MSc in Quantum and Computational Physics

Physics Department

Quantum and Computational Physics (MSc)

Key Feature

Code PX401

Modules 8

Duration 12 months

Applications
accepted until 30 September 2026

Study Mode Fully Online

Credits 90 ECTS-aligned

Tuition Fees €5,500

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Overview
The MSc in Quantum and Computational Physics is designed for students who want to develop advanced knowledge of modern physics with a strong focus on quantum theory, computational methods, numerical modelling, and simulation.

The programme combines core postgraduate physics training with specialist optional modules in quantum many-body physics, quantum simulation, quantum information, machine learning for physics, data acquisition, FPGA applications, nanophotonics, plasmonics, and quantum materials.

Students complete taught modules and a supervised dissertation project in quantum and computational physics, normally based on theory, numerical modelling, simulation, or research analysis.

Objectives
The programme aims to:

1. Provide advanced knowledge of quantum mechanics and mathematical methods used in modern physics.
2. Develop students’ ability to use computational and numerical techniques to study physical systems.
3. Introduce key areas of quantum and computational physics, including quantum simulation, many-body systems, and quantum information.
4. Build practical understanding of modern tools used in physics, including modelling, simulation, machine learning, and data acquisition.
5. Prepare students for research, further postgraduate study, or technical roles in physics-related areas.
6. Develop independent research skills through a supervised dissertation project.

Learning Outcomes
By the end of the programme, students will be able to:

Apply advanced quantum mechanics and mathematical methods to physical problems.
Use computational techniques to model and analyse quantum and physical systems.
Explain core concepts in quantum simulation, many-body physics, and quantum information.
Evaluate numerical methods and select suitable approaches for solving physics problems.
Interpret and communicate scientific results clearly in written and oral form.
Use modern computational tools for modelling, simulation, data analysis, or research-based investigation.
Critically review scientific literature and place their work within the wider context of current physics research.
Complete a supervised independent project in quantum and computational physics.

Core	ECTS-aligned
Advanced Quantum Mechanics	7.5
Mathematical Methods for Physicists	7.5
Computational Physics	7.5
Research Methods and Scientific Communication	7.5

Optional (choose any 4):	ECTS-aligned
Numerical Methods for Quantum Systems	7.5
Quantum Many-Body Physics	7.5
Quantum Simulation	7.5
Quantum Information and Quantum Computing	7.5
Machine Learning and Data-Driven Modelling in Physics	7.5
Data Acquisition and FPGA for Physicists	7.5
Nanophotonics and Plasmonics	7.5
Quantum Materials and Nanostructures	7.5

Dissertation	ECTS-aligned
A supervised project in quantum and computational physics, based on theory, numerical modelling, simulation, or research analysis.	30

Entry Requirements
• Bachelor’s degree in Physics, Electrical Engineering, Mathematics, or closely related field.
• Background in linear algebra, calculus, and basic Python (2-week bootcamp included).
• RPL/RPEL considered for strong industry experience.
• English language: GCSE English Language grade 4/C – IB grade 4 Higher Level. If your first language is not English, you will need an IELTS of 6.0 overall, with 5.5 in each component, or a related certificate of English language course. Proficiency or Lower Certificate in English, or good writing and communication skills in English (at the discretion of the Committee).
• Hardware not required (optional FPGA/measurement kit available; full software paths provided).

Inspire your future

Study from any place Worldwide

No limits in education

Straightforward way of teaching

Quantum Photonic Chip for Navigation

Quantum photonic chip uses laser sources and silicon waveguides for ultra-precise motion sensing, enabling GPS-free navigation (developed by Sandia National Laboratories).

Way of study

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