Post Graduate Programmes

M.Sc. Computer Science

Eligibility Conditions (Graduates from recognized University)


  • B.Tech/AMIE/B.E (Electrical and Electronics) / B.E in Electronics / IT / IS/ CS / Electronics and Communication / Telecommunication / Medical Electronics / Mechatronics, OR
  • B.Sc (Electronics / Computer Science / Electrical / Medical Technology / Multimedia / Telecommunication / IT / Information Science) / BCA, OR
  • B.Sc with one year / 2 Semesters PG Diploma in Computer Science / Computer Application / Add-on Course in Computer Science equivalent to six papers in Computer Science, or B.Sc. with Mathematics.

Duration: 2 Years

Scheme: Semester ( CBCS)

Credits: 81

Course Matrix

Sem

Course Code

Course Title

Credits

Counseling/PCP Hours

Max. Marks

Min. Passing Marks

Duration of Exam

Internal Assessment

Term end exam

Total Marks

Internal Assessment

Term end exam

I

MCSDSC-1.1

Advanced Data Structures with Algorithms

4

12

20

80

100

08

32

3

MCSDSC-1.2

OOPs with Java

4

12

20

80

100

08

32

3

MCSDSC-1.3

Data Structure & Algorithms Lab

2

60

10

40

50

04

16

3

MCSDSC-1.4

OOPs with Java Lab

2

60

10

40

50

04

16

3

MCSDSE-1.5

Computer Architecture

3

09

20

80

100

08

32

3

MCSDSE-1.6

Advanced C programming

MCSDSE-1.7

Computer Graphics

3

09

20

80

100

08

32

3

MCSDSE-1.8

Operating System

ELMCS-01

Interdisciplinary Elective -1

2

06

10

40

50

04

16

11/2

Total

20

168

110

440

550

44

176

-

Sem

Course Code

Course Title

Credits

Counseling/PCP Hours

Max. Marks

Min. Passing Marks

Duration of Exam

Internal Assessment

Term end exam

Total Marks

Internal Assessment

Term end exam

II

MCSDSC-2.1

Linear Algebra & Statistics

4

12

20

80

100

08

32

3

MCSDSC-2.2

Relational Database Management System

4

12

20

80

100

08

32

3

MCSDSC-2.3

Statistics Lab

2

60

10

40

50

04

16

3

MCSDSC-2.4

RDBMS Lab

2

60

10

40

50

04

16

3

MCSDSE-2.5

Web Programming

3

09

20

80

100

08

32

3

MCSDSE-2.6

Object Oriented Analysis and Design Using UML

MCSDSE-2.7

Computer Networks

3

09

20

80

100

08

32

3

MCSDSE-2.8

Ad hoc Networks

ELMCS-02

Interdisciplinary Elective -2

2

06

10

40

50

04

16

11/2

Total

20

168

110

440

550

44

176

-

Sem

Course Code

Course Title

Credits

Counseling/PCP Hours

Max. Marks

Min. Passing Marks

Duration of Exam

Internal Assessment

Term end exam

Total Marks

Internal Assessment

Term end exam

III

MCSDSC-3.1

Data Science with Python

4

12

20

80

100

08

32

3

MCSDSC-3.2

Machine Learning

4

12

20

80

100

08

32

3

MCSDSC-3.3

Python Programming Lab

2

60

10

40

50

04

16

3

MCSDSC-3.4

Machine Learning Lab

2

60

10

40

50

04

16

3

MCSDSE-3.5

Business Analytics

3

09

20

80

100

08

32

3

MCSDSE-3.6

Software Engineering

MCSDSE-3.7

Cryptography & Network Security

3

09

20

80

100

08

32

3

MCSDSE-3.8

Cloud Computing

MCSSEC-1

Big-Data Analytics-1

2

06

10

40

50

04

16

11/2

Total

20

168

110

440

550

44

176

-

Sem

Course Code

Course Title

Credits

Counseling/PCP Hours

Max. Marks

Min. Passing Marks

Duration of Exam

Internal Assessment

Term end exam

Total Marks

Internal Assessment

Term end exam

IV

MCSDSC-4.1

Artificial Intelligence

4

12

20

80

100

08

32

3

MCSDSC-4.2

Introduction to IOT

4

12

20

80

100

08

32

3

MCSDSE-4.3

Dissertation/Project work

8

240

30

120

150

12

48

3

MCSDSE-4.4

Introduction to Block Chain

3

09

20

80

100

08

32

3

MCSDSE-4.5

Nature Inspired Computing Methods

MCSSEC-2

Big-Data Analytics-2

2

06

10

40

50

04

16

11/2

Total

21

279

100

400

500

40

160

-

KARNATAKA STATE OPEN UNIVERSITY, MYSURU

Courses of KSOU are recognised by University Grants Commision (UGC) New-Delhi vide order No: F.No 4-1/2023 (DEB-III) Dated : 16th June 2023 for the period from 2023-24 to 2027-28

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