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MCA for Working Professionals

MCA for Working Professionals

Sharda School of Computing Science & Engineering (SSCSE)

  • Programme Code

    SET0105

  • Level

    Post Graduate

  • Duration

    2 Years

About the Programme

This program is designed for IT professionals seeking to advance their careers while continuing to work. It offers a flexible, industry-aligned curriculum covering advanced computing, software development, and system design. Students can choose minor specializations in Full Stack Development, Artificial Intelligence & Machine Learning, or Cloud & IoT, gaining hands-on expertise in emerging technologies. The program emphasizes practical application, enabling graduates to upskill and take on leadership roles in tech-driven environments.

Course Fee
For National Students
1st Year 195000 2nd Year 200850
For International Students
Fee Per Semester Fee Per Year
NA 5000*
Programme Structure
S. No. Course Code Paper ID Course Teaching Load Credits Type of Course
1. CC
2. DSE
3. OE
4. SEC
5. AECC
L T P 6. VAC-I
THEORY SUBJECTS  
1 MCWP1101   Database Management Systems 3 0 0 3 CC
2 MCWP1102   Programming in Python 0 1 4 3 CC
3 MCWP1103   Software Engineering  3 0 0 3 CC
4 MCWP1104   Operating System 3 0 0 3 CC
Practical/Viva-Voce/Jury  
5 MCWP1501   Database Management Systems Lab 0 0 2 1 CC
6 MCWP1502   Software Engineering Lab 0 0 2 1 CC
TOTAL CREDITS           14  
S. No. Course Code Paper ID Course Teaching Load Credits Type of Course
1. CC
2. DSE
3. OE
4. SEC
5. AECC
L T P 6. VAC-I
THEORY SUBJECTS  
1 MCWP1105   Data Structure and Algorithms 0 1 4 3 CC
2 MCWP1106   Object-Oriented Programming with Java 0 1 4 3 CC
3 MCWP1107   Artificial Intelligence 3 0 0 3 CC
4 MCWP1401   Agile Methodologies and DevOps Basics 3 0 0 3 SEC
Practical/Viva-Voce/Jury  
5 MCWP1503   Artificial Intelligence Lab 0 0 2 1 CC
6 MCWP1504   Agile Methodologies and DevOps Basics Lab 0 0 2 1 SEC
TOTAL CREDITS           15  
S. No. Course Code Paper ID Course Teaching Load Credits Pre-Requisite/Co Requisite Type of Course
1. CC
2. DSE
3. OE
L T P 4. SEC
5. AEC
6. VAC-I
THEORY SUBJECTS  
1 MCWP2101   Design and Analysis of Algorithms 3 0 0 3   CC
2 MCWP2102   Advanced Java 3 0 0 3   CC
3 MCWP2401   Cyber Secuirity & Cryptography 3 0 0 3   ACE
4     Research Methodology 1 0 0 1   Research
5     Program Elective-I 3 0 0 3   POE-I
Practical/Viva-Voce/Jury  
6 MCWP2501   Advanced Java Lab 0 0 2 1   CC
7 MCWP2502   Design and Analysis of Algorithms Lab 0 0 2 1   CC
8     Program Elective-I Lab 0 0 2 1   POE-I
TOTAL CREDITS           16    
S. No. Course Code Paper ID Course Teaching Load Credits Pre-Requisite/Co Requisite Type of Course
1. CC
2. DSE
3. OE
L T P 4. SEC
5. AEC
6. VAC-I
THEORY SUBJECTS  
1 MCWP2103   Statistical Analysis for Data Science 3 0 0 3   CC
2 MCWP2402   Data Warehousing and Data Mining 3 0 0 3   SEC
3     Program Elective-II 3 0 0 3   POE-II
4     Program Elective-III 3 0 0 3   POE-III
Practical/Viva-Voce/Jury  
4 MCWP2601   Minor Project I – Real-World Application Development 0 0 2 1   Project
5     Program Elective-II Lab 0 0 2 1   POE-II
5     Program Elective-III Lab 0 0 2 1   POE-III
6     Research Based Learning-1 0 0 2 0   Audit Course
TOTAL CREDITS           16    
S. No. Course Code Paper ID Course Teaching Load Credits Pre-Requisite/Co Requisite Type of Course
1. CC
2. DSE
3. OE
L T P 4. SEC
5. AEC
6. VAC-I
THEORY SUBJECTS  
1 MCWP3101   Big Data Analytics 3 0 0 3   CC
2 MCWP3401   Business Intelligence 3 0 0 3   SEC
3     Program Elective-IV 3 0 0 3   POE-IV
Practical/Viva-Voce/Jury  
4 MCWP3601   Minor Project II – Data Driven Solution 0 0 2 1   Project
5     Program Elective-IV 0 0 2 1   POE-IV
6     Research Based Learning-1I 0 0 2 1   Research
TOTAL CREDITS           12    
S. No. Course Code Paper ID Course Teaching Load Credits Type of Course
1. CC
2. DSE
3. OE
4. SEC
5. AECC
L T P 6. VAC-I
THEORY SUBJECTS  
1 MCWP3602   Major Project 0 0 16 8 Project

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