Intake: 60
Choice Code: 1635492110
Vision:
To be a pioneer department in AL & ML to impart knowledge and research culture for holistic growth and societal advancement.
Mission:
- Deliver comprehensive education in AI and ML combining theory and handson practice.
- Foster a research-driven environment encouraging innovation and problemsolving.
- Instill ethical values and social responsibility in the application of AI technologies.
- Promote entrepreneurial skills to develop impactful Al solutions globally.
About Department
The Department of Artificial Intelligence and Machine Learning (AI & ML) is a forward-looking and dynamic academic branch dedicated to preparing students for the future of technology and innovation. With the rapid evolution of intelligent systems and data-driven technologies, AI & ML have become the backbone of Industry 4.0, transforming every sector—from healthcare and finance to transportation, education, and cybersecurity.
This specialized program equips students with a deep understanding of core AI principles, machine learning algorithms, data science, natural language processing, computer vision, neural networks, and deep learning. The curriculum is carefully designed to strike a balance between theoretical foundations and hands-on experience, empowering students to develop realworld solutions using advanced tools, platforms, and programming languages like Python, R, TensorFlow, and more.
Our department is supported by a team of experienced faculty, modern laboratories, and industry-aligned projects, ensuring that students are not only academically sound but also industry-ready. Regular workshops, hackathons, internships, and expert lectures provide exposure to current trends and applications in AI, robotics, automation, and intelligent systems.
Students are encouraged to engage in research, innovation, and entrepreneurship, with opportunities to work on interdisciplinary projects and publish in reputed journals. The department maintains strong collaborations with industry leaders and tech companies to bridge the gap between classroom learning and real-world applications.
As AI continues to revolutionize the global job market, our graduates are well-positioned for exciting careers as Machine Learning Engineers, Data Scientists, AI Researchers, NLP Engineers, Computer Vision Specialists, and AI Product Developers in top-tier companies, research organizations, and startups.
Major Minor Course list
- The concept of Major and Minors at B.Tech level is introduced , to enhance learning skills of students, acquisition of additional knowledge in domains other than the discipline being pursued by the student, to make the students better employable with additional knowledge and encourage students to pursue cross-discipline research.
- Eligibility Criteria and rules to award Majors
i) The Student should have Minimum CGPA of 7.5 up to 4th Semester
ii) Student willing to opt for majors has to register at the beginning of 5th Semester
iii) The Student has study advanced courses from the same discipline specified in the curriculum amounting to 20 credits. The students should complete these credits before the end of last semester.
iv) Student to opt for the courses from NPTEL/ SWAYAM / Coursera /other MOOC platform as recommended by concern BOS
v) If the credits of NPTEL/ SWAYAM/ Coursera /other MOOC platform courses do not match with the existing subject proper scaling will be done.
Student complying with above criteria will be awarded B.Tech (Honours) Degree - Eligibility Criteria and rules to award Minor Degree
i) The Student should have Minimum CGPA of 7.5 up to 4th Semester
ii) Student willing to opt for minor has to register at the beginning of 5th Semester
iii) The Student has to complete additional courses from other discipline of their interest, which are specified in the respective discipline amounting to 20 credits
iv) Student to opt for the courses from NPTEL/ SWAYAM / Coursera /other MOOC platform as recommended by concern BOS
v) If the credits of NPTEL/ SWAYAM / Coursera /other MOOC platform courses do not match with the existing subject proper scaling will be done)
Student complying with above criteria will be awarded Minor Degree. - It is expected that all courses declared under Majors and Minors should be completed by the students through online platform. If courses are not offered by the online platform in such a situation student is permit to complete the course(s) in self study mode or offline mode offered by University