About Department

                       The future era on technical education is stepping to Artificial Intelligence (AI) and Machine Learning (ML), and Karpagam College of Engineering Always takes the young engineers to next edge of future technologies, the program will open various career opportunities involving innovation and problem solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies as well as research careers in AI and ML.

                       Along with courses that provide specialization in AI, students will also have options to explore some applied domains such as computer vision, natural language processing, robotics, data analytics and computer security. This enables the B. Tech. in AI graduates to take up careers in R&D positions in Industry, academia and research laboratories. The 4-year under graduate program is divided into 8 semesters, with each year containing 2 semesters. The course content provides the students with proper insight about the domain of Artificial Intelligence with a firm foundation in ‘Mathematics for Artificial Intelligence’. The carefully designed syllabus provides the students with deep knowledge in the core areas of Algorithm analysis and design, Modern Computer Architecture, foundations of Artificial Intelligence, Data Science and Machine Learning and Parallel and Distributed Data Management etc.

Highlights of the Specialisation

                          AI and Data Science is the current trend ruling the business world and it is a highly paid career now. Artificial Intelligence and data science is a suitable course for those who would like to develop various intelligent business solutions. Big data solutions have changed the way business models are built and run. This study contributes much in manufacturing, e-commerce, banking, finance, transport, and healthcare industry.

                        The Core courses give them sufficient expertise in the areas of Algorithm Analysis and Design, Modern Computer Architecture, Artificial Intelligence Foundations, Data Science and Machine Learning, Parallel and Distributed Data Management, etc. Elective courses include various application domains of AI such as Robotics, Video/Image Analytics, Medical Signal Processing, Agents Based Systems, Data Mining and Business Analytics, Natural Language Processing, Wireless Sensor Networks, Internet of things, etc.

                        Once they complete the course, students get opportunities to get fully paid Internships and placement offers at MNCs and IT/ITES companies like Intel, Cerner, Robert Bosch, DELL, etc. Also, they could publish quality research papers of the case studies/dissertations done as part of their B. Tech. program.


                       To become an integrative department through creativity and innovation in developing systems with Artificial Intelligence and Data Science to serve society.


  • Engage collaborative activities with the industry to produce industry-ready and future-ready talent.
  • Foster the spirit of lifelong learning in students through practical and social exposure beyond the classroom.
  • Provide multi-disciplinary research and innovation driven academic environments.
  • Practice and instil the highest standards of professional ethics, transparency and accountability at all levels.


> Duration: 4 years (Regular) / 3 years (Lateral Entry)

> No. of Semesters: 8 (Regular) / 6 (Lateral Entry)

> No. of Seats: Total – 120

> Eligibility: 10+2 system of Education. Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.

> Scope for Higher Studies: M.E. / M. Tech. / MBA / M.S. / Researcher


1Dr. Manikandan S
Head/ Assistant professor
2Mr. Surenther I
Assistant professor
3Ms. Sathya K
Assistant professor


Ms. Nivetha S
Assistant professor
5Ms. Dhivya P
Assistant professor
6Mr. Karthikeyan G
Assistant professor
7Mr. Sakthivadivel M
Assistant professor
8Mr. Rajkumar R
Assistant professor