1. Admission
Admission is open to M.C.A. / B.C.A course under Srinivas University. Eligibility for admission to MCA: Pass in any Bachelor Degree of 3 or 4 years with Computer Science as a subject. For B.C.A, any candidates passed in 12 th Standard. Admission needs valid score in SUAT Entrance Test. Interested students are requested to contact the College office and submit their applications before last date.
2. Ph.D. Programme
Research and Innovation Council (RIC), Srinivas University has announced admission to Ph.D. programme (Full Time only) in various departments through Entrance Test followed by Interview. The Programme is governed by Ph.D. regulations of Srinivas University. Selected candidates who enrol for full-time Ph.D. programme may be entitled for a Research fellowship/Teaching assistantship after two years as per Srinivas University rules. The tentative number of seats (full time/sponsored) available in each discipline is mentioned below:
S. No. | Subject/Department | Number of vacancy |
1 | Business Management | 10 |
2 | Computer Applications | 3 |
3. | Social Science/Social Work | 2 |
4 | Physiotherapy | 5 |
5 | Civil Engineering | 10 |
6 | Mechanical Engineering | 10 |
7 | Physics | 05 |
8 | Chemistry | 08 |
9 | Nanotechnology | 05 |
Post-graduates in respective disciplines mentioned above with minimum 55 % marks are eligible to apply. Those awaiting final year results of PG Degree can appear as provisional candidates subject to confirmation of eligibility after selection. Interested candidates may submit application in the prescribed form available in the website along with an application fee of Rs. 1,000 (Rupees One thousand only) in the form of DD in favour of “The Registrar, Srinivas University”, payable at Mangalore. Last date for submission of application along with DD is July 25, 2017. Date of entrance test : August 4, 2017 (Friday) (10.30 AM to 12:30 AM) Date of interview (only for those who qualifies the entrance test) : August 05, 2017(Saturday) (10:00 AM onwards). The Entrance test will be objective type with two sections of equal weight (i) Research aptitude and (ii) Core subject at the respective P. G. level (UGC NET Pattern).