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
|
-
|