Masters of Science in Computer Science

Objectives:

The main objective of M.Sc. Computer Science is to enhance the skills of computer science enthusiasts in the various thrust areas of the field and provide them with the perfect amalgamation of theory as well as practical knowledge.

Programme Outcomes (PO):

PO1: Able to demonstrate a broad knowledge of Computer Science which includes File Structures, Computer Programming Skills, Computing Skills, Algorithm Design, Theory of Computation, Data Mining, Artificial Intelligence, Information Security

PO2: Demonstrate the ability to recognize, design and implement efficient software solutions to problems, communicate effectively and to work as a team

PO3: Demonstrate the ability to conduct a research or applied Computer Science projects, requiring writing and presentation skills which exemplify their skills in Computer Science

PO4: Write programs utilizing modern software tools, apply programming principles effectively and write procedural code to solve complex problems

PO5: Able to learn and adapt to new technologies and use it effectively for analyzing complex real-world problems and devise computer-based solutions

PO6: Retrieve, use and evaluate relevant professional information, apply research methods, techniques, and problem-solving approaches in the specialization areas

1. GENERAL STRUCTURE

M.Sc. Computer Science is a 2-year program catering to the needs of people interested in the field of computers. The duration of the course is two academic years consisting of four semesters. The first two semesters have four core courses of which three courses are coupled with lab modules and two allied courses. Community Development Programme is mandatory in the second semester to enable the students to be aware of socio-economic impacts. The third semester opens avenues for specialization by offering four elective courses of which three courses are associated with lab modules, one allied course and one open elective. This open elective course encourages students to interact with other disciplines.  The fourth semester offers three elective courses and a project.

1. PROGRAM REQUIREMENTS

Semester 1:

Four core courses of which three courses are coupled with lab modules PLUS two allied courses.

Semester 2:

Four core courses of which three courses are coupled with lab modules PLUS two allied courses. Community Development Programme is mandatory.

Data Science specific courses are offered in Semester 3 and Semester 4

Semester 3:

Four elective courses of which three courses are associated with lab modules PLUS one allied course, one open elective and an Internship.

Semester 4:

Three elective courses and one major project

Credits:

Each Core or Elective Course – 5 credits each,

Allied Course, Open Elective, Internship – 2 credits each

Elective paper with only theory component – 4 credits

Project – 8 credits.

1. TESTING AND EVALUATION

The performance of the student will be assessed throughout the semester. Evaluations will be based on End Semester Examinations and Continuous Internal Assessment (CIA).

I Evaluation Procedure for core/ elective courses with practicals/ tutorials :

• Continuous Internal Assessment for theory (CIA) :  30 Marks

• End Semester Examination for theory (ESE):  70 Marks
• Continuous Internal Assessment for Practical’s/ Tutorials (CIA):  15 Marks

• End Semester Examination for Practical’s/ Tutorials (ESE):  35 Marks

• Students should secure a paper minimum of 40% each in end semester theory and in theory total (CIA + ESE), End Semester practical examination and in practical total (CIA + ESE) and an aggregate of 50%

II Evaluation Procedure for core/elective courses without practical’s / tutorials :

• Continuous Internal Assessment for theory (CIA):  30 Marks
• End Semester Examination for theory (ESE):  70 Marks

III Evaluation Procedure for Allied Courses:

• Continuous Internal Assessment for theory (CIA):  15 Marks
• End Semester Examination for theory (ESE):  35 Marks
• Students should secure a paper minimum of 40% each in end semester theory and in theory total (CIA + ESE).

                  IV Evaluation for Practical Examination

Practical Examination Question Paper Pattern for 50 marks

Part – A: Three questions from the lab list of the subject to be given by the examiner and two questions will be answered and executed by the students of their choice.

Part – B: The mini project done by the student has to be demonstrated. An add-on module has to be given.

Scheme of Evaluation: 

Practical Examination Question Paper Pattern for 35 marks

Part – A: Three Questions from the lab list of the subject to be given by the examiner and two questions will be answered and executed by the students of their choice.

Scheme of Evaluation: 

V Evaluation Procedure for Project:

IV Semester Project:

• Continuous Internal Assessment (CIA) :  50 Marks

• End Semester Examination (ESE):  150 Marks
• Students should secure a paper minimum of 40% in end semester examination and in total (CIA+ ESE).

Upon the successful completion of M.Sc. Computer Science program, one can find lucrative career opportunities in Software and Computer Hardware related industry. An M.Sc. Computer Science degree mostly helps in acquiring a job position in the IT sector. The IT and ITeS sector has been one of the top employment sectors in India in the past and continues to do so. Current trends show that the sector will increase to grow at a good rate annually. With an expansion in the sector, the employment opportunities are also expected to increase. This estimates a good career prospect for M.Sc. Computer Science graduate.

The college has an active placement cell which:

• Provides Campus Recruitment Training to hone their skills of both aptitude tests and interview
• Arranges prominent companies in the city to conduct interviews in the college

• Guest Lectures on various technical and non-technical topics are conducted every week to upgrade their Technical, Social and interpersonal skills

• Orientation Programme is conducted for freshers enumerating all the rules and regulations of the college and thus educating them about the Campus culture