M.Sc Computer Science

DURATION:
2 years
SEATS AVAILABLE:
15
SEMESTERS:
4

FACULTY:

Nisha Mol P E
ASST. PROFESSOR
Alphonsa Arun
ASST. PROFESSOR
Resmi P R
ASST. PROFESSOR
Sarisha Satheesan
ASST. PROFESSOR
Sheema Rajan
ASST. PROFESSOR
Sreedhu S Anand
ASST. PROFESSOR

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