BSc Hons Mathematical Physics

The Mathematical Physics degree at Nottingham is designed to help you use mathematics to solve real physical problems. From the first year, you’ll be applying theory through computing classes, problem-solving workshops, and structured tutorials. You learn to model systems, work with data, write code, and tackle physics problems with rigorous mathematical tools. As you progress into later years, you complete advanced physics modules and undertake a substantial research-style project, giving you experience that mirrors real scientific practice.

Here’s how these practical experiences unfold:

• Computing for Physical Science (Year 1): You gain hands-on experience using Python to model and solve physical problems, learning the foundations of computational physics.

• Interactive Teaching Formats: Learning takes place through lectures, workshops, tutorials, seminars, and problem classes — so you’re constantly applying concepts instead of just receiving information.

• Varied Assessments: You’ll complete lab reports, written coursework, group projects, poster presentations, and a final-year research project, all designed to strengthen your communication and analytical skills.

• Group Research Projects: In advanced years, you can choose mathematics or physics group project modules where you collaborate on real problems, produce reports, and present your findings.

• Scientific Computing (C++ Module): A later-year module gives you training in C++, numerical methods, and scientific simulations, preparing you for computational roles.

• Weekly Tutorials: Small-group tutorials in your first year ensure consistent academic support, helping you build strong foundations in both physics and mathematics.

Facilities & Tools That Support Your Learning

Nottingham backs up the degree with excellent physical and digital resources that help you not only study theory but also practice it:

• Computing Labs for Physics and Maths: Equipped for simulations, programming, modelling, and numerical computation.

• Physics Teaching Facilities: Workshops, seminar rooms, and problem-solving spaces designed for interactive learning.

• Mathematical Sciences Building: Offers study areas, collaboration spaces, and quiet zones tailored to maths-intensive courses.

• Laptop-Loan Programme: Provides access to university laptops loaded with scientific and mathematical software.

• Advanced Scientific Software: Used in coursework for computational physics, numerical methods, and modelling tasks (including Python and C++).

• Extensive Library Resources: Access to specialist physics and mathematics books, journals, databases, research articles, and group-study rooms.

• Active Research Environment: The School of Mathematical Sciences hosts research groups — including mathematical physics — which allows students to interact with active researchers and take on project topics that relate to ongoing research.

Graduates of the BSc (Hons) Mathematical Physics are well-prepared for high-impact careers in research, technology, finance, and engineering. You’ll develop a unique blend of mathematical rigor and physical insight, making you highly adaptable in both industry and academia. Typical graduate roles include quantum software engineer, data scientist, systems engineer, and theoretical physicist.

Here’s how Nottingham helps you achieve your career goals:

• University Services Supporting Employability

  • The Careers & Employability Service offers personalised guidance, CV and interview coaching, work experience placements, and lifelong career support.

  • Within the School of Physics & Astronomy, dedicated tutors help students sharpen problem-solving skills and academic thinking through small-group tutorials.

  • Employer-engagement events, recruitment fairs, and networking sessions give students a head start in building professional connections.

  • The Nottingham Advantage Award enables students to develop career-focused skills outside the core curriculum.

• Employment Statistics & Salary Figures

  • Around 86% of science undergraduates, including physics, secure employment or further study within 15 months of graduation.

  • Average starting salaries are approximately £27,800–£28,000, with many graduates seeing growth in the first five years.

  • Long-term earning potential for graduates typically reaches around £37,500 within five years.

• University–Industry Connections

  • Graduates often work with leading employers such as global consulting firms, energy companies, tech organisations, and national research institutions.

  • The degree equips students with transferable skills—mathematical modelling, computational techniques, and logical reasoning—that are highly sought after across multiple industries.

  • Nottingham is consistently targeted by top graduate recruiters due to its academic reputation and strong research presence in physics.

• Long-Term Accreditation & Academic Reputation

  • The School of Physics & Astronomy is research-active, with strengths in quantum technologies, theoretical physics, and applied mathematics.

  • Small-group tutorials and dual maths-physics tutoring ensure rigorous academic training, highly respected by both industry and academia.

  • The degree carries long-term value, supporting graduates throughout careers in industry and further study.

• Graduate Outcomes

  • Alumni enter roles such as systems engineers, software developers, data analysts, and medical or clinical physicists.

  • Others pursue careers in research, academia, teaching, or science communication, leveraging their strong analytical and problem-solving foundation.

Further Academic Progression:

After completing the BSc, students have multiple strong pathways:

• Master’s (MSc) in Theoretical Physics, Quantum Physics, or Applied Mathematics to gain deeper knowledge in advanced topics.

• PhD in Mathematical Physics or related fields, supported by Nottingham’s research groups in quantum theory, computational modelling, and astrophysics.

• Master’s in Data Science or Computational Science for an applied career route in quantitative finance, technology, or big data analytics.