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Sharda School of Computing Science & Engineering (SSCSE)
SET0105
Post Graduate
2 Years
Sharda University’s MCA in Artificial Intelligence & Machine Learning prepares students for the future of tech. The programme combines core computer applications with advanced AI, data analytics, and deep learning. With hands-on training and industry-focused projects, students graduate ready to lead in AI development, data science, and intelligent automation.
Programme Educational Objectives (PEOs):
The Program Educational Objectives (PEOs) of PG Program in Computer Applications are:
Program Outcomes (PO’s):
 
 
| 1st Year 195000 | 2nd Year 200850 |
| Fee Per Semester | Fee Per Year |
|---|---|
| NA | 5000** |
|
S. No. |
Course Code |
Paper ID |
Course |
Teaching Load |
Credits |
Pre-requisites |
Type of Course |
||
|
1. CC |
|||||||||
|
2. DSE |
|||||||||
|
3. POE |
|||||||||
|
4. SEC |
|||||||||
|
5. Project |
|||||||||
|
L |
T |
P |
  | ||||||
|
THEORY SUBJECTS |
  |   | |||||||
|
1 |
MCCR1101 |
  |
Database Management System |
4 |
0 |
0 |
4 |
Fundamentals of computers |
CC |
|
2 |
MCCR1102 |
  |
C Programming and File Handling |
4 |
0 |
0 |
4 |
Fundamentals of computers |
CC |
|
3 |
MCAI1101 |
  |
Artificial Intelligence and Machine Learning |
4 |
0 |
0 |
4 |
Fundamentals of computers |
CC |
|
4 |
MCCR1104 |
  |
Computer Architecture and Organization |
3 |
0 |
0 |
3 |
Boolean Algebra |
CC |
|
5 |
MCCR1105 |
  |
Computing and Innovation |
2 |
0 |
0 |
2 |
Fundamentals of computers |
CC |
|
Practical/Viva-Voce/Jury |
  |   |   |   |   |   | |||
|
6 |
MCCR1501 |
  |
Database Management Systems Lab |
0 |
0 |
2 |
1 |
Fundamentals of computers |
CC |
|
7 |
MCCR1502 |
  |
C Programming and File Handling Lab |
0 |
0 |
2 |
1 |
Fundamentals of computers |
CC |
|
8 |
MCAI1501 |
  |
Artificial Intelligence and Machine Learning Lab |
0 |
0 |
2 |
1 |
Fundamentals of computers |
CC |
|
TOTAL CREDITS |
  |   |   |   |   |
20 |
  |   | |
|
S. No. |
Course Code |
Paper ID |
Course |
Teaching Load |
Credits |
Pre-requisites |
Type of Course |
||
|
1. CC |
|||||||||
|
2. DSE |
|||||||||
|
3. POE |
|||||||||
|
4. SEC |
|||||||||
|
5. Project |
|||||||||
|
L |
T |
P |
  | ||||||
|
THEORY SUBJECTS |
  |   | |||||||
|
1 |
MCCR1106 |
  |
Data Structure Using C |
3 |
1 |
0 |
4 |
C Programming |
CC |
|
2 |
MCCR1201 |
  |
Application Programming in Python |
4 |
0 |
0 |
4 |
C Programming |
DSE |
|
3 |
MCA11401 |
  |
Advanced Prompt Engineering |
3 |
0 |
0 |
3 |
Basics of Mathematics |
SEC |
|
4 |
POE-I |
3 |
0 |
0 |
3 |
  |
POE |
||
|
MCCR1001 |
  |
Big Data Analytics |
Basics of Computers |
||||||
|
MCAI1001 |
  |
Soft Computing |
Basics of Computers |
||||||
|
MCAI1002 |
  |
Cognitive Computing |
Basics of Computers |
||||||
|
Practical/Viva-Voce/Jury |
  |   | |||||||
|
5 |
MCCR1504 |
  |
Data Structure Using C Lab |
0 |
0 |
2 |
1 |
C Programming |
CC |
|
6 |
MCCR1505 |
  |
Application Programming in Python Lab |
0 |
0 |
2 |
1 |
C Programming |
DSE |
|
7 |
MCCR1601 |
  |
Project Minor |
0 |
0 |
0 |
4 |
Programing Methodology |
Project |
|
8 |
MCCR1801 |
  |
Community Connect |
0 |
0 |
0 |
2 |
  |
Audit |
|
TOTAL CREDITS |
  |   |   |   |   |
22 |
  |   | |
|
S. No. |
Course Code |
Paper ID |
Course |
Teaching Load |
Credits |
Pre-requisites |
Type of Course |
||
|
1. CC |
|||||||||
|
2. DSE |
|||||||||
|
3. POE |
|||||||||
|
L |
T |
P |
4. SEC |
||||||
|
5. Project |
|||||||||
|   | |||||||||
|
THEORY SUBJECTS |
  |   | |||||||
|
1 |
MCCR2101 |
  |
Design and Analysis of Algorithms |
3 |
1 |
0 |
4 |
Data Structures |
CC |
|
2 |
MCAI2101 |
  |
Prediction Using Machine Learning |
4 |
0 |
0 |
4 |
C Programming |
CC |
|
3 |
MCCR2103 |
  |
Software Engineering |
4 |
0 |
0 |
4 |
Computer Fundamental |
CC |
|
4 |
  |   |
Research Methodology + IPR |
0 |
0 |
2 |
1 |
Research Methodology |
RM+IPR |
|
Practical/Viva-Voce/Jury |
  |   | |||||||
|
5 |
MCAI2501 |
  |
Prediction using Machine Learning Lab |
0 |
0 |
2 |
1 |
C Programming |
CC |
|
6 |
MCCR2502 |
  |
Design and Analysis of Algorithms Lab |
0 |
0 |
2 |
1 |
Data Structures |
CC |
|
7 |
MCCR2503 |
  |
Software Engineering Lab |
0 |
0 |
2 |
1 |
Computer Fundamental |
CC |
|
8 |
MCCR2701 |
  |
Industry Connect |
0 |
0 |
0 |
0 |
  |
Project |
|
9 |
MCCR2601 |
  |
Dissertation (Research Based Learning) |
0 |
0 |
0 |
4 |
Google Scholar |
Project |
|
TOTAL CREDITS |
  |   |   |   |   |
20 |
  |   | |
|
S. No. |
Course Code |
Paper ID |
Course |
Teaching Load |
Credits |
Pre-requisites |
Type of Course |
||
|
1. CC |
|||||||||
|
2. DSE |
|||||||||
|
3. POE |
|||||||||
|
L |
T |
P |
4. SEC |
||||||
|
5. Project |
|||||||||
|   | |||||||||
|
THEORY SUBJECTS |
  |   | |||||||
|
1 |
MCCR2104 |
  |
Technical Skill Enhancement Course |
0 |
0 |
4 |
2 |
Computer Science Core Subjects |
CC |
|
2 |
POE-II |
0 |
0 |
4 |
2 |
  |
POE |
||
|
MCCR2504 |
  |
C with ASP.Net |
Computer Programming |
||||||
|
MCCR2505 |
  |
Introduction to PHP with MySQL |
Computer Programming |
||||||
|
MCCR2506 |
  |
Android Application Development |
Computer Programming |
||||||
|
3 |
MCCR2602 |
  |
Project |
0 |
0 |
0 |
14 |
Research and Project Methodology |
Project |
|
Practical/Viva-Voce/Jury |
  |   | |||||||
|
TOTAL CREDITS |
  |   |   |   |   |
18 |
  |   | |
| For National Students |
|
| For International Students | The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program. |