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MS in Quantum Computing
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Curriculum Details
The following table lists the courses for the MS in Quantum Computing Program.
Core Requirements (23 cr)
Core Requirements (23 cr)
Code |
Course Title |
Credits |
Prerequisite(s) |
QCI400 |
Overview of Quantum Computing |
2 |
None |
QCI401 |
Mathematical Foundations of Quantum Computing |
3 |
None |
QCI501 |
Qubits, Quantum Gates and Quantum Circuits |
3 |
Co-Requisite: QCI401 |
QCI521 |
Foundational Quantum Algorithms |
3 |
QCI501 |
QCI531 |
Practical Quantum Computing Applications |
3 |
Co-Requisite: QCI521 |
QCI601 |
Quantum Computing Hardware and Systems |
3 |
QCI501 |
QCI621 |
Advanced Quantum Algorithms – Machine Learning |
3 |
QCI521 |
QCI641 |
Topics in Quantum Computing |
3 |
QCI531 |
Electives (6 cr)
Select from the following:
Electives (6 cr)
Code |
Course Title |
Credits |
Prerequisite(s) |
COS531 |
Modern Applied Statistical Learning |
3 |
DAS502 |
COS536 |
Applied Machine Learning |
3 |
DAS541 |
COS541 |
Big Data Engineering |
3 |
None |
COS643 |
Computer Vision and Natural Language Processing |
3 |
COS536 |
QCI602 |
Advanced Quantum Mechanics |
3 |
QCI401 |
Capstone Project (4 cr)
Capstone Project (4 cr)
Code |
Course Title |
Credits |
Prerequisite(s) |
QCI651 |
Capstone Project |
4 |
QCI641 |
MS in Quantum Computing › Curriculum Details