The Department of Computer Science & IT was established in 2017 by the University of Kashmir in 2020, after the bifurcation of erstwhile J&K state the University of Ladakh took over the Department.  The University has established three Labs for the Department of Computer Science & IT. All labs are equipped with good configuration machines, connected with high-speed campus network for the internet.  In order to facilitate the researchers and students, the University has established a Lab (DSAIL) exclusively dedicated to Data Science & AI Research. This lab is equipped with high-end computing workstations powered by NVIDIA GeForce GPU. 

Academic Program, Masters in Computer Applications (MCA):

Currently, the Department of Computer Science & IT, is offering a two-year Master Program in Computer Applications i.e. Masters in Computer Applications (MCA).  

Masters in Computer Applications (MCA) is full time, 4 semesters, resident programme. MCA degree is awarded to students who attend and pass 15 theory and 6 laboratory courses and undertake major project work in public or private sector institutions to acquire real-life practical training which helps them in finding proper placement. The course offers choice to students for selection of Elective courses in 3 Semesters. The Programme’s thrust is on giving the students a thorough and sound background in theoretical and skill-oriented courses relevant to the latest computer software development. The programme emphasizes on the application of software technology to solve mathematical, computing, communications/networking and commercial problems. 

The Course is designed to prepare the next generation of graduates who will join industry, government, academia, research, entrepreneurial pursuit and consulting firms as successful IT professionals. The learners of this course shall achieve peer recognition; as an individual or in a team; through the demonstration of good analytical, design and implementation skills.

The course curriculum not only aims to enhance the technical horizon of the learner, also intends to produce trained graduates who will contribute to the society as broadly educated, expressive, ethical and responsible citizens with proven expertise. These trained students will thrive to pursue life-long learning to fulfil their goals.

The Basic eligibility for MCA program is as:

"Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree. Or Passed B.Sc./B.Com./B.A. with Mathematics at 10+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University). Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination”

Research program, Ph.D. computer Science & IT:

At present, the Department is offering Ph.D. in Computer Science & IT. The Department has expertise in the field of Artificial Intelligence, Machine Learning, Medical Image Analysis, Artificial Neural Networks, Deep Learning, Pattern Recognition. The doctorate program in Computer science and IT intends to train researchers to be the subject experts of tomorrow by providing in-depth ideas and understanding regarding the research domain through independent and collaborative research ventures. The research program aspires to train young researchers to become innovative researchers/teachers while having a great sense of professional and ethical responsibilities. The Ph.D. program encourages researchers to produce publications in national and international journals/conferences, seminars, patents etc.

The Basic Eligibility for Ph.D. Computer Science & IT is as:

Master’s Degree in Computer Science or Mathematics or Statistics or Operational Research or in any branch of Science or Master of Computer Application (MCA) with 55% marks or equivalent Grade ‘B’ in UGC 7- point scale (or an equivalent Grade in a point scale wherever Grading system is followed). OR Master’s Degree in Electronics or Electrical & Electronics Engineering or Electronics & Communication Engineering or related areas with 55% marks or equivalent Grade ‘B’ in UGC 7- point scale (or an equivalent Grade in a point scale wherever the Grading system is followed). Or Obtained two years M.Phil. degree with at least 55% marks of a recognized University/Institution (with Dissertation/Seminar/Viva), and with 55% marks or equivalent Master’s degree; OR One-year M.Phil. with 55% marks with additional one-year research experience of a recognized University/Institute, and one publication and with 55% marks or equivalent in Master’s degree; Relaxation to SC/ST/OBC (Non creamy layer)/PWD as per the UGC Regulations

Certificate Course, six Months Certificate Course in Data Science & AI

The Department is offering a 6-month certificate course in Data Science & AI in collaboration with OMDENA. The course intends to equip the next generation of the nation with the skills of industry 4.0. Expert faculty members, data scientists, AI engineers of the Department and OMDENA are teaching the Course

Dr. Mehboob Ali (Ph.D. Computer Science with specialization in Artificial Intelligence / Machine Learning) is currently heading the Department

• ICT-enabled teaching is practiced by the teachers.
• To develop the self-confidence and presentation skills of the students, presentations are an important part of internal assessment besides assignments and tests.
• The students are given exposure to latest softwares and hardware tools.
• Frequent sessions/workshops/guest lectuers are conduceted  for councelling regarding competitive examinations.
• Regular Feedback mechanism to improve the teaching-learning process.
• To meet the growing demands of industries and to develop research attitude in students, students are continuously motivated for research during all semesters.
• All the labs are powered through 100KWP solar power plant.
• The classrooms, administrative offices, and laboratories of the department are airy and well illuminated for the maximum use of natural lighting during the daytime.
• The students are encouraged to self-learning by providing proper guidance and counseling.