BSc Mathematics

3 Years On Campus Bachelors Program

University of Lincoln

Program Overview

The BSc (Hons) Mathematics at the University of Lincoln offers a strong balance of pure and applied mathematics, ideal for students who enjoy logical thinking, problem-solving, and exploring how maths shapes real-world systems. The degree builds both theoretical insight and practical modelling skills, preparing you for careers across science, finance, technology, research, and education.

Curriculum Structure

Year 1

Your first year strengthens core mathematical foundations with modules such as Algebra, Calculus, Linear Algebra, Probability and Statistics, Computer Algebra & Technical Computing, Geometrical Optics, Waves and Mechanics, Ideas of Mathematical Proof, and Professional Skills & Group Study. You develop analytical fluency while learning how mathematics connects to physical systems, computation, and problem-solving in a structured, supportive environment.

Year 2 (Middle Years)

In your second year, the course deepens your understanding of both abstract and applied mathematics. You study Algebraic Structures, Complex Analysis, Differential Equations, Scientific Computing, and Industrial & Financial Mathematics, building rigorous proof-based reasoning alongside real-world modelling and computational skills. This stage prepares you for specialised upper-level work and applied industry challenges.

Year 3 (Honours Year)

Your final year offers advanced study in areas such as Group Theory, Numerical Methods, and Tensor Analysis, with optional modules like Fluid Dynamics depending on your interests. You also complete a major Mathematics Project, allowing you to explore a topic in depth and develop independent research, critical thinking, and technical communication skills. Students may also choose to undertake a Placement Year to gain professional industry experience.

Focus Areas

Pure mathematics, applied mathematics, algebra, analysis, probability, statistics, differential equations, numerical methods, scientific computing, mathematical modelling, and industrial and financial applications.

Learning Outcomes

You will graduate with strong analytical reasoning, abstract thinking, and quantitative problem-solving skills, along with the ability to apply mathematics to complex theoretical and real-world scenarios. You also develop valuable transferable skills—including communication, teamwork, computing, and independent project management—making you highly competitive across multiple industries.

Professional Alignment (Accreditation)

The program is accredited by the Institute of Mathematics and its Applications (IMA), ensuring it meets recognised professional standards and supports pathways toward chartered status for mathematically oriented careers.

Reputation (Employability Rankings)

The University of Lincoln is known for strong teaching quality, high levels of student satisfaction, and excellent graduate outcomes in mathematics. Graduates from this programme progress into roles in finance, data analysis, technology, engineering, research, government, and education, supported by modern facilities, industry-focused modules, and optional placement opportunities.

Experiential Learning (Research, Projects, Internships etc.)

Students on the BSc Mathematics programme at Lincoln develop strong analytical and problem-solving abilities through a blend of pure mathematics, applied mathematics, and computational training. The learning experience is hands-on: you work with mathematical software, engage in problem-solving workshops, complete group tasks, and carry out an independent project in the final year. The curriculum is shaped by active researchers, meaning the tools, methods, and techniques you learn reflect what is used in modern mathematics, science, engineering, and industry.

You also benefit from practical computing modules, numerical modelling tasks, and the option to take a placement year, which allows you to apply mathematics in real-world environments. The university supports you through small-group tutorials and dedicated problem-solving sessions, helping you build confidence and fluency in mathematical thinking.

Transition to bullet points: To give you a clearer sense of the tools, facilities, and hands-on opportunities built into this degree, here are the key experiential learning components:

Experiential Learning Highlights

Computational and technical computing training: Students use specialist mathematical and scientific software through modules such as Computer Algebra & Technical Computing and Scientific Computing, developing practical IT and coding skills alongside mathematical theory.
Hands-on applied mathematics work: Tasks in numerical methods, differential equations, and modelling allow students to apply mathematics to real-world situations in science, engineering, and data-driven contexts.
Group projects and collaborative learning: The programme includes opportunities for teamwork through structured group assignments, modelling tasks, and collaborative problem-solving sessions.
Individual research-style project: In your final year, you complete an in-depth individual project or dissertation, developing research skills, academic writing, and the ability to explore advanced mathematical topics independently.
Small-group tutorials and weekly problem sessions: Students benefit from close academic support, especially in the first year, with additional sessions designed to strengthen foundational mathematical reasoning.
Optional placement year (sandwich year): The course offers the opportunity to undertake a full year in industry, giving real-world experience and strengthening employability through practical application of mathematical skills.
Active research environment: Modules are informed by ongoing research within the School of Mathematics and Physics, ensuring you learn modern, up-to-date mathematical techniques.
Flexible optional modules: Students can specialise in areas such as mathematical physics, advanced pure mathematics, computational mathematics, or applied modelling, depending on career interests.
Development of key transferable skills: Throughout the degree, you build communication, teamwork, analytical reasoning, report writing, problem formulation, and IT literacy — all highly valued across industry sectors.
Supportive mathematics community: The programme provides structured academic support, mentoring, and opportunities to participate in subject-related events and activities.
Modern digital learning environment: Students use a combination of digital resources, simulations, and online mathematical tools that reinforce independent and guided learning.

Progression & Future Opportunities

Graduates of BSc Mathematics at the University of Lincoln develop strong analytical, numerical, and problem-solving skills that are highly valued in finance, data analytics, research, engineering, and technology sectors. Many students progress into skilled employment or further study within 15 months of graduating, demonstrating the programme’s strong outcomes.

Typical job roles include:

Data Analyst / Quantitative Analyst
Scientific or Research Analyst
Actuarial or Financial Risk Analyst
Software Developer / Technical Consultant

University support for employability:

Institute of Mathematics and its Applications (IMA) accreditation: provides long-term professional recognition and supports progression toward Chartered Mathematician status.
Careers & Employability Service: one-to-one career coaching, CV support, interview preparation, employer events, and industry networking tailored for STEM students.
Placement Year option: students can undertake a year-long industry placement, gaining real-world experience in finance, technology, government, or research organisations.
Research-informed teaching: learning from active mathematics researchers ensures exposure to modern topics and opportunities for project-based collaboration.
Skills development: emphasis on mathematical modelling, statistics, numerical computation, communication, and teamwork prepares students for a wide range of technical professions.

Employment statistics & salary outcomes:

A high proportion of graduates are in professional employment or further study within 15 months of completing the degree.
Typical graduate salaries range around £25,000–£30,000 within the first year after graduation.
Alumni secure roles in finance, analytics, scientific research, consultancy, technology, and government agencies.

Industry relevance & long-term value:

Accreditation by a major professional body enhances employability and ensures the programme meets industry standards.
The blend of pure and applied mathematics, statistics, and computational skills provides long-term flexibility across evolving sectors like finance, AI, data science, scientific research, and engineering.

Graduation outcomes:
Graduates leave with strong theoretical and practical mathematical knowledge, the ability to analyse complex problems, and transferable skills that help them succeed in analytical, technical, and research-focused careers.

Further Academic Progression:

After completing this programme, students can pursue:

Master’s degrees in Applied Mathematics, Statistics, Data Science, Computational Modelling, Financial Mathematics, or related areas.
Research degrees (MSc by Research or PhD) in mathematics, mathematical modelling, data-driven science, or mathematical physics.
Professional careers in analytics, finance, technology, research, consultancy, government, or engineering sectors, supported by strong mathematical foundations.