This M.Tech programme in Artificial Intelligence and Data Science aims to make students master in all the basic and advanced level skills in the various recent tools and technologies involved in the field of Artificial Intelligence and Data Science, Machine Learning and Deep Learning. This programme aims to upskill millions of students in trending technologies through a blend of theoretical and laboratory sessions.
Well-equipped Laboratories are functioning seamlessly every day to enable the use of laboratory facilities for research activities. This programme specializes in various disciplines including Advanced Artificial Intelligence, Data Science, Neural Network, Data Preparation & Analysis, Data Visualization, Expert Systems, Natural Language Processing, Data Mining, Big Data Analysis, Soft Computing, Web Analytics & Development and Deep Learning.
The library is equipped with latest books and e-books, journals, technical magazines, conference papers in various fields of Artificial Intelligence and Data Science which provides additional insight to both students and faculty members. Students are always encouraged to participate in research under the guidance of the experienced faculty members. Students are motivated and encouraged to work on state-of-the-art research and projects under the guidance of qualified faculty members. It is aimed to provide amenities for the students in every possible way and groom them for a successful life ahead.
The post-graduates of the programme will have job opportunities at leading firms in the country and abroad. They will also be able to pursue PhD/Post-Doctorate/Research at premier national and international universities with a great future in research.
Intake Capacity approved by AICTE and affiliated to MAKAUT – 30
B.E./B.Tech. in CSE/IT, Civil, Mechanical, Electrical, Electronics and other programs or M.Sc. in Computer Science/Computer Applications/Mathematics (with & Computer Science Specialization), – MCA (with BCA or B.Sc. with Mathematics compulsory and any of the others from Statistics, Physics, Electronics or Computer Science).