Quantum Science and Engineering (MS)

Program Educational Goals:

Students who successfully complete the Quantum Science and Engineering Master’s degree program will be able to:

1. Core Concepts: Demonstrate a mastery of the foundational knowledge and skills of core aspects of research and development for quantum technologies. Utilize foundational knowledge to develop deeper expertise within a specialized area of quantum technologies.
2. Critical Thinking Skills: Demonstrate the ability to critically evaluate literature and data, identify key scientific questions and technical obstacles, develop and implement approaches to address these questions or overcome these obstacles, and communicate the approach and results clearly.
3. Research Skills:Demonstrate the depth of knowledge and skills required for professional employment in at least one aspect of quantum technology. This includes demonstrating scientific thinking, the ability to design and implement a scientific research plan, the ability to acquire the technical skills necessary to implement such a research plan, and the ability to develop and employ analytical skills that enable rigorous qualitative and quantitative scientific data evaluation.
4. Collaboration and Professional Skills: Act professionally and ethically. Employ a shared vocabulary that enables collaboration between specialists working on different aspects of quantum technologies. Work productively at the intersection of different aspects of quantum technologies that cross the boundaries of traditional disciplines.
5. Scientific Communication Skills: Employ methods of effective communication within the discipline. This includes development of the scientific writing skills necessary for publication of research and preparation of fundable research proposals. This also includes development of the oral presentation skills required to effectively share scientific information and ideas to both specialized and general audiences.

Requirements for the Degree:

The QSE MS degree requires a minimum of 32 credit hours. Students must receive a B- or higher in all core courses. Students will follow one of three tracks: Quantum Nanotechnology, Quantum Theory, or Quantum Algorithms and Computation.

Electives:

Please use this list as a starting point for optional electives. Other courses not on this list may be used to satisfy the elective requirement with the advance approval of the Program Committee.

• CISC 601 - Elements of the Theory of Computation Credit(s): 3
• CISC 621 - Algorithm Design and Analysis Credit(s): 3
• CISC 684 - Introduction to Machine Learning Credit(s): 3
• CISC 830 - Advanced Topics in Algorithms and Complexity Theory Credit(s): 3
• MATH 612 - Computational Methods for Equation Solving and Function Min Credit(s): 3
• MATH 630 - Probability Theory and Applications Credit(s): 3
• MATH 806 - Functional Analysis Credit(s): 3
• MSEG 841 - Solid State Materials I Credit(s): 3
• PHYS 626 - Introduction to Atomic, Molecular and Optical Physics Credit(s): 3
• PHYS 812 - Quantum Mechanics II Credit(s): 3
• PHYS 813 - Quantum Statistical Mechanics Credit(s): 3
• PHYS 814 - Advanced Quantum Mechanics Credit(s): 3
• PHYS 624 - Introduction to Condensed Matter Physics Credit(s): 3

Research and Thesis:

Students will be required to take 6 hours of approved research thesis credits. Students who wish to do a summer internship may opt for internship course credit and/or a non-thesis degree in lieu of thesis research credit.

• QSEG 869 - MASTER’S THESIS Credit(s): 1-6

• or

• QSEG 864 - INTERNSHIP Credit(s): 1-6
• QSEG 868 - RESEARCH Credit(s): 1-12

Credits to Total a Minimum of 32

Last Revised for 2022-2023 Academic Year