Eligibility Criteria for admission
For Admission The eligibility for admission to M.Sc. Computer Science programme in affiliated institutions under Mahatma Gandhi University is a B.Sc. Degree with Mathematics /Computer Science /Electronics as one of the subjects (Main or Subsidiary) ORBCA/B.Tech degree with not less than 55% marks in optional subjects. Note: Candidates having degree in Computer Science/Computer Application/IT/Electronics shall be given a weight-age of 20% in their qualifying degree examination marks considered for ranking for admission to M.Sc.(Computer Science).
ADD-ON COURSES
SL NO. |
NAME |
CLASS |
1 |
CERTIFICATE COURSE IN SOFT SKILLS DEVELOPMENT |
FIRST SEMESTER |
2 |
CERTIFICATE COURSE IN SOFTWARE TESTING |
SECOND SEMESTER |
3 |
CERTIFICATE COURSE IN ANY PYTHON FRAMEWORK |
THIRD SEMESTER |
SEMESTER -1 |
||||
|
CODE |
COURSES |
HOURS PER WEEK |
CREDIT |
Core Course -1 |
CA500101 |
Computational Mathematics |
4 Hours |
4 |
Core Course -2 |
CA010101 |
Advanced web Technology |
4 Hours |
4 |
Core Course -3 |
CA010102 |
Operating Systems |
4 Hours |
4 |
Core Course-4 |
CA500102 |
Advanced Java Programming |
3 Hours |
3 |
Core Course-5 |
CA010103 |
Lab I [ Java& PHP] |
10 Hours |
4 |
SEMESTER -2 | ||||
CODE | COURSES | HOURS PER WEEK | CREDIT | |
Core Course | CA500201 | Advanced Data Structures | 4 Hours | 4 |
Core Course | CA010201 | Computer Networks | 4 Hours | 4 |
Core Course | CA010202 | Research Methodology and Technical Writing | 3 Hours | 3 |
Core Course | CA500202 | Database Management system and SQL | 4 Hours | 4 |
Core Course | CA010203 | Lab II [ DS using Java, SQL] | 10 Hours | 4 |
SEMESTER -3 |
||||
|
CODE |
COURSES |
HOURS PER WEEK |
CREDIT |
Core Course |
CA010301 |
Digital Image Processing |
4 Hours |
4 |
Elective I |
|
|
4 Hours |
4 |
Core Course |
CA010302 |
Python Programming |
4 Hours |
4 |
Core Course |
CA500301 |
Software Engineering |
4 Hours |
4 |
Core Course |
CA010303 |
Lab III [ DIP using Python] |
5 Hours |
2 |
Core Course |
CA010304 |
Mini Project using IOT |
4 Hours |
3 |
SEMESTER -4 |
||||
|
CODE |
COURSES |
HOURS PER WEEK |
CREDIT |
Core Course |
CA010401 |
Data Mining |
5 Hours |
4 |
Elective II |
|
|
5 Hours |
4 |
Elective III |
|
|
5 Hours |
4 |
Core Course |
CA010402 |
Main Project |
10 Hours |
8 |
Core Course |
CA010403 |
Course Viva |
|
2 |
Elective Group A |
|||
CODE |
COURSES |
HOURS PER WEEK |
CREDIT |
CA800301 |
Introduction to Cyber Security |
4 Hours |
4 |
CA800402 |
Applied Cryptography |
4 Hours |
4 |
CA800403 |
Ethical Hacking |
4 Hours |
4 |
Elective Group B |
|||
CODE |
COURSES |
HOURS PER WEEK |
CREDIT |
CA810301 |
Statistical Computing for Data Analytics |
5 Hours |
4 |
CA810402 |
Big Data Management Using R |
5 Hours |
4 |
CA810403 |
Data Analytics |
5 Hours |
4 |
Elective Group C |
|||
CODE |
COURSES |
HOURS PER WEEK |
CREDIT |
CA820301 |
Soft Computing |
5 Hours |
4 |
CA820402 |
Advanced Python Programming |
5 Hours |
4 |
CA820403 |
Pattern Recognition |
5 Hours |
4 |