logo
Date
JAC ERP
QUICK LINKS

Profile

 

 The Department of Artificial Intelligence, established in the academic year 2026–2027, is committed to nurturing the next generation of intelligent technology professionals through quality education, innovation, and research. The department offers a comprehensive curriculum that integrates the foundations of computer science with emerging areas such as Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, Data Analytics, and Intelligent Systems.

With a strong emphasis on experiential learning, industry relevance, ethical AI practices, and problem-solving, the department equips students with the knowledge and skills required to develop intelligent solutions for real-world challenges. Through modern laboratories, project-based learning, internships, and research-oriented activities, students are empowered to become competent, innovative, and socially responsible AI professionals capable of contributing to technological advancement and sustainable societal development.

The department strives to create a vibrant learning environment that fosters creativity, critical thinking, lifelong learning, and leadership, preparing graduates to excel in higher education, research, entrepreneurship, and AI-driven industries.

 VISION

“To empower future Artificial Intelligence professionals to become innovative, ethically responsible, and globally competent leaders who leverage intelligent technologies to create sustainable solutions and contribute meaningfully to the advancement of society.”

 

MISSION

“To provide transformative education in Artificial Intelligence through experiential learning, research, innovation, and ethical practices, nurturing lifelong learners equipped with advanced AI knowledge, leadership qualities, and social responsibility to address real-world challenges and drive technological progress for the betterment of humanity.”

Programme Offered

 

Programme Year of Established
B.Sc. Artificial Intelligence 2026

Faculty

Teaching Faculties:

 

Programmes

 

Year Name of the Seminar/Workshop  Agency   Level
2026-2027                      –          –      Nil

 

2025 – 2026