Professional Master in Quantum Science and Technology

• 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’s degree from a university accredited by the Supreme Council of Universities or an internationally recognized institution, with a Cumulative Grade Point Average (CGPA) of at least 2.7 (B-) or higher. With the approval of the Faculty Council and the endorsement of the Academic Affairs Council, students with a lower CGPA may be granted conditional admission to study a number of preparatory courses at the 400-level, up to a maximum of 24 credit hours within a maximum of one year. Their enrollment in the program will be accepted after passing these preparatory courses with a CGPA of at least 2.7 (B-). These hours are not counted toward the credit hours required for the degree and are not included in the calculation of the program CGPA.

B. Applicants must pass qualifying examinations covering the following foundational subjects:

• Computer Programming and Data Structures.
• Theory of Computation, Computational Complexity, and Algorithms.
• Statistics and Probability Theory.
• Linear Algebra and Calculus.

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 33 credit hours.
• Structure:
  • 15 Mandatory Credits
  • 9 Elective Credits: 3 credits from Table A and 6 credits from Table B
  • 9 project Credits: Completion and defense of an applied research project report (CSE696).
• Duration: Normally completed in 2 years. The project phase has a minimum duration of 6 months and a maximum of 1 year (with a possible 6-month extension approved by the Council)

Mandatory Courses ( 15 Crs. required)

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.

Table B : Student should select 6 crs.

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.