Examinations Admissions Equivalence of Degree

Affiliation E-learning

M.sc.(computer Science)

Programme M.sc.(computer Science)

The school of Sciences & Emerging Technologies of Jagat Guru Nanak Dev Punjab State Open University, Patiala has planned to start Master of Science (Computer Science) from the session 2023-24. The university has adopted choice-based credit system that has been introduced by University Grant Commission (UGC). This is a broad-based programme covering disciplinary, interdisciplinary and skill-based courses. The Master of Science (Computer Science) has 72 credits consisting of 4 categories namely Core Courses, Discipline Specific Courses, Ability Enhancement Course and Skill Enhancement Courses. This 2-Years Programme has 4 semesters. In 1st , 2nd and 3rd semesters, each semester consists of 4 theory courses and 2 practical courses. 4th Semester consists of major project and seminar courses.


BA/B.Sc./B. Com with Computer Science or Computer Applications or Mathematics or Statistics or Operation Research or Economics as one of the courses; B.Sc.(Hons.) in Computer Science or B.Sc.(Hons.) Information Technology or B.Sc. Information Technology or B.Sc. (Data Sciences) or BIS/BSIS; or BCA/BBA/B.Sc. (Information Technology); or

P.G. Diploma in Computer Applications/P.G. Diploma in Computer Science; or Bachelor of Vocation (Networking and Mobile Applications) or Bachelor of Vocation (Software Development); or B. Tech. / B. E. (Computer Science/ Engineering) or any other examination recognized as equivalent. 

Bridge Course: Learners who have not taught Computer Science or Computer Applications or Mathematics or Statistics or Operation Research or Economics as one of the courses in the graduation level,they may be admitted in MSc (Computer Science) Programme, but they must be passed a Bridge Course (Non-Credit Qualifying Course) in the 1st year of the Programme.


 

Total Credits: 72 Min-Duration : 2 Years | Max-Duration : 4 Years
Sr. No. Name of the Course Course Code Credit SM Syllabus
Semester 1
1 DBMS Lab MSCS-1-02P 2 - View
2 Probability & Statistical Analysis MSCS-1-03T 4 - View
3 Fundamentals of Digital Marketing MSCS-1-04T 4 - View
4 Computer Programming MSCS-1-01T 4 - View
5 Computer Programming Lab MSCS-1-01P 2 - View
6 DBMS MSCS-1-02T 4 - View
Semester 2
1 Operating Systems MSCS-2-01T 4 - View
2 Operating Systems Lab MSCS-2-01P 2 - View
3 Data Structure & Algorithms MSCS-2-02T 4 - View
4 Data Structure & Algorithms Lab MSCS-2-02P 2 - View
5 Introduction to Cyber Security MSCS-2-03T 4 - View
6 Software Engineering MSCS-2-04T 4 - View
Semester 3
1 Web Programming MSCS-3-01T 4 - View
2 Web Programming Lab MSCS-3-01P 2 - View
3 Data Mining & Visualization MSCS-3-02T 4 - View
4 Data Mining & Visualization Lab MSCS-3-02P 4 - View
5 Computer Networks MSCS-3-03T 4 - View
6 Introduction to Data Science MSCS-3-04T 4 - View
Semester 4
1 Major Project MSCS-4-03P 10 - View
2 Seminar MSCS-4-04 2 - View
3 Machine Learning MSCS-4-01T 4 - View
4 Research Methodology and IPR MSCS-4-02T 4 - View

The learners’ progress is measured through the means of continuous evaluation and end semester examinations.
Continuous Internal assessment through assignments
Assignments help the learners to recapitulate the theory and go back to the text again in case  they are unable to answer a particular question. Thus, assignments also help to reinforce learning in distance and open learning system of education. The assignments will consist of a set of questions and activities that have to be answered by the programme participants by remaining at their own place. Four assignments will be submitted for a 4 credits course and two assignments will be submitted by the learner for a 2 credits course. The assignments will cover all or any types of questions (long answer type, short answer type, objective type, multiple choice questions and case studies). Learners will be required to obtain 40% marks as pass percentage in each assignment separately. Each assignment will carry 50 marks. In the final result, assignments will carry 30% weightage.
Semester End Examination
Semester end examination is the major component of the evaluation system and carries 70% weightage in the final result. The university will conduct end semester examination twice a year i.e., in June and in December. The learners can take the examination only after the completion of the course, failing which they can take the same in December or June of subsequent years but within the total span of the programme. In case any student fails to get a passing score in the semester end examination, they will be eligible to reappear in the next semester end examination for that course as and when it is held but within the total span of the programme only. within the total span of the programme only.
In order to claim Master’s Degree in Science (Computer Science), the learner is required to score at least 40% marks in both continuous evaluations (i.e.in assignments) as well as in semester end examinations separately.

Atleast 35% marks in both continuous evaluations as well as in semester end examinations separately.

Overall, at least 40% marks in each course.

Successfully completing second year of M.Sc (Computer Science) Programme and earning 72 credits of Programme, Student will be awarded degree  of M.Sc (Computer Science).

Updates