Dr. Mamta Rani (MCA Ph. D. - Computer Science), Head, department of Computer Applications has teaching experience of more than 8 years. She has presented 13 research papers, published in UK, Korea, Saudi Arabia and India. She has received first prize for best paper presentation in a national conference. She has presented research papers in a number of international and national journals and presently guiding 2 research scholars. As its name implies, this Department emphasizes deployment of computer technology in producing computer applications. The Department offers Masters in Computer Applications and Doctoral programmes.

Doctoral programmes are centered around computer graphics and experimental approaches to the design of fractals. Applications have been developed for the design of patterns in carpet and textile industry. Applications have also been developed in discrete dynamical systems. Currently the department is investigating Fractal Theory in improving performance of Fractal Antennas and for noise mitigation in communication systems.

The Department also works in Computer Networking and Wireless Communication with the objective to improve the Quality of Service (QoS) by reducing congestion in high-speed communication. Currently work is in progress in developing new techniques for fast communication after a disaster has occurred .The department has produced five research papers in the last two years: three in international journals and two in national journals. To keep itself abreast of latest developments in computer applications, the Department makes extensive efforts to develop partnerships with industry. We have partnered with IBM to offer an intensive training programme for teachers on 'IT Infrastructure Management' and DB2. We also have collaboration with Infosys under their Infosys Connect Program to offer intensive training for our students.

The Teaching Learning Process at the MCA level uses the latest electronic teaching aids and is characterized by a tight coupling between lectures, tutorial and laboratory work. The former contributes to interactive classroom learning where the student is able to discuss with the teacher and peer students. The latter enables planned learning and optimization of student teacher time to maximize learning.