MSc in Physics for Industry and Innovation

Physics Department

Physics for Industry & Innovation (MSc)

Key Feature

Code PX212

Modules 8

Duration 8 weeks

Registration Opening January 2026

Teaching Distance learning

Credits 1 ECTS-aligned (for Pro)

Tuition Fees €249 Core (self-paced)
€349 Plus (capstone + certificate)
€499 Pro Cohort (live tutorial)

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Overview
The MSc Physics for Industry & Innovation delivers advanced, industry-oriented training across quantum & photonics and computational & maritime systems. You’ll blend rigorous theory with reproducible computational labs (Python/GPU) and embedded/FPGA mini-projects, designing and validating real instruments and data pipelines. Each 10-ECTS module can stand alone as a micro-credential. The 30-ECTS thesis targets an industry or research problem; company-based projects and NDAs are supported.

Objectives

Advance knowledge in quantum, photonics, computation, and sensing with direct industrial relevance.
Build robust skills in scientific computing, HPC/GPU, and FPGA/embedded instrumentation.
Conduct reproducible research with sound data management, uncertainty analysis, and ethics.
Deliver deployable prototypes and publishable studies addressing real-world challenges.

Learning Outcomes
Graduates will be able to:

Demonstrate advanced understanding of quantum mechanics, photonics, and computational physics.
Select and apply appropriate mathematical and numerical methods (PDEs, Green’s/embedding, optimisation).
Design reproducible workflows (Git, environments, CI), quantify uncertainty, and communicate results clearly.
Apply machine learning for physics with calibration, uncertainty, and interpretability.
Prototype sensor/instrumentation stacks using FPGA/embedded systems and integrate with Python pipelines.
Plan and execute an independent research project culminating in a defended thesis.

Core (30 ECTS):
• Research Methods & Scientific Computing (10)
• Advanced Quantum Mechanics for Industry (10)
• Computational Physics: PDEs, Green’s & Embedding Method (10)

Electives (30 ECTS — choose any 3):
• Quantum Optics & Photonics Labs (10)
• Plasmonics & Metamaterials (10)
• Quantum Sensing & Inertial Navigation (10)
• HPC & GPU for Physicists (10)
• ML for the Physical Sciences (10)
• Signal Processing for AUVs & Remote Sensing (10)
• Numerical Electromagnetics & Waveguides (10)
• Applied Optics & Laser Engineering (10)

Dissertation (30 ECTS):
• Industry-aligned research project; proposal → mid-review → thesis and viva (NDA possible).
• Plasmonics & Metamaterials (10)
• Quantum Sensing & Inertial Navigation (10)
• HPC & GPU for Physicists (10)
• ML for the Physical Sciences (10)
• Signal Processing for AUVs & Remote Sensing (10)
• Numerical Electromagnetics & Waveguides (10)
• Applied Optics & Laser Engineering (10)

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).

Efficient way of study

Every video-lecture is supported by
a text-book which consists of the
speech-text and the Power Point Presentation

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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