Master of Science in Quantum Science and Technology
The MS programs in Quantum Science and Technology at Alamein International University (AIU) is designed to prepare students for careers in industry, research institutions, and academia. Students will acquire the necessary skill sets through theoretical coursework, laboratory experiments, and research projects. This training is reinforced by hands-on experience and collaborative research opportunities, providing students with advanced knowledge and practical skills.
This MS program offer foundational training in quantum science with a focus on its technological applications, enabling graduates to become proficient practitioners in the field. The degree will equip students with critical skills and knowledge to make significant contributions within interdisciplinary environments involving quantum technologies.
Program Educational Objectives
- To equip students with a rigorous theoretical understanding of quantum mechanics, quantum information, and quantum algorithms, integrated with hands-on laboratory and computational experience using industry-standard tools and platforms.
- To enable students to apply quantum principles to develop and optimize solutions in targeted sectors such as advanced materials discovery, quantum-secure communication, financial modeling, and machine learning.
- To produce graduates with the multidisciplinary expertise to fill critical roles in the emerging quantum technology ecosystem, from R&D and algorithm development to systems engineering and strategic consultancy.
- To foster an innovation mindset, empowering graduates to contribute to the design and prototyping of novel quantum-enabled products and services that address complex computational and sensing challenges.
- To strengthen regional and national technological competitiveness by creating a pipeline of skilled talent capable of driving commercialization and establishing new, high-value quantum technology ventures.
A. Applicants must hold a Bachelor of Engineering (in fields such as Computer Engineering, Electrical Engineering, Electronics Engineering & Communication, Mechanical Engineering, or Mechatronics) or a Bachelor of Science (in Computer Science, Mathematics, Physics, or Statistics) or related Bachelor of Science from one of the colleges affiliated with the Computer Science and Data Science sector, as recognized by the Supreme Council of Universities, with a minimum cGPA of 2.7 (-B) or higher.
B. Subject to the approval of the Faculty Council and the endorsement of the Council of Academic Affairs, students with a lower cGPA may be admitted conditionally to study a number of qualifying courses at the 400 level, up to a maximum of 18 credit hours within at most one year. Their registration in the program will be accepted after passing the qualifying courses with a minimum cGPA of 3.0 (B) . These hours are not counted towards the credit hours required for the degree and are not included in the degree’s cumulative GPA calculation.
C. An admission test may be conducted to determine the number of admitted students and assess their possession of the necessary scientific and academic background for the program. If the test is not passed, the student may be admitted conditionally to study a number of qualifying courses at the 400 level, up to a maximum of 18 credit hours within at most one year. Their registration in the program will be accepted after passing the qualifying courses with a minimum GPA of 3.0 (B). These hours are not counted towards the credit hours required for the degree and are not included in the degree’s cumulative GPA calculation.
D. Graduates of Alamein International University and students from universities where the medium of instruction is English are exempted from the language proficiency test.
Upon graduation, students will be able to:
- Design and execute quantum circuits using programming frameworks (e.g., IBM Qiskit and Google Cirq) to solve problems in optimization, simulation, or machine learning on current hardware.
- Critically analyze a complex problem in science or industry to identify opportunities where a quantum approach may provide a measurable advantage over classical methods.
- Communicate technical quantum concepts, project proposals, and value propositions effectively to diverse audiences, including technical teams, investors, and business stakeholders.
- Develop, implement, and benchmark variational quantum algorithms (e.g., VQE, QAOA) for specific applications, accounting for the constraints of noisy intermediate-scale quantum (NISQ) devices.
- Process, visualize, and extract meaningful insights from the probabilistic outputs of quantum computations and experiments.
- Lead and collaborate effectively in multidisciplinary project teams, demonstrating professional responsibility and project management skills.
- Assess the societal, security, and ethical implications of quantum technologies, particularly in the contexts of cryptography, data privacy, and equitable access.
- Total Credits: Completion of 36 credit hours.
- Structure:
- 15 Mandatory Credits
- 9 Elective Credits: Three courses chosen to fulfill a specific specialization track.
- 12 Thesis Credits: Completion and public defense of an original academic research thesis.
- Duration: Minimum of 4 semesters and a maximum of 6 semesters (with possible extensions)
| Title | Hours | |
|---|---|---|
| MS in Quantum Science and Technology Coursework | Mandatory Credits (see core list below) | 15 Cr.Hrs. |
| Elective Credits (see elective list below) | 9 Cr.Hrs. | |
| Thesis | CSE690 – Thesis in Quantum Science and Technology (MSc) | 12 Cr.Hrs. |
| Total | 36 Cr.Hrs. |
Mandatory Courses ( 15 Crs. required)
| Code | Title | Credit Hours | Prereq |
|---|---|---|---|
| MAT621 | Introduction to Quantum Mechanical Systems | 3 | — |
| MAT622 | Advanced Statistical Theory and Inference | 3 | — |
| MAT623 | Linear Algebra for Quantum Systems | 3 | — |
| CSE671 | Foundation of Quantum Computing and Information | 3 | — |
| CSE661 | Quantum Internet and Cryptographic Techniques | 3 | CSE671 |
| LAN601 | Technical Writing and Research Methods | 0 | — |
Elective Courses (9 Crs. required)
- Student should select 3 credits from Table A and 6 credits from Table B:
Table A : Student should select 3 crs.
| Code | Title | Credit Hours | Prereq |
|---|---|---|---|
| CSE631 | Quantum and Reversible Circuits Design | 3 | CSE671 |
| CSE611 | Quantum Algorithms Analysis and Design | 3 | CSE671 and MAT623 |
Table B : Student should select 6 crs.
| Code | Title | Credit Hours | Prereq |
|---|---|---|---|
| CSE612 | Quantum Complexity Theory & Algorithm Analysis | 3 | CSE611 |
| CSE681 | Quantum Image Analysis and Processing | 3 | CSE671 |
| CSE621 | Quantum Simulation and Modeling | 3 | CSE671 and MAT621 |
| CSE632 | Quantum Codes and Fault-Tolerant Logic | 3 | CSE671 and MAT623 |
| CSE613 | New Trends in Quantum Science & Technology | 3 | Completion of at least 18 core/elective credits |
| AIE623 | Quantum Artificial Intelligence | 3 | CSE671 and MAT622 |
| MAT624 | Quantum Entropy and Information Processing | 3 | MAT621 and MAT623 |
| PHY621 | Quantum Physical Systems | 3 | MAT621 and MAT623 |
| PHY622 | Quantum Optics and Photonic Technologies | 3 | MAT621 and MAT623 |
| PHY623 | Quantum Sensing, Metrology and Imaging | 3 | MAT621 and MAT623 |
| PHY624 | Quantum Electronics and Nanofabrication | 3 | MAT621 and MAT623 |
Graduates of this program will possess a unique combination of deep quantum mechanical knowledge, advanced programming skills, and applied problem-solving ability, making them highly competitive in both the specialized quantum industry and the broader tech sector. Their expertise in quantum algorithm design, quantum hardware fundamentals, and data analysis is directly applicable to high-value roles in technology development and research. Specifically, graduates will be prepared for careers such as:
- Quantum Algorithm Scientist/Developer in quantum computing companies (e.g., IBM, Google, Quantinuum, startups) or corporate R labs.
- Quantum Hardware Engineer or Experimentalist, contributing to the development of qubit and control systems in industry or national research facilities.
- Applied Research Scientist in sectors leveraging quantum simulation, including pharmaceuticals, chemistry, and advanced materials.
- Quantum Cryptography and Security Specialist, designing and testing next-generation secure communication systems for government or private entities.
- Technical Consultant or Product Manager, bridging the gap between quantum technology capabilities and client needs in finance, logistics, or cybersecurity.
- Further Academic Research, pursuing a PhD to push the frontiers of quantum science and engineering.