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

1st Year 180000

2nd Year 185400

1st Sem 91500	3rd Sem 94200
2nd Sem 91500	4th Sem 94200

For International Students

Fee Per Semester	Fee Per Year
NA	NA

Programme Structure

Semester 1

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

Semester 2

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

Semester 3

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

Semester 4

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

Semester 5

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

Semester 6

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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For Employees

MCA for Working Professionals