| Program start date | Application deadline |
| 2026-09-01 | - |
Program Overview
Quantum Science and Technology MSc
Overview
We are currently witnessing the dawn of a Quantum Technology revolution in which fundamental physical phenomena such as entanglement and superposition are harnessed for ground-breaking applications in computation, secure communication, sensing and metrology and machine learning.
Course Details
- Duration: Full-time: 1 year, Part-time: Not available
- Start Date: September 2026
- UK Fees: TBC
- International Fees: TBC
- Entry Requirements: 2:1
Course Overview
This MSc provides a broad introduction to the mathematical principles and practical applications of quantum science and technology, offering the ideal training for a future career in this fast-developing field. It is jointly taught by the School of Physics and Astronomy, and the School of Mathematical Sciences, through a unique blend of modules covering mathematical, theoretical and experimental aspects.
Why Choose This Course?
- Sensing and Metrology: Learn Quantum Sensing and Quantum Metrology - unique modules taught by leading experts
- Sensors Timing Hub: Part of the UK Quantum Technologies programme
- Quantum Leaders: Cerca Magnetics, a research spin-off of the Sir Peter Mansfield Imaging Centre developed the world first wearable MEG device
- Pathway Selection: Choose Quantum Information, Computation and Metrology or Quantum Devices and Technology
- Project Choice: Broad range of topics supervised by members of staff from mathematics, physics and engineering
- Combined Expertise: Taught jointly by Schools of Mathematical Sciences and Physics and Astronomy
Course Content
Our MSc programme is unique in the UK through its two-pronged approach offering distinct pathways:
- Quantum Information, Computation and Metrology
- Focus on fundamental physical and mathematical principles of quantum science
- Unique dedicated Quantum Metrology module
- Quantum Devices and Technology
- Gain additional training in quantum technology
- Opportunity to carry out experimental dissertation work
The core modules offer an introduction to current research topics including:
- Foundations of quantum Information and quantum computation
- Atomic physics and the light-matter interaction
- Physics of engineered quantum devices
- Quantum estimation, sensing and metrology
Both pathways have a range of optional modules including Machine Learning, Coding and Cryptography, Scientific Programming, Practical Quantum Computation and Quantum Field Theory.
Modules
Core
- Quantum Information Science
- Quantum Dynamics and Coherent Devices
- Light and Matter
- Quantum Technology and Experimental Research Methods
- Dissertation
Optional
- Scientific Programming in Python
- Introduction to Practical Quantum Computing
- Machine Learning in Science Part I
- Statistical Machine Learning
Learning and Assessment
- How You Will Learn: Lectures, Independent study, Discussions, Interactive learning, Research project, Problem classes, Presentations, Guest speakers, Lab sessions
- How You Will Be Assessed: Exams, Coursework, Project work, Group project, Presentations
Entry Requirements
- Home / UK Students: 2:1 BSc degree (or equivalent) in Physics, Mathematical Physics, Mathematics, Engineering, Computer Science or joint degrees containing substantial elements of physics or mathematics
- EU / International Students: 2:1 BSc degree (or equivalent) in Physics, Mathematical Physics or Mathematics, or joint degrees containing substantial elements of physics or mathematics
- English Language Requirements: IELTS: 6.0 overall (with no less than 5.5 in any element)
Fees
- Qualification: MSc
- Home / UK: To be confirmed
- International: To be confirmed
Funding
There are many ways to fund your postgraduate course, from scholarships to government loans.
Careers
The course will provide you with training in advanced methods in mathematics, theoretical and experimental physics, as well as communication and teamwork skills. These techniques have applications in a wide variety of scientific careers at the international level.
Related Courses
- Machine Learning in Science MSc
- Learn how to apply machine learning and AI techniques to real scientific problems. Build vital skills to enhance your employability in a rapidly expanding area.
