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Department of Mathematics

Mathematics

(BSc) Mathematics

Entry for 2025

FHEQ level

This course is set at Level 6 in the national Framework for Higher Education Qualifications.

Course Aims

The Mathematics (BSc) degree programme aims to provide:
1. teaching in the mathematical sciences that is broad-based and, where appropriate, informed by a research base of international standard;
2. a programme structure which allows transfer between certain programmes at appropriate stages, and a guided choice of courses to meet students' developing interests;
3. a coherent set of courses grouped for intellectual and vocational reasons, based on a mathematics and statistics core building progressively on skills and knowledge acquired during the programme;
4. an admissions policy which gives access to students with special needs and to mature and other prospective students who may have unconventional academic backgrounds;
5. provision for students to develop personal and intellectual skills, enabling them to compete successfully on the employment market;
6. a caring and supportive environment for students from a diversity of cultures and backgrounds.

Course learning outcomes

Knowledge and Understanding: By the end of the programme a successful student is expected to be able to: demonstrate basic knowledge and understanding of a core of analysis, algebra, applied mathematics and statistics; demonstrate knowledge and understanding of some advanced topics, depending on his or her own choice.

Intellectual Skill: By the end of the programme a successful student is expected to be able to: demonstrate ability to understand and use mathematical argument and deductive reasoning; demonstrate awareness of the importance of mathematical and statistical assumptions and awareness of their use.

Practical Skills: By the end of the programme a successful student is expected to be able to: demonstrate competence in the use of mathematical methods and techniques in problem solving and modelling; explore, and where feasible solve, mathematical problems, by selecting appropriate techniques; demonstrate knowledge and understanding of the process of mathematical or statistical modelling; exhibit developed skills of numeracy, involving use of quantitative concepts and arguments, where appropriate, at all stages of work.

Transferable Skills: By the end of the programme a successful student is expected to be able to: take decisions in complex and unpredictable contexts; apply a selection of mathematical, computational, numerical and statistical skills; communicate scientific information orally and in writing; take responsibility for their own learning, and manage time appropriately.

Full-time course composition

YearTermStatusModuleCreditsFHEQ level
1Autumn SemesterCoreAnalysis 1 (G5135)154
  CoreDiscrete Mathematics (G5136)154
  CoreFundamentals of Mathematics (G5133)154
  CoreLinear Algebra 1 (G5134)154
 Spring SemesterCoreAnalysis 2 (G5139)154
  CoreComputational Mathematics (G5137)154
  CoreLinear Algebra 2 (G5138)154
  CoreNumber Theory (G5140)154
YearTermStatusModuleCreditsFHEQ level
2Autumn SemesterCoreAlgebra (G5144)155
  CoreCalculus of Several Variables (G5141)155
  CoreIntroduction to Probability (G5143)155
  CoreOrdinary Differential Equations (G5142)155
 Spring SemesterCoreDifferential Equations with Modelling (G5148)155
  CoreNumerical Analysis (G5147)155
  CoreProbability and Statistics (G5146)155
  CoreReal Analysis (G5145)155
YearTermStatusModuleCreditsFHEQ level
3Autumn SemesterCorePartial Differential Equations (G1114)156
  OptionApplied Numerical Analysis (L.6) (G1110)156
  Communicating STEM (899S4)156
  Computing for Data Analytics and Finance (L6) (G5219)156
  Data Science Research Methods (L6) (G5222)156
  Financial Mathematics (L.6) (G5124)156
  Functional Analysis (L.6) (G1029)156
  Introduction to Mathematical Biology (L6) (G5106)156
  Linear Statistical Models (L6) (G1107)156
  Probability Models (L6) (G1100)156
 Spring SemesterCoreMaths Matters (Project) (G5270)156
  OptionComplex Analysis (L6) (G5261)156
  Cryptography (L.6) (G1032)156
  Dynamical Systems (L6) (G5126)156
  Machine Learning and Statistics for Health (L6) (G5221)156
  Monte Carlo Simulations (L6) (G5220)156
  Numerical Solution of Partial Differential Equations (L.6) (G5217)156
  Researching STEM (899S5)156
  Statistical Inference (L.6) (G5216)156

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.