Mathematics BSc Hons

Program Overview

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Mathematics BSc (Hons)

Overview

Gain heavily sought-after skills on this challenging and enjoyable course which provides you with a broad mathematical education and the skills needed for a wide variety of careers.

Study Options

• Full-Time, Part-Time (BSc) at Exton Park, Chester
• Full-Time with Foundation Year (BSc) at Exton Park, Chester

Level

• Undergraduate

UCAS Code

• G100

UCAS Points

• 112

Start Date

• Oct 2025, Oct 2026

Duration

• 3 years full-time, up to 7 years part-time

Location

• Exton Park, Chester

UK Fees

• £9,535 per year for a full-time course (2025/26)

International Fees

• £14,450 per year for a full-time course* (2025/26)

Course Leader

• Dr Yubin Yan

Course Content

Year 1

• Foundations of Mathematics (20 Credits) Core
  • Introduction to the foundational language and notation used throughout mathematics
  • Topics include mathematical logic, set theory, proofs, number systems, functions, elementary number theory, symmetry groups, etc.
• Differential Equations with their Applications (20 Credits) Core
  • Introduction to the essential theory and numerical methods used in solving ordinary and partial differential equations (ODEs and PDEs)
  • Topics include review of calculus techniques, methods of differentiation and integration, and applications to real-world problems
• Analysis and Linear Algebra (40 Credits) Core
  • Introduction to both analysis and linear algebra
  • Topics include sequences and series, functions and their continuity and differentiability, and linear transformations between vector spaces
• Probability and Statistics with Applications to Data Science and Machine Learning (20 Credits) Core
  • Introduction to probability, data, and statistics
  • Topics include set-theoretic approach to probability, combinatorics, conditional probability, independence, and Bayes' Theorem
• Computation, Communication and Employability (20 Credits) Optional
  • Development of essential transferable skills for employability
  • Topics include algorithms, programming, research and writing skills, and LaTeX

Year 2

• Linear Programming and Optimisation (20 Credits) Core
  • Study of the theoretical background behind linear programming methods
  • Topics include canonical forms of linear programming problems, integer linear programming, and game theory
• Introduction to Stochastic Processes (20 Credits) Core
  • Introduction to stochastic processes and their applications
  • Topics include Markov chains, random walks, Brownian motion, and stochastic differential equations
• Analysis (20 Credits) Core
  • Development of a rigorous theory of convergence, differentiation, and integration of real-valued functions
  • Topics include uniform continuity, uniform convergence, and the Darboux integral
• Theory & Applications of Geometry (20 Credits) Core
  • Introduction to major geometrical topics taught at undergraduate level
  • Topics include Euclidean geometry, solid geometry, and spherical geometry
• Graph Theory and Combinatorics (20 Credits) Option
  • Introduction to graph theory and combinatorics
  • Topics include trees, graph connectivity, networks, Eulerian and Hamiltonian graphs, and recurrence relations
• Professional work placement/Language module/Term abroad (40 Credits) Option
  • Opportunity to take part in a professional work placement, language module, or term abroad

Year 3

• Quality Control (20 Credits) Core
  • Introduction to quality control and statistical theory and methods
  • Topics include methods and philosophy of statistical process control, control charts, and process capability studies
• Group Theory (20 Credits) Core
  • Study of groups and their actions on sets and geometric objects
  • Topics include groups, subgroups, cosets, normal subgroups, quotient groups, and homomorphisms
• Applied Calculus and Partial Differential Equations (20 Credits) Core
  • Development of a rigorous theory of convergence, differentiation, and integration of real-valued functions
  • Topics include vector calculus, partial differential equations, and the theory of and techniques for solving PDEs
• Numerical Analysis (20 Credits) Core
  • Introduction to numerical techniques for solving mathematical problems
  • Topics include solving nonlinear equations, finding roots, Newton iteration, and related methods
• Mathematics of AI (20 Credits) Option
  • Introduction to the key mathematical concepts and skills essential for understanding and developing modern ML and AI algorithms
  • Topics include theory from calculus, linear algebra, optimisation, probability, and statistics
• Computational Linear Algebra (20 Credits) Option
  • Introduction to numerical techniques for solving linear algebra problems efficiently and reliably
  • Topics include norms, limits, and condition numbers, errors, accuracy, and floating-point arithmetic
• Mathematical Project (40 Credits) Core
  • Opportunity to explore deeply an area of mathematics of your choice
  • Development of skills of self-discipline and project management, and study of the art of mathematical writing and communication

How You'll Learn

• In-person study with 9-12 hours of contact time per week
• Independent study with 25-30 hours per week expected
• Assessment through problem sheets, online quizzes, exams, presentations, and group-work projects

Study a Common First Year

• Shared first year with students on Mathematics with Finance, Mathematics with Data Science, and Mathematics with Computer Science courses
• Opportunity to learn alongside students from other courses and broaden your knowledge and exposure to other concepts, perspectives, and professions

Entry Requirements

• Home Students: 112 UCAS points, including A Level Maths
• International Students: 72 UCAS points, including A Level Maths
• Foundation Year: 72 UCAS points, including A Level Maths

Fees and Funding

• Home Students: £9,535 per year for a full-time course (2025/26)
• International Students: £14,450 per year for a full-time course* (2025/26)
• Additional costs: £800-£1000 for a laptop, £100 for occasional field trips

Who You'll Learn From

• Dr Yubin Yan, Associate Professor
• Dr Zachiri Mckenzie, Senior Lecturer
• Dr Justin Mcinroy, Programme Leader for MSc Mathematics
• Dr Yanting Hu, Senior Lecturer
• Dr Majduleen Zeyadeh, Visiting Lecturer
• George Dewhirst, Visiting Lecturer
• James Hoult, Visiting Lecturer
• Dominic Aku, Visiting Lecturer

Where You'll Study

• Exton Park, Chester
• Modern learning resources and library
• Fitness facilities
• Student Services
• Chapel, chaplaincy, and multi-faith spaces
• Accommodation
• Catering

Your Future

• Job Prospects: excellent employment prospects in various sectors and industries
• Careers Service: award-winning Careers and Employability service
• Related Courses: Mathematics with Finance BSc (Hons), Mathematics with Computer Science (BSc Hons), Mathematics with Data Science BSc (Hons), Mathematics MSc

Latest News

• Libby pursues a career she is truly excited about and praises her Maths degree
• Mangalika’s passion for Maths brings her to Chester - a new chapter for her career and personal growth
• Chester mathematics graduate’s grant fund win equals research project success

Your Journey Starts Here

• Book an Open Day
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University of Chester
Parkgate Road
Chester
CH1 4BJ

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