Physics with Computer Science BSc

4 Years On Campus Bachelors Program

University of Nottingham

Program Overview

The MSci Physics with Computer Science at the University of Nottingham is built for students who want to master both the laws of nature and the logic of computation.
It’s ideal for those who enjoy solving problems, building simulations, and working with data — combining core physics with programming, algorithms, and digital modelling.

Curriculum structure

Year 1: Foundations in Physics and Programming
You’ll begin with Fundamentals of Classical and Modern Physics I and II, covering mechanics, waves, quantum physics, and relativity. Alongside this, you’ll study Mathematical Methods and Modelling for Physicists and Professional Skills for Physicists I. In computer science, you’ll take Programming and Algorithms, learning Python and algorithmic thinking.

Year 2: Expanding Scientific and Computational Depth
Second year includes Quantum Mechanics, Thermal and Statistical Physics, and Electromagnetism. You’ll also take Software Engineering and User Interfaces, where you’ll work on design principles and collaborative coding. Investigations in Physics II develops your lab skills and data analysis, while optional modules let you explore areas like machine learning or particle physics.

Year 3: Advanced Topics and Independent Research
In your third year, you’ll complete a substantial Physics Research Project, often involving simulation, modelling, or data-driven inquiry. You’ll study advanced modules such as Quantum Optics, Nuclear Physics, and Condensed Matter Physics, and choose computer science options like Artificial Intelligence or Computer Graphics, depending on your interests.

Year 4: Integrated Master’s Research and Specialisation
The final year is dedicated to your MSci Research Project, where you’ll work with one of Nottingham’s world-class research groups. You’ll explore cutting-edge topics in computational physics, quantum technologies, or software-driven modelling, supported by advanced digital tools and academic mentorship.

Focus areas:
Quantum mechanics, electromagnetism, programming, algorithms, software engineering, data analysis

Learning outcomes:
Scientific computing, experimental design, algorithmic thinking, mathematical modelling, independent research, communication skills

Professional alignment (accreditation):
Accredited by the Institute of Physics (IOP) — meets the full educational requirement for Chartered Physicist (CPhys) status

Reputation (employability rankings):

Top 20 in the UK for physics (Complete University Guide 2026)
Global recognition for research in quantum technologies and AI
Green Flag Award-winning campus every year since 2003

Experiential Learning (Research, Projects, Internships etc.)

Students in Nottingham’s BSc Physics with Computer Science program develop practical skills through hands-on lab work, programming projects, and independent research — all supported by specialist facilities and digital tools. From your first year, you’ll be working with real data, writing code, and conducting experiments that mirror professional scientific and tech environments.

Here’s how Nottingham brings experiential learning to life:

Investigations in Physics I & II: Core lab modules that build experimental skills, data analysis, and scientific reporting — with increasing independence and complexity.
Programming and Algorithms: Learn Python and algorithmic thinking through practical coding assignments and collaborative projects.
Software Engineering and User Interfaces: Apply design principles and teamwork to build functional software systems.
Physics Research Project (Year 3): Work with academic staff on real-world topics in computational physics, quantum optics, or data modelling.
Digital Tools: Students use platforms like Python, MATLAB, and LabVIEW for simulation, analysis, and modelling.
Group Projects: Embedded in modules like Professional Skills for Physicists, helping students develop teamwork and communication.
School of Physics and Astronomy Facilities: Includes optics labs, quantum technology equipment, and computing clusters for simulation work.
Libraries and Learning Spaces: Access to specialist physics and computer science journals, e-books, and collaborative study zones across University Park campus.
Internship Opportunities: Support available through the university’s Placements and Internships team, with links to industry and research labs.

Progression & Future Opportunities

Graduates of Nottingham’s BSc Physics with Computer Science program are uniquely prepared for careers that blend scientific insight with computational power. Whether you're building simulations, analysing data, or designing software systems, this degree opens doors to roles like data scientist, software engineer, computational physicist, or AI developer.

Here’s how Nottingham supports your future:

Careers and Employability Service: Offers tailored support including career coaching, employer events, and access to internships through the Nottingham Advantage Award and Placement Year schemes.
Graduate Outcomes: 90% of physics graduates are in employment or further study within 15 months of graduation.
Salary Potential: Early career salaries typically range from £30,000–£38,000, with strong progression in tech, research, and engineering sectors.
Industry Partnerships: Students benefit from links with organisations such as IBM, Rolls-Royce, Siemens, and the UK Space Agency, especially through research projects and placement opportunities.
Accreditation Value: Accredited by the Institute of Physics (IOP) — meets the full educational requirement for Chartered Physicist (CPhys) status.
Graduate Destinations: Alumni work at NASA, Deloitte, CERN, Capgemini, and leading universities and tech firms worldwide.

Further Academic Progression:
Graduates are well-prepared to continue with master’s or PhD programs in computational physics, quantum technologies, artificial intelligence, or software engineering. Nottingham’s strong research culture and final-year project experience provide an excellent foundation for advanced study and academic careers.