About the Department

The Department of Artificial Intelligence and Machine Learning was established in the year 2024 under the auspices of the Faculty of Science and Humanities with an intake of 180. It is committed to nurturing innovative, skilled, and ethical AI professionals capable of addressing real-world challenges and driving technological advancements that benefit our nation and humanity.

The Department of AI & ML offers a vibrant academic environment and state-of-the-art infrastructure for the successful conduct of both undergraduate programs. The driving force behind this success is the seamless coordination among our dedicated faculty, supportive staff, and enthusiastic students.

Our faculty members, with their expertise and commitment, ensure the delivery of high-quality education while fostering critical thinking, problem-solving skills, and research aptitude among students. In response to the rapid growth and demand in AI & ML, was introduced in the year 2024, expanding the department’s academic horizon and research capabilities.

  • To create, disseminate, and apply knowledge in all areas of computer science, including interdisciplinary fields that broaden the field's application and advance humankind.
  • To equip to work both independently and in teams to solve challenging problems across domains and foster the development of communication skills as an integral part of the profession
  • To be successful, moral, ethically strong in the diverse society and encourage consistent and constant active
  • learning throughout the life that will positively impact growth of the individual and the country
  • To spearhead the progress of computer science by globally acknowledged research and technology transfer
  • To be an aspiration, idealized future state for a company, act as inspiration and a roadmap for organizing and making decisions.
  • To reach the goals of expansion and improvement of the department and rank among the top computer science departments in the world for teaching, learning, research, and community involvement.
  • Ensure that students have high quality learning experiences by implementing efficient classroom procedures, using active learning techniques, and creating chances for students and faculty to engage in meaningful interactions.
  • To provide quality education in Artificial Intelligence and Machine Learning.
  • To prepare students for careers in AI-driven industries and research.
  • To encourage innovation and problem-solving through projects and hackathons.
  • To develop technical, analytical, and soft skills for holistic growth.
  • To promote industry collaboration for internships and job opportunities.
  • To engage students in research, publications, and community initiatives.
  • Higher Education – There are many students pursuing postgraduate degrees in computer science fields in reputed universities in India and abroad.
  • Campus Placements – Students get placed in leading IT and AI-based companies through strong industry connections and campus recruitment drives.
  • Entrepreneurship – Encouragement and guidance for students to start AI-based startups and innovation-driven ventures.
  • Research Contributions – Participation in research projects, paper publications, and conferences at national and international levels.
  • Skill Development – Continuous enhancement of technical and non-technical skills through workshops, certifications, and internships.

UG Programme:

  • A pass in 10 + 2 (Higher Secondary) with a minimum aggregate of 50% (or)
  • A pass in Diploma in Engineering (10+3 or 10+2+2 Pattern) from a recognized government or competent authority with a minimum aggregate of 50%.
  • Mandatory subjects: At least one of Mathematics / Business Mathematics / Statistics / Allied Mathematics.

Strength of the Department

  • Industry-Aligned Curriculum – A comprehensive and up-to-date syllabus designed to meet the latest industry demands in Artificial Intelligence, Machine Learning, and Intelligent Automation.
  • Expert Faculty – The department boasts a distinguished team of accomplished well experienced & qualified faculty members and seasoned industry professionals, comprising 5 faculty members with doctoral degrees and 7 faculty members currently pursuing their Ph.D. Their collective expertise covers diverse domains such as AI algorithms, Deep Learning, Natural Language Processing, Computer Vision, and Big Data Analytics.
  • State-of-the-Art Infrastructure – The Computer laboratories equipped with high-end computing systems, and the latest software platforms to enable immersive, hands-on learning and cutting-edge research.
  • Research and Innovation Focus – Students are encouraged to propose research-based projects and having opportunities to engage in impactful research projects, interdisciplinary collaborations, and AI innovation challenges to address real-world problems.
  • Industry Partnerships – Strong collaborations with leading AI-driven organizations, providing students with internships, live industry projects, and career placement opportunities in top companies.
  • Holistic Skill Development – Emphasis on developing both technical and essential soft skills such as analytical thinking, problem-solving, communication, collaboration, and leadership for success in AI-driven careers.
  • Career Advancement Support – A dedicated placement and career guidance cell offering CDC, resume-building workshops, mock interviews, and global job readiness programs to ensure graduates are industry-ready.
  • Vibrant Club Activities – The department actively hosts multiple clubs and student chapters, including Technical Club, Coding Club, Industry Connect Club, and Innovation Hub. These clubs conduct workshops, hackathons, seminars, guest lectures, coding challenges, and inter-college competitions to enhance practical skills, creativity, and teamwork.

Salient Features

  • Updated syllabus matching latest AI & ML trends.
  • 5 Ph.D. holders and 7 pursuing Ph.D. in core areas.
  • Modern Computer labs with emerging softwares and tools.
  • Real-world projects, research, and innovation programs.
  • Partnerships with top companies for internships and jobs.
  • Active clubs and forums for skill-building activities.
  • Focus on both technical and soft skills.
  • Strong placement and career support.