B.E. / B.Tech

Yes, you are eligible to appear for the UGC NET exam for which you can apply by filling up a prescribed form. The University Grants Commission National Eligibility Test – UGC NET is a test which provides the qualifying criteria for Assistant Professor and also for awarding Junior Research Fellowship (JRF) in Indian university and college.   Here’s how your qualifications fit the eligibility criteria:Here’s how your qualifications fit the eligibility criteria:   Educational Qualification: As you known you have done a B.E. (Bachelor of Engineering) and a Master’s in Power System Engineering, so you fulfill the requirement to educational qualification. For UGC NET, applicant should possess at least a Master’s degree with minimum 55% marks (50% for reserved category) from any recognised University.   Specialization: The subjects offered under UGC NET are in congruence with Your field of specialization, Power System Engineering. For these you would be required to select the subject for which you are applying based on your academic experience. Power System Engineering comes under the umbrella of subjects known as Engineering subjects/ courses.   Age Limit: For those who are applying for the JRF (Junior Research Fellowship) there is also an age constraint. In general, candidates have to be under 30 years old to apply for JRF position, but certain exemptions are possible. The age of the candidate does not limit his or her eligibility to take the position of an Assistant Professor.

CMR Institute of Technology accepts COMEDK scores for admission to the BE/BTech courses. As per the Round 2 of the COMEDK cutoff 2024, the ranks ranged between 13498 and 19518 wherein Computer Science and Engineering was the most competitive specialisation. So yes, candidates with a cutoff rank up to 19447 can get admission at CMR Institute of Technology. To know what all BE/ BTech courses are available up to19447 rank at CMRIT refer to the table below: CourseCOMEDK Cutoff 2024B.E. in Computer Science and Engineering13498B.E. in Artificial Intelligence and Data Science19447B.E. in Computer Science and Engineering (Data Science)15437B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)14487