Degree structure
The two-year master’s program in the Quantum Science and Technology (QST) Track at the Department of Mathematics and Computer Science, Eindhoven University of Technology (ºÚÁϸ£ÀûÍø), comprises 120 ECTS credits (European Credit Transfer System). It integrates a rigorous mathematical foundation with specialized training in quantum science, complemented by research or industry experience and personal development.
Students may enter the QST track through either the Industrial and Applied Mathematics or the Applied Physics master’s program. The degree structure presented below applies to those enrolled in Industrial and Applied Mathematics.
| Core courses | 30 ECTS |
| Specialization electives (including optional internship) | 45 ECTS |
| Free electives | 15 ECTS |
| Graduation project | 30 ECTS |
Foundational courses and specialization electives
What are the key subjects covered?
The foundational courses are Quantum Science and Technology, Probability and Stochastics, Functional Analysis and Optimization. In addition, students will follow the courses Professional Portfolio (professional and personal development) and Toolkit for Computation (challenge-based learning) and participate in the Modelling Week.
Are there any specializations or focus areas within the track?
The program offers a broad range of specialization electives that allow students to shape their studies according to their interests. These electives naturally cluster around two thematic directions, without imposing fixed profiles or tracks.
Quantum computing and algorithms, including:
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Quantum Computing and Algorithms
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Quantum Protocols
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Hybrid Quantum Computing
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Quantum Optimization and Machine Learning
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Theory and Practice of Many-Body Quantum Systems.
Quantum theory and information, including:
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Quantum Information
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Functional Analysis for Quantum Theory
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Differential Geometry for Classical and Quantum Gravity
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Coding Theory
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Ultracold Quantum Physics.
Students are free to combine electives across these themes, enabling flexible, interdisciplinary, and individually tailored study paths.
They can also take any specialisation electives from the MSc program Industrial and Applied Mathematics (see: IAM Curriculum), as long as they select at least 20 ECTS from the above quantum specialization electives.
What labs, tools, or facilities will students use?
- ºÚÁϸ£Àû꿉۪s quantum simulation, computation labs and cleanroom facilities
- Software frameworks: QuTiP, Qiskit, PennyLane
- Collaborative research facilities within Quantum Delta NL
Free electives
You may choose from any master’s courses available at ºÚÁϸ£ÀûÍø or other institutions, as long as they are of a sufficient level. This gives you the opportunity to develop new knowledge and skills, either within your specialization or to expand to other disciplines.
Internship and graduation
As a master’s student in QST, you have the opportunity to broaden your academic and professional horizons through an external internship and an in-depth graduation project.
External internship (15 ECTS)
Gain hands-on experience by working in an international, real-world setting - whether it’s a high-tech Brainport company, a leading Dutch research institute, or a university lab abroad. Together with a ºÚÁϸ£ÀûÍø supervisor, you select the topic and location that suit your interest.
Possible settings include:
- Quantum startups, semiconductor, and computing companies
- Research labs in quantum software, sensing, or algorithms
- Collaborative projects at national or international institutes
In the Industrial and Applied Mathematics track, the external internship is optional. Students can also choose to follow 15 ECTS of specialization electives instead.
Graduation project (30 ECTS)
The graduation project may take the form of either an in-depth research project conducted within one of the department’s research groups or a more practice-oriented project carried out at a company or research institute. It offers an opportunity to apply your skills in a professional context—academic or industrial—and to contribute to the development of technologies with tangible societal impact.
Possible projects are:
- Computational (e.g., quantum simulation, algorithms, optimization, and machine learning)
- Theoretical (e.g., mathematical theory, quantum many-body problems, open quantum systems)