About the Programme

M.Sc. in Computer Science is a two-year post-graduate programme with the objective to develop human resources with core competence in various thrust areas of Computer Science. The programme includes software engineering, system development, natural computation, mathematical foundations and artificial intelligence. Other modules include programming, data analytics, software development, applied communications, network architecture, and database design. The coursework of the programme focus on preparing students for innovation within major tech companies or entrepreneurship within startup ventures.

Students are provided with opportunities to develop and hone core competency in the field of computer science and encourage them to make a mark in the much sought after IT industry. Guest lectures, case studies and presentations are organised from time to time to give an insight into the latest development and happenings in the industry.

Programme Educational Objectives (PEO)

PEO-1 The graduates will establish themselves as professionals by solving real-life problems using exploratory and analytical skills acquired in the field of Computer Science and Engineering.
PEO-2 The graduates will provide sustainable solutions to ever changing interdisciplinary global problems through their Research & Innovation capabilities.
PEO-3 The graduates will become employable, successful entrepreneur as an outcome of Industry-Academia collaboration.
PEO-4 The graduates will embrace professional code of ethics while providing solution to multidisciplinary social problems in industrial, entrepreneurial and research environment to demonstrate leadership qualities

PO's:

PO1: Computing Knowledge Ability to develop and implement optimal solutions to complex computing problems using industry-recognized best practices and standards.
PO2: Problem Analysis: Apply problem-solving and technical skills to analyze complex problems and propose feasible computing solutions using fundamental principles of mathematics and computing sciences.
PO3: Design/Development of Solutions Design and develop the solutions to practical and complex engineering problems for welfare of society.
PO4: Research and Development Apply research-based knowledge and methodologies to analyze the problem, interpretation of data and synthesis of the information using technical tools.
PO5: Modern Tool Usage Create, select, and apply appropriate techniques, resources, and modern IT tools including application and modeling to computer applications with an understanding of the limitations.
PO6: Innovation and Entrepreneurship Use innovative approach to develop opportunities to create value and wealth for the betterment of the individual and society at large.
PO7: Environment and Sustainability Understand the impact of the professional system solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8: Personal and Professional Ethics Apply ethical decision making in the development, implementation, and management during professional life.
PO9: Communication: Ability to communicate effectively in both manner, verbally and written, to provide integrated solution to customers/users or peers.
PO10: Life-Long Learning: Continue the process of life-long learning through professional activities adapt themselves with ease to new technologies,

PSO’s

PSO1: Computer Science Use and apply current technical concepts and practices in the core areas of computer science, i.e. networking, data management, software engineering, computer security and artificial intelligence.
PSO2: Information Technology To cater to the demands of the IT and IT-enabled sectors through strong theoretical foundation with high quality teaching complemented with extensive practical training.

This course is for individuals who...

are passionate, diligent and determined to make a career in the Computer Science field. It is for candidates who possess the ability to accept changes and immediately look for creative solutions.

Students who are looking for...

a career with exceptional prospective fields and challenging roles in a futuristic industry must opt for this programme.

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

Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
Programme Name:		MSC - CS					Programme Code: SET0127
Batch: 2026 Onwards				SEMESTER: I
S. No.	Course Code	Paper ID	Course	Teaching Load			Credits	Pre-requisites	Type of 1. CC 2. DSE 3. POE 4. SEC 5. Project
				L	T	P
				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	MSCS1103		Operating System	4	0	0	4	Fundamentals of computers	CC
4	MSCS1104		Computer Architecture and Organization	3	0	0	3	Boolean Algebra	CC
5	MSCS1105		Computing and Innovation	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	MSCS1503		Operating System Lab	0	0	2	1	Fundamentals of computers	CC
TOTAL CREDITS							20

Semester 2

Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
Programme Name:		MSC - CS					Programme Code: SET0127
Batch: 2026 Onwards				SEMESTER: II
S. No.	Course Code	Paper ID	Course	Teaching Load			Credits	Pre-requisites	Type of 1. CC 2. DSE 3. POE 4. SEC 5. Project
				L	T	P
				L	T	P
THEORY SUBJECTS
1	MSCS1109		Data Structure	3	1	0	4	C Programming	CC
2	MSCS1201		Application Programming in Python	4	0	0	4	C Programming	DSE
3	MSCS1107		Artificial Intelligence and Machine Learning	3	0	0	3	Basics of Mathematics	CC
4	MSCS1401		Probability and Statistics	2	0	0	2	Basics of Mathematics	SEC
POE-I
5	MSCS1001		Big Data Analytics	3	0	0	3	Basics of Computers	POE
	MSCS1002		Cryptography and Network Security					Basics of Computer Networks
	MSCS1003		Cloud Computing					Basics of Computers
Practical/Viva-Voce/Jury
6	MSCS1509		Data Structure Lab	0	0	2	1	C Programming	CC
7	MSCS1505		Application Programming in Python Lab	0	0	2	1	C Programming	DSE
POE-I LAB
8	MSCS1506		Big Data Analytics Lab	0	0	2	1	Basics of Computers	POE
	MSCS1507		Cryptography and Network Security Lab					Basics of Computer Networks
	MSCS1508		Cloud Computing Lab					Basics of Computers
9	MSCS1601		Minor Project	0	0	6	3	Programing Methodology	Project
10	MSCS1801		Community Connect	0	0	0	0		Audit
11	NVXXXXXX		VAT Course	3	0	0	0		VAT
TOTAL CREDITS							22

Semester 3

Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
Programme Name:		MSC - CS					Programme Code: SET0127
Batch: 2026 Onwards				SEMESTER: III
S. No.	Course Code	Paper ID	Course	Teaching Load			Credits	Pre-requisites	Type of 1. CC 2. DSE 3. POE 4. SEC 5. Project
				L	T	P
				L	T	P
THEORY SUBJECTS
1	MSCS2101		Design and Analysis of Algorithms	3	0	0	3	Data Structures	CC
2	MSCS2102		OOPs using JAVA	3	0	0	3	C Programming	CC
3	MSCS2103		Software Engineering	3	0	0	3	Computer Fundamental	CC
4	MSCS2401		Data Analysis and Visualisation	2	0	0	2	System	SEC
POE-II
5	MSCS2001		Deep Learning	3	0	0	3	Basics of Computers	POE
	MSCS2002		Cybersecurity					Basics of Computer Networks
	MSCS2003		Cloud Infrastructure and Services					Basics of Computers
6			Research Methodology & IPR	0	0	2	1	Research Methodology	RM+IPR
Practical/Viva-Voce/Jury
7	MSCS2501		Design and Analysis of Algorithms Lab	0	0	2	1	C Programming	CC
8	MSCS2502		OOPs using JAVA Lab	0	0	2	1	Data Structures	CC
9	MSCS2503		Software Engineering Lab	0	0	2	1	Computer Fundamental	CC
10	MSCS2504		Data analysis and Visualisation Lab	0	0	2	1	System	SEC
POE-II LAB
11	MSCS2505		Deep Learning Lab	0	0	2	1	Basics of Computers	POE
	MSCS2506		Cybersecurity Lab					Basics of Computer Networks
	MSCS2507		Cloud Infrastructure and Services Lab					Basics of Computers
12	MSCS2701		Industry Connect	0	0	0	2		Project
13	MSCS2601		Dissertation (Research Based Learning)	0	0	4	2	Google Scholar	Project
TOTAL CREDITS							24

Semester 4

Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
Programme Name:		MSC - CS					Programme Code: SET0127
Batch: 2026 Onwards				SEMESTER: IV
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	MSCS2104		Technical Skill Enhancement Course	0	0	4	2	Computer Science Core Subjects	CC
POE-III
2	MSCS2004		Natural Language Processing	3	0	0	3	Machine Learning	POE
	MSCS2005		Digital Forensics					Machine Learning
	MSCS2006		Internet of Things					Computer Fundamental
Practical/Viva-Voce/Jury
POE-III LAB
3	MSCS2508		Natural Language Processing Lab	0	0	2	1	Machine Learning	POE
	MSCS2509		Digital Forensics Lab					Machine Learning
	MSCS2510		Internet of Things Lab					Computer Fundamental
4	MSCS2603		Project	0	0	0	8	Research and Project Methodology	Project
TOTAL CREDITS							14

Programme Curricula

S.No.	Academic year	Curricula Link
1	2023-24	View Details
2	2021-22	View Details
3	2020-21	View Details
4	2019-20	View Details
5	2018-19	View Details

Eligibility Criteria

For National Students	B.Sc. IT/CS/Mathematics, BCA with minimum 50% marks.
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.

How to apply for the course?

Career path you can choose after the course

Software developer
Software Tester
Network administrator
Database designer
Game Designer

IBM
TCS
Wipro
Amazon
NTT Data etc.

For Students

For Employees

Master of Science - Computer Science