NMAM Institute of Technology Courses

NMAM Institute of Technology provides several scholarship opportunities for its postgraduate students. Scholarships are primarily merit-based, targeting students who demonstrate outstanding academic performance. Specifically, 20% of the seats across various programs are reserved for toppers in the NUCAT examination, and successful candidates may receive up to 40% fee concessions based on merit. NMAM Institute of Technology offers financial aid programs and follows the reservation policy as per the guidelines of the Government of Karnataka, benefiting SC, ST, OBC, and PwD students with fee relaxations and quotas. These initiatives aim to support deserving students by reducing financial burdens and encouraging academic excellence.Thank you

The NMAM Institute of Technology is particularly renowned for its engineering programs, especially in disciplines like Computer Science and Engineering, Information Science and Engineering, and Electronics and Communication Engineering. These courses are popular due to the institute's strong emphasis on practical learning, experienced faculty, and good placement records in these fields.In addition to engineering, the institute also offers management programs, but its engineering courses tend to attract the most interest from students. The robust industry connections and internship opportunities further enhance the appeal of these programs.

NMAM Institute of Technology offers Degree courses including 10 UG and 13 PG courses. These programs are offerred in Full Time mode. NMAM Institute of Technology has specializations such as M.E./M.Tech specializations in Computer Science Engineering, Biotechnology Engineering, Electronics & Communication Engineering, Power Engineering, Construction Engineering, VLSI Design, Structural Engineering, Energy Engineering, B.Tech specializations in Mechanical Engineering, Electrical Engineering, Information Technology, Electronics & Communication Engineering, Biotechnology Engineering, Computer Science Engineering, Civil Engineering, Artificial Intelligence & Machine Learning, Robotics Engineering.