BSc (hons) mathematics & theoretical physics

4 Years On Campus Bachelors Program

University of Lincoln

Program Overview

The BSc (Hons) Mathematics & Theoretical Physics combines rigorous mathematics training with the study of theoretical physics, ideal for students who enjoy problem-solving, abstract thinking, and understanding the fundamental principles of the universe. Graduates develop strong analytical, computational, and conceptual skills, preparing them for careers in research, engineering, finance, or further postgraduate study in mathematics or physics.

Curriculum Structure

Year 1

In the first year, students establish a foundation in both mathematics and physics. Mathematics modules include Calculus, Linear Algebra, Probability and Statistics, and Introduction to Mathematical Proofs. Physics modules cover Mechanics, Waves and Optics, and Electromagnetism. Students also learn basic computational methods, ensuring strong analytical and problem-solving skills from the outset.

Year 2

Second-year studies deepen understanding with modules such as Complex Analysis, Differential Equations, Abstract Algebra, and Numerical Methods in mathematics. Physics modules cover Classical Mechanics, Quantum Mechanics, and Electromagnetic Theory. This year strengthens both theoretical knowledge and practical computational techniques, linking mathematics directly to physical applications.

Year 3 (Honours Year)

The final year integrates advanced mathematics and physics. Mathematics modules may include Topology, Partial Differential Equations, Stochastic Processes, and Mathematical Modelling. Physics modules cover Statistical Mechanics, General Relativity, and Advanced Quantum Mechanics. Students also complete an independent Mathematics & Physics Project, applying mathematical methods to solve complex theoretical physics problems and developing research and analytical skills.

Focus Areas

Pure and applied mathematics, probability and statistics, differential equations, numerical methods, theoretical physics, quantum mechanics, relativity, statistical mechanics, mathematical modelling, research projects.

Learning Outcomes

Graduates will develop strong analytical, problem-solving, and computational skills, capable of applying mathematics to theoretical physics problems. They are prepared for postgraduate study, research roles, or careers requiring advanced quantitative and analytical skills.

Professional Alignment (Accreditation)

The programme is accredited by the Institute of Mathematics and its Applications (IMA), meeting professional standards for mathematicians. It also provides excellent preparation for postgraduate study and careers in research, engineering, finance, or other quantitative fields.

Reputation (Employability & Outcomes)

Graduates of Mathematics & Theoretical Physics are highly regarded for their combined analytical and theoretical expertise. They frequently enter research, academia, finance, engineering, or technical roles, benefiting from the integration of advanced mathematics and physics throughout the course.

Experiential Learning (Research, Projects, Internships etc.)

The BSc Mathematics & Theoretical Physics programme at Lincoln provides a solid foundation in both disciplines, combining rigorous mathematical training with a deep understanding of physical theory. You gain strong analytical, numerical, and problem-solving skills while exploring core and advanced topics in physics, such as classical mechanics, quantum mechanics, thermodynamics, and electromagnetism. Practical learning is embedded through computational exercises, group projects, problem-solving workshops, and a final-year individual research project, ensuring you graduate with both technical and research-ready skills.

This dual-focus degree equips you for careers in research, data analysis, engineering, computational modelling, finance, and further study in mathematics or physics.

Transition to bullet points: Here’s a breakdown of the hands-on, practical, and research-focused opportunities within the programme:

Experiential Learning Highlights

Foundational mathematics and physics modules: Early years cover algebra, calculus, linear algebra, differential equations, probability, and statistics alongside mechanics, thermodynamics, waves, electromagnetism, and introductory quantum physics.
Applied computational skills: Students learn programming and computational methods to simulate physical systems, solve mathematical problems numerically, and model complex phenomena.
Advanced mathematics and physics topics: Later years include mathematical methods for physics, advanced differential equations, quantum mechanics, statistical mechanics, electrodynamics, and optional modules like cosmology or mathematical physics.
Final-year independent project: Students complete an individual research-style project, developing independent analytical, modelling, and problem-solving skills in mathematics or physics.
Group work and collaborative problem-solving: Team-based exercises in modelling, simulations, and analytical tasks strengthen teamwork, communication, and applied reasoning skills.
Small-group tutorials and workshops: Regular tutorials reinforce concepts, provide problem-solving practice, and allow close academic support.
Optional placement opportunities: Students may undertake industry or research placements, applying theoretical and computational knowledge in real-world settings.
Research-informed teaching: Lectures and modules are shaped by staff active in mathematics and physics research, ensuring exposure to modern methods, theories, and applications.
Flexible specialisation: Optional modules allow students to focus on areas such as pure mathematics, applied mathematics, theoretical physics, or computational physics.
Transferable skills development: The programme enhances problem-solving, analytical thinking, modelling, programming, project management, and scientific communication skills.
Digital and technical learning tools: Students use computational software, simulations, and online learning resources to support independent and guided learning.

Progression & Future Opportunities

Graduates of Mathematics & Theoretical Physics develop strong analytical, mathematical, and computational skills, combined with a deep understanding of physical theories and modelling techniques. This combination prepares students for careers in research, scientific computing, engineering, finance, and technology sectors.

Typical career roles include:

Research Scientist / Theoretical Physicist / Computational Scientist
Quantitative Analyst / Data Scientist / Risk Modelling Analyst
Scientific & Technical Consultant / Engineer (especially in modelling or simulation)
Software Developer for scientific computing or algorithm development

University support & employability features:

Research-informed teaching: students learn from active researchers, covering current theories in mathematics and physics and developing applied problem-solving and modelling skills.
Project work and advanced modules: substantial final-year projects and advanced coursework allow students to build independent research and analytical expertise.
Placement opportunities and industry links: optional internships or sandwich placements offer practical experience in labs, industry, or applied mathematics/physics sectors.
Careers guidance: targeted support for STEM students, including CV help, interview coaching, and employer networking opportunities.

Employment outlook & value:

Graduates are sought after in research, technology, engineering, finance, data analytics, and consulting.
Training in mathematics and physics equips students with strong analytical, modelling, and computational skills, valuable in both scientific and interdisciplinary roles.

Graduation outcomes:
Graduates leave with a solid foundation in mathematics and physics, computational and analytical expertise, and experience in research or project work, ready for technical, analytical, or research-oriented careers across multiple sectors.

Further Academic Progression:

After BSc Mathematics & Theoretical Physics, students can pursue:

Master’s degrees in Applied Mathematics, Theoretical Physics, Computational Science, Data Science, or Engineering Physics.
Research degrees (MSc/PhD) in mathematics, physics, computational modelling, astrophysics, or related STEM fields.
Direct entry into professional or technical roles in research, finance, data analytics, engineering, technology, or scientific computing.