Intake Capacity

ADMISSION TO M.C.A: 

Duration 2 years / 4 semesters
Intake Capacity 33
Self-Financing Seats 10

Eligibility Criteria:

A candidate seeking admission to MCA programme must have passed/appeared in the final year of BCA/B.Sc.(Computer Science) or any stream/discipline having passed Mathematics as one of the subjects at 10+2 level with at least 50% of the aggregate marks (45% for the candidates belonging to Scheduled Castes and Scheduled Tribes)

However, Candidates who has not studied computer science subjects at UG level and/or has not passed mathematics paper at 10+2 level, is also eligible to apply. Such candidates need to enroll and compulsorily pass the bridge course-PSCATB100 of four credits in addition to the passing regular semester 1 courses given in the syllabus during semester-1, in order to get eligible for admission to Semester-III of MCA-2 years programme. This course will be of qualifying nature only, needs to be completed and passed in first year of MCA to become eligible for subsequent Semester-III, and will not be included in the total credits earned by the student against MCA final degree. The bridge course exam will be conducted twice a year. 

ADMISSION TO M.Tech:

Duration 2 years / 4 semesters
Intake Capacity 20
Self-Financing Seats 5

Eligibility Criteria:

  • The candidates applying for admission to M. Tech. (Computer Science) programme must be either

i) B.E/B.Tech (Computer Science/IT/Electrical Engineering/ECE) with 60% of the marks or equivalent CGPA.
ii) MCA/M.Sc (Computer Science/IT/Electronics/Mathematics/Statistics/Physics) with60% of the marks or equivalent CGPA.

  • With 5% relaxation to candidates belonging to category Schedule Caste (SC) and Schedule Tribe (ST) 
Name Designation Qualification Specialization Contact Info.
Prof. Vibhakar Mansotra Professor & Head M. Sc., M. Phil., PGDCA, M. Tech. (IIT, Delhi), Ph. D. (Computer Science) Discrete Mathematics, Optimization Techniques, Computer Graphics, Data Mining, Information Retrieval, Numerical and Statistical Methods, Software Quality E-mail: vibhakar20@yahoo.co.inEPABX: Mobile No.: 9419140341
Prof. Vinod Sharma Professor B. Sc., MCA, Ph.D. (Computer Science) Database Data Mining Artificial Intelligence. E-mail: EPABX: Mobile No.: 9797301111
Prof. Lalitsen Sharma Professor MCA, M. Sc. (Math), B. Sc, Ph. D. (Computer Science) Data Structures Theory of Computation Computer Networks Network Security Web Technologies E-mail: EPABX: Mobile No.: 9419212320
Prof. Pawanesh Kumar Abrol Professor Ph.D. (Computer Science), MBA (HR) Digital electronics VLSI & Embedded Systems Object Oriented programming Compiler Designing Visualization Techniques Digital Image Tempering Human Computer Interaction. E-mail: EPABX: Mobile No.: 9419122511
Sh. Jasbir Singh Sr. Assistant Professor MCA, NET-JRF, SLET Programming Languages Algorithms Design and Analysis .Net Technologies Theory of Computation Information Security E-mail: jasbirsingh_cs@jammuuniversity.ac.inEPABX: Mobile No.: 9419115626
Dr. Shubhnandan Jamwal Associate Professor Ph.D. (Computer Science), MCA, SET, DCOM Programming Languages Web Technologies Natural Language Processing Machine Learning E-mail: shubhnandan.jamwal@jammuuniversity.ac.inEPABX: Mobile No.: 9419160600
Dr. Namrata Karlupia Lecturer M.Tech.(CS), Ph.D.(CS), NET Image Processing, Nature Inspired Optimization Techniques, Deep Learning E-mail: namrata.karlupia@jammuuniversity.ac.inEPABX: Mobile No.: 9419769527
Dr. Akshma Chadha Lecturer MCA, Ph.D.(CSE), NET, SET, GATE Artificial Intelligence, Machine Learning, Deep Learning, Sentimental Analysis, NLP E-mail: akshma2013@gmail.comEPABX: Mobile No.: 9149760079
Dr. Malvika Ashok Lecturer M.Tech., Ph.D (CSE), NET, JRF Image Processing, Medical Image Segmentation, Deep Learning, Wireless Sensors N/Ws E-mail: malvika.ashok1@gmail.comEPABX: Mobile No.: 8803378227