About the Programme

M.S. in Quantum Computing at Sharda University is a cutting-edge postgraduate program designed to equip students with advanced knowledge in quantum mechanics, quantum algorithms, and next-generation computing technologies. The curriculum blends theoretical foundations with practical applications, covering areas such as quantum programming, cryptography, and artificial intelligence integration. With access to modern labs, research opportunities, and industry exposure, the program prepares students for careers in emerging fields like quantum technology, data science, and advanced research.

Course Fee

1st Year 80000

2nd Year 82400

1st Sem 41500	3rd Sem 42700
2nd Sem 41500	4th Sem 42700

For International Students

Fee Per Semester	Fee Per Year
NA	5000*

Programme Structure

Semester 1

Mathematical & Quantum Foundations

S. No.	Course Code	Course	Teaching Load			Credits	Type of Course: 1.CC
S. No.	Course Code	Course	L	T	P	Credits	Type of Course: 1.CC
THEORY SUBJECTS
1.	MQCXXX	Mathematical Physics for Quantum Systems	3	1	0	4	CC
2.	MPH120	Quantum Mechanics	3	1	0	4	CC
3.	MPH112	Solid state physics	3	1	0	4	CC
4.	MQCXXX	Basics of Python Programming	3	0	2	4	DSE
Practical
5.	MQCXXX	Quantum Technology Lab I	0	0	4	2	DSE
6.	CCP400 1	Community Connect	0	0	0	0	SEC
TOTAL CREDITS						18

Semester 2

Quantum Computing & Programming

S. No.	Course Code	Course	Teaching Load			Credits	Type of Course: 1.CC
S. No.	Course Code	Course	L	T	P	Credits	Type of Course: 1.CC
THEORY SUBJECTS
1.	MQCXXX	Quantum Information & Computation	3	1	0	4	CC
2.	MQCXXX	Classical Mechanics & Statistical Physics//MOOC	3	1	0	4	CC
3.	MQCXXX	Quantum Computing Simulation	2	0	4	4	SEC
4.	PHT115 2	Advanced Quantum Mechanics	3	0	0	3	DSE
Practical
5.	MQCXXX	OPE/ Scientific Programming (Python)	2	0	2	3	DSE
6.	MQCXXX	(RBL-1)	0	0	0	4	Dissertation
TOTAL CREDITS						22

Semester 3

Advanced Topics & Electives

S. No.	Course Code	Course	Teaching Load			Credits	Type of Course: 1.CC
S. No.	Course Code	Course	L	T	P	Credits	Type of Course: 1.CC
THEORY SUBJECTS
1.	MQCXXX	Quantum Algorithms & Complexity	3	1	0	4	CC
2.	MQCXXX	Quantum computing Hardware	3	0	0	3	CC
3.	MPH204	Electromagnetics	3	1	0	4	CC
4.	MQCXXX	Quantum Optics/MOOC	3	1	0	4	DSE
5.	MQCXXX	Classical Machine Learning	2	0	2	3	SEC
Practical
6.	MQCXXX	(RBL-1)	0	0	0	2	Dissertation
7.	MQCXXX	Quantum Technology Lab II	0	0	4	2	DSE
TOTAL CREDITS						22

Semester 4

Advanced Topics and Dissertation

S. No.	Course Code	Course	Teaching Load			Credits	Type of Course: 1.CC
S. No.	Course Code	Course	L	T	P	Credits	Type of Course: 1.CC
THEORY SUBJECTS
1.	MCQXXX	Quantum Communication & Quantum Key Distribution	3	0	0	3	CC
2.	MCQXXX	Quantum Machine Learning	2	0	4	4	CC
3.	MQCXXX	Research Methodology & Scientific Writing	3	0	0	3	CC
4.	MQCXXX	Quantum Materials & Quantum Devices	3	0	0	3	DSE
5.	MCQXXX	Quantum Sensing	2	0	0	2	DSE
Practical
6.	MQCXXX	RBL-2	0	0	0	3	Dissertation-II
TOTAL CREDITS = 18

Eligibility Criteria

For National Students	Bachelor’s degree (B.Sc. / B.C.A / B.E. / B.Tech. or equivalent) from a recognized university with minimum 60% aggregate 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.

For Students

For Employees

M.S. Quantum Computing