1. Doctor of Philosophy in Computer Science (Ph.D.).

Thrust Areas 

  • Data Mining and Warehousing.
  • Information Retrieval.
  • Natural Language Processing and Machine Translation.
  • Software Engineering.
  • Visualization Techniques, Textural Synthesis, Texture Graphics.
  • Soft Computing.
  • Computer Simulation and Modelling.
  • Computer Networks and Application Security.
  • E-Governance 

2. PGFMT002 Master of Technology programme in Computer Science- M.Tech. (Computer Science).

The Department is also running Two years (Four Semester) M.Tech. Programme in Computer Science from the session 2014-15. This programme has been revised under the Choice Based Credit System of UGC guidelines and also as per the Suggestions made by the experts following the Course Curriculum Reforms of RUSA 2.0 during the course curriculum workshop held in 2019. This program has the intake capacity of 20 students. In addition, there are 5 self-supporting seats. The admission to this course is strictly based on the valid score obtained in GATE or through written entrance test conducted by the Department.

[However, M.Tech. (CS) programme is not covered under JUET. The Admission to M.Tech. (CS) is notified separately by the department.]



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)


3. PGFMC001 Master of Computer Applications (MCA).



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. 


Semester I 

PSCSATC 121 Principles of Operating System
PSCSATC 122 Computer Architecture & VLSI Design
PSCSATC 123 Database Management System
PSCSATC 124 Discrete Mathematics
PSCSATL 180 Practical (based on above courses using C++, Unix, SQL and VHDL

Bridge Course

PSCSATB 100 Programming in C and Fundamentals of Mathematics

Semester II 

PSCSATC 221 Data Structures
PSCSATC 222 Computer Networks
PSCSATC 223 Object Oriented Programming in Java
PSCSATC 224 Algorithm Design & Analysis







(Any one of the following)


Artificial Intelligence

Cyber Security

Data Mining & Warehousing

Cloud Computing and Internet of Things

PSCSALC 280 Practical (Based on all the above courses)

Semester III 

PSCSATC 321 Theory of Computation and Compiler Design
PSCSATC 322 Web Technologies
PSCSATC 323 Machine Learning using Python
PSCSATC 324 Big Data Analytics Using R









(Any one of the following)


Computer Graphics

Image Processing and Computer Vision

Mobile Computing

Numerical & Statistical Computing

Software Engineering

Fuzzy Logic

  Open Course-I ***
PSCSALC 380 Practical (Based on all the above courses)

*** All the students must mandatorily complete on or before completion of 3rd semester, one PG MOOC course of four credits from SWAYAM UGC portal as per the existing guidelines and requirements of University of Jammu regarding SWAYAM Course.

Semester IV 

PSCSATC 480 Project
  Open Course-II ****

**** All the Students must enroll and successfully complete one open course of four credits offered by various departments of the University of Jammu. This list of open courses is notified from time-to-time by the office of Dean Academic Affairs(DAA).

Open Course

The following open course is offered by the Department for students of other Departments of Faculty of Science/Mathematical Sciences. 

Course Code Course Title Semester
PSCATO 452 Problem Solving & Programming in C 4th


Name Designation Qualification Specialization Contact Info.
Prof. Pawanesh Kumar Abrol Professor & Head 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
Prof. Vibhakar Mansotra Professor 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: Mobile No.: 9419140341
Prof. Vinod Sharma Professor B. Sc., MCA, Ph.D. (Computer Science) Database Data Mining Artificial Intelligence. E-mail: EPABX: Mobile No.:
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.:
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: EPABX: Mobile No.:
Dr. Shubhnandan Jamwal Sr. Assistant Professor Ph.D. (Computer Science), MCA, SET, DCOM Programming Languages Web Technologies Natural Language Processing Machine Learning E-mail: EPABX: Mobile No.: