About the Programme

The Master of Science (Data Engineering & Artificial Intelligence) is a postgraduate program aimed to developing advanced computing professionals with strong expertise in data management, intelligent systems, and modern AI technologies.

The curriculum offers a solid foundation in programming, algorithms, database systems, and software engineering, along with specialized courses in machine learning, deep learning, big data technologies, cloud computing, and predictive analytics.

Through laboratory sessions, hands-on projects, internships, and a major research dissertation, students gain practical experience with real-world data pipelines, AI model development, and scalable system deployment. The program emphasizes ethical AI practices, problem-solving, critical thinking, and innovation aligned with current industry needs.

Contemporary themes such as sustainability, digital transformation, and responsible technology use are integrated throughout the program. Graduates are prepared for careers in AI engineering, data engineering, analytics, automation, and research roles across diverse sectors including IT, finance, healthcare, education, and emerging digital industries.

Course Fee

1st Year 125000

2nd Year 128750

1st Sem 64000	3rd Sem 65875
2nd Sem 64000	4th Sem 65875

For International Students

Fee Per Semester	Fee Per Year
NA	5000*

Programme Structure

Semester 1

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	MSCS1101		Database Management System	4	0	0	4	Fundamentals of computers	CC
2	MSCS1102		C Programming and File Handling	4	0	0	4	Fundamentals of computers and basic mathematics	CC
3	MSDE1101		Foundation of Data Science	3	0	0	3	Fundamentals of computers	CC
4	MSCS1104		Computer Architecture and Organization	3	0	0	3	Boolean Algebra	CC
5	MSDE1102		Mathematics for Data Science	2	0	0	2	Fundamentals of computers	CC
Practical/Viva-Voce/Jury
6	MSCS1501		Database Management Systems Lab	0	0	2	1	Fundamentals of computers	CC
7	MSCS1502		C Programming and File Handling Lab	0	0	2	1	Fundamentals of computers	CC
8	MSDE1501		Foundation of Data Science Lab	0	0	2	1	Fundamentals of computers	CC
TOTAL CREDITS							19

Semester 2

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	MSCS1107		Data Structure	3	1	0	4	C Programming	CC
2	MSCS1201		Application Programming in Python	4	0	0	4	C Programming	DSE
3	MSCS1401		Probability and Statistics	2	0	0	2	Basics of Mathematics	SEC
4	POE-I								POE
	MSDE1001		Data Engineering	2	0	0	2	Basics of Computers
	MSDE1002		Cloud Computing					Basics of Computer Networks
	MSDE1003		NoSQL Database					Basics of Computers
Practical/Viva-Voce/Jury
5	MSDE1501		Data Engineering Lab	0	0	2	1
	MSDE1502		Cloud Computing Lab
	MSDE1503		NoSQL Database Lab					Basics of Computers
6	MSCS1507		Data Structure Lab	0	0	2	1	C Programming	CC
7	MSCS1505		Application Programming in Python Lab	0	0	2	1	C Programming	DSE
8	MSCS1601		Minor Project	0	0	0	4	Programing Methodology	Project
9	MSCS1801		Community Connect	0	0	0	2		Audit
TOTAL CREDITS							21

Semester 3

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	MSCS2107		Advanced Data Structure & Algorithms	3	1	0	4	Data Structures	CC
2	MSCS2102		OOPs using JAVA	3	0	0	3	C Programming	CC
3	MSCS2108		Software Engineering & Agile Methodologies	3	0	0	3	Computer Fundamental	CC
4	MSCS2401		Data Analysis and Visualization	2	0	0	2	Python Fundamentals	SEC
5			Research Methodology & IPR	0	0	2	1	Research Methodology	RM+IPR
Practical/Viva-Voce/Jury
6	MSCS2511		Technical Skill Enhancement Course - I	0	0	2	1
7	MSCS2502		OOPs using JAVA Lab	0	0	2	1	C Programming	CC
8	MSCS2507		Advanced Data Structure & Algorithms Lab	0	0	2	1	Data Structures	CC
9	MSCS2508		Software Engineering & Agile Methodologies Lab	0	0	2	1	Computer Fundamental	CC
10	MSCS2504		Data Analysis and Visualization Lab	0	0	2	1	Python Fundamentals	SEC
11	MSCS2701		Industry Connect	0	0	0	0		Project
12	MSCS2601		Dissertation (Research Based Learning)	0	0	0	4	Google Scholar	Project
TOTAL CREDITS							23

Semester 4

S. No.	Course Code	Paper ID	Course	Teaching Load			Credits	Pre-requisites



				L	T	P


THEORY SUBJECTS
1	MSCS2512		Technical Skill Enhancement Course - II	0	0	2	1	Computer Science Core Subjects
POE-II
	MSDE2001		IOT & Data Analytics	2	0	0	2
	MSDE2002		Advanced Visual Analytics
	MSDE2003		Business Intelligence and Strategy
2	MSCS2602		Project	0	0	0	14	Research and Project Methodology
Practical/Viva-Voce/Jury
TOTAL CREDITS							17

Programme Curricula

S.No.	Academic year	Curricula Link
1	2026-27	View Details

For Students

For Employees

M.Sc. Data Engineering & AI