BSc Physics with Artificial Intelligence

3 Years On Campus Bachelors Program

Keele University

Program Overview

Keele’s BSc (Hons) Physics with Artificial Intelligence is a cutting-edge program for students who want to combine deep scientific knowledge with advanced computational skills to solve real-world problems.

It’s ideal for those who enjoy physics, programming, and data analysis — and want to apply machine learning to challenges in science, healthcare, energy, and beyond.

Curriculum structure

Year 1: Foundations in Physics and Programming
You’ll begin with core modules like Gravitation, Relativity and Matter, Electricity and Magnetism, and Waves, while developing computational skills through Python programming and scientific writing. These modules build your understanding of physical principles and introduce the basics of AI and data science.

Year 2: Quantum Physics and AI Techniques
This year deepens your physics knowledge with Quantum Mechanics, Optics, and Nuclear Physics, while expanding your AI toolkit through modules in Machine Learning Applications and Computational Intelligence. You’ll also engage in Team Investigations and Individual Experiments, applying both physics and AI to real-world scenarios.

Year 3: Advanced Topics and Independent Research
You’ll explore frontier subjects like Electromagnetism and Advanced Machine Learning, and undertake a substantial independent research project — experimental, computational, or theoretical — aligned with your career goals. A Group Report module simulates consultancy-style teamwork, preparing you to present physics-based solutions to industry or policy-makers.

Focus areas

Quantum mechanics, electromagnetism, machine learning, computational intelligence, nuclear physics, Python programming

Learning outcomes

Problem-solving, data analysis, programming, experimental design, teamwork, AI modelling, scientific communication

Professional alignment (accreditation)

Accredited by the Institute of Physics (IoP); partially meets educational requirements for Chartered Physicist (CPhys) status

Reputation (employability rankings)

Keele ranks in the Top 10 in England for Physics (NSS 2025, broad-based universities) and Top 15 in the UK for graduate employability (Uni Compare Rankings 2026)

Experiential Learning (Research, Projects, Internships etc.)

Keele’s BSc Physics with Artificial Intelligence gives students hands-on experience with experimental physics, coding, and machine learning — all supported by specialist labs, digital platforms, and real-world projects.

From your first year, you’ll be working with Python, analysing data, and applying AI techniques to physical systems. The program blends scientific depth with technological innovation, preparing you for careers in research, tech, and industry. Here’s how experiential learning is built into the course:

Keele’s Central Science Laboratories support experimental modules in optics, electromagnetism, and nuclear physics.
Python programming is taught in Year 1, forming the foundation for later AI and machine learning modules.
Machine Learning Applications and Computational Intelligence modules in Year 2 and 3 offer hands-on experience with AI modelling and data-driven problem solving.
Final Year Research Project allows students to pursue an independent investigation — experimental, theoretical, or computational — aligned with their interests.
Group Report module simulates consultancy-style teamwork, applying physics and AI to real-world policy or industry challenges.
Keele’s Smart Innovation Hub and Science and Innovation Park foster links with local industry and research centres.
Keele Library and online resources support research with access to physics journals, AI databases, and scientific literature.
Digital platforms like Blackboard support simulations, assignments, and collaborative learning.

Progression & Future Opportunities

Keele’s BSc Physics with Artificial Intelligence prepares students for high-impact careers at the intersection of science and technology — from data science and software development to AI-driven research and engineering.

Graduates leave with a rare combination of physical insight and computational fluency, making them ideal candidates for roles such as machine learning engineer, data analyst, research scientist, and technical consultant. Here’s how Keele supports your future success:

Keele Careers and Employability Team provides tailored support through the Keele Internship Programme, employer networking events, and career workshops.
Group Report module simulates consultancy-style teamwork, preparing students to present physics and AI-based solutions to policy-makers and industry clients.
Keele’s Smart Innovation Hub and Science and Innovation Park foster links with local industry and offer opportunities for engagement beyond the classroom.
Institute of Physics (IoP) accreditation partially fulfills requirements for Chartered Physicist (CPhys) status — a valuable long-term credential.
Graduates leave with a toolkit of professional, practical, and employability skills, embedded throughout the curriculum and aligned with sector demands.

Further Academic Progression:
Students can continue into MSc or PhD programs in Artificial Intelligence, Physics, or Computational Science, either at Keele or other leading institutions. Keele’s active research groups and postgraduate opportunities support further academic development.