustainability

PO8– Ethics

PO9– Individual and Team Work

PO10 -Communication

PO11-Project Management and Finance

PO12 – Life-long Learning

CAREER OPPURTUNITIES

A career in Artificial Intelligence and Data Science offers diverse, high growth opportunities across industries.

Typical Roles

• Data Scientist
• Data Analyst
• Business Intelligence Analyst
• Research Scientist

Key Skills

• Statistics &Probability
• Data Visualization(Tableau,Power BI)
• Python/R Programming
• SQL,NoSQL database

Industries Hiring

• Finance
• Health care
• Commerce
• Consulting
• Gaming
• Retail

VALUE ADDED COURSES

• These are short courses often offered within engineering colleges to boost practical skills.
• Data Representation and Interpretation using Python
• Chatbot Development
• Rapid Development for AI
• Augmented Reality &Virtual Reality(AR&VR)
• Reinforcement Learning Methods