Accounting & Mathematics BSc
AAB – BBB at A level, A-level Mathematics; graduates earn a median £30,500 three years on.
Typical A level offer
AAB – BBB
A-level Mathematics · 92% of entrants came with A levels · 65% stay on after year 1 · Glasgow course page, Discover Uni
Year 13 · applying
What do you need to get in?
AAB – BBBtypical A level offer
Typical offer — the grades most applicants are asked for. A contextual offer can be lower for applicants from under-represented backgrounds; none is published for this course.
Glasgow course page, read 19 September 2026 · Discover Uni entry profile
- 1A-level Mathematics
Who actually got in: 92% with A levels, 2% with the IB, 5% via Access courses. 47% arrived with 208 or more UCAS tariff points — roughly A*A*A or better. Based on 225 entrants.
UCAS tariff points — a points scale for grades: A* = 56, A = 48, so A*A*A = 160. Entrants’ totals include extra subjects.
Other qualifications2
| Qualification | Typical offer | Required subjects |
|---|---|---|
| Scottish Highers | AAAAAminimum from S5: BBBB | Higher Mathematics and a Higher Science subject at AA (AB may be considered). |
| IB | 34 (6,5,5) | HL Mathematics (Analysis & Approaches). |
Years 1–4
What do you study?
6compulsory modules in year 1
Compulsory modules this year: mathematics & statistics 52% · business & administration 38% · transversal skills 4% · digital & ict skills 4%.
Module — one course unit, usually a term or a year long; “core” means everyone takes it. One UK credit is about ten hours of study; a full year is 120 credits.
Glasgow course page · optional modules vary by year
Year 1 · 6 core · 140 credits ≈ 1,400 hours
- Finance 1
What you learn (14)
- explain the role of financial management in an organisation
- identify sources of long-term finance available to firms
- identify sources of short-term finance available to firms
- describe time value of money techniques
- apply time value of money methods to value securities
- apply finance theory to practical investment decisions
- evaluate investment appraisal techniques used in practice
- analyse the effects of inflation on investment appraisal
- analyse the effects of capital rationing on investment appraisal
- describe the use of financial ratios in decision making
- evaluate the contribution of financial statistics to decision making
- explain the financial elements of business planning
- explain the financial elements of business forecasting
- collaborate in a team to produce a financial report
- Financial Accounting 1
What you learn (9)
- describe fundamental financial accounting terminology and concepts
- apply core financial accounting principles to practical situations
- construct bookkeeping records from source accounting data
- compile a trial balance from ledger accounts
- prepare year-end financial statements for a sole trader
- prepare year-end financial statements for a partnership
- evaluate limited company accounts including disclosure notes
- use accounting software to record financial transactions
- generate financial statements using accounting software
- Management Accounting 1: A Business Decision Emphasis
What you learn (15)
- explain how businesses operate and make decisions
- describe the role of management accounting in business decisions
- explain how management accounting supports financial reporting
- distinguish management accounting from financial accounting
- relate management accounting concepts to short-term and strategic decisions
- define key cost accounting terms and methods
- explain the rationale for classifying costs
- relate cost accounting concepts to business decision-making
- apply management accounting techniques to short-term business decisions
- define inventory management concepts and techniques
- explain how inventory management methods inform business decisions
- apply management accounting techniques to long-term strategic decisions
- apply flexible budgeting and standard costing techniques to business scenarios
- calculate and interpret cost and revenue variances
- evaluate problems associated with budgeting and performance management
- Mathematics 1
What you learn (18)
- communicate mathematical ideas using sets, functions, relations and groups
- identify the components of a mathematical statement such as hypotheses and conclusions
- construct valid proofs using direct argument, induction, contradiction or counterexample
- solve equations and inequalities across number systems and geometric settings
- solve differential equations using algebraic and calculus techniques
- define groups and subgroups and recognise their properties
- perform group operations using cycle notation for permutation groups
- calculate the order of groups and elements using Lagrange's theorem
- derive derivatives and integrals from first principles using limits
- relate differentiation and integration through the fundamental theorem of calculus
- compute derivatives of scalar and vector functions using standard rules
- compute integrals using substitution, parts and other standard methods
- apply calculus techniques to solve optimisation and geometric measurement problems
- perform matrix and vector operations in three-dimensional space
- model real-world problems using mathematical tools and interpret the solutions
- extract key concepts and methods from independent reading of mathematical texts
- present mathematical arguments in writing with precise notation and clear conclusions
- collaborate with peers to discuss and solve mathematical problems
- Statistics 1Y: Introduction to Statistics: Learning from Data
What you learn (18)
- explain why natural variation occurs in data
- explain basic probability concepts such as sample space and event
- explain conditional probability and statistical independence
- explain the concept of a random variable and its probability distribution
- describe standard discrete probability distributions
- describe standard continuous probability distributions
- identify appropriate applications of standard probability distributions
- use statistical tables to find Normal distribution values
- use statistical tables to find chi-squared distribution values
- define population, sample, parameter and estimate
- distinguish between different common types of statistical data
- display different data types using suitable graphical methods
- explain why interval estimates are useful for unknown parameters
- interpret interval estimates correctly
- interpret the results of hypothesis tests
- check the assumptions underlying basic statistical procedures
- evaluate how violated assumptions affect the reliability of statistical results
- apply statistical methods using a programming language
- Statistics 1Z: Data Modelling in Action
What you learn (17)
- perform hypothesis tests on continuous data
- calculate interval estimates for continuous data
- interpret results of hypothesis tests and interval estimates
- use statistical tables for normal and t-distributions
- distinguish between paired and independent data
- identify paired and independent data in practical examples
- calculate the sample correlation coefficient between two variables
- interpret the sample correlation coefficient
- fit a linear regression line to data
- construct interval estimates for correlation and regression parameters
- carry out hypothesis tests for correlation and regression parameters
- explain correlation and regression results in non-technical language
- explain why checking model assumptions matters
- outline statistical modelling strategies across application domains
- interpret output from simple statistical models
- explain the calculation procedures underlying simple statistical models
- perform calculations for simple statistical model examples
Year 2 · 9 core · 120 credits ≈ 1,200 hours
- Financial Accounting 2
What you learn (7)
- prepare an income statement for a simple group of companies
- prepare a statement of financial position with supporting notes for a simple group
- prepare a statement of cash flows with accompanying notes for an organisation
- identify financial accounting issues within practical scenarios
- select appropriate accounting principles and techniques to resolve accounting problems
- evaluate competing theories underlying financial reporting practice
- critique alternative approaches to key accounting issues
- Management Accounting 2: Organisational Performance
What you learn (14)
- explain how globalisation and competition affect organisational operations
- relate management accounting concepts to the global business context
- use financial data to assess organisational performance
- use non-financial data to manage organisational performance
- apply cost management techniques to control organisational operations
- apply management accounting approaches to support strategic decision-making
- apply performance measurement methods across different organisational types
- apply costing methods to determine production costs in varied contexts
- apply pricing strategies for products across different organisational settings
- evaluate how technological advances influence management accounting practice
- evaluate how sustainability concerns reshape the management accountant's role
- evaluate the behavioural effects of management accounting practices on individuals
- evaluate the organisational and social consequences of management accounting practices
- collaborate with peers to produce a joint coursework submission
- Introductory Economics
What you learn (8)
- apply economic models to analyse markets and agents
- use economic analysis techniques to solve problems
- analyse firm input and output choices across market types
- explain the foundations and role of consumer demand
- define key economic concepts and indicators
- analyse the government's role in the economy
- analyse how external shocks affect the economy
- construct coherent arguments grounded in general principles
- Mathematics 2A: Multivariable Calculus
What you learn (14)
- sketch three-dimensional surfaces using cross-sections and contour lines
- apply the chain rule to differentiate partial derivatives
- determine stationary points of multivariable functions
- apply Lagrange multipliers to solve constrained optimisation problems
- state the definitions of divergence, gradient and curl operators
- apply vector differential operators to solve problems
- compute signed volume under a surface via double integration
- determine integration limits for a given domain
- change the order of integration and apply jacobian-based variable substitution
- compute line integrals along curves
- parametrise surfaces and compute surface integrals
- apply Green's theorem to evaluate closed line integrals
- state key mathematical definitions, results and formulae from lectures
- apply lecture results and formulae to solve new problems
- Mathematics 2B: Linear Algebra
What you learn (18)
- state fundamental properties of matrices and their operations
- apply matrix operations and symbolic manipulation to solve problems
- determine whether a given set forms a vector subspace
- determine whether a set of vectors is linearly independent
- describe the span of a set of vectors
- determine whether a map between vector spaces is linear
- derive the matrix representation of a linear map for given bases
- calculate a matrix determinant using cofactor expansion
- prove properties of determinants under row or column operations
- derive the characteristic polynomial of a square matrix
- compute eigenvalues and eigenvectors of a matrix
- apply eigenvalues and eigenvectors to solve problems
- derive the quadratic form associated with a symmetric matrix
- determine the rank and signature of a symmetric matrix
- diagonalise a symmetric matrix
- apply the Gram-Schmidt process to construct an orthonormal basis
- state key definitions and theorems covered in the module
- apply covered theorems and definitions to solve problems
- Mathematics 2C: Introduction To Real Analysis
What you learn (15)
- negate statements containing logical quantifiers
- identify hypothesis and conclusion in a conditional statement
- derive converse, contrapositive and equivalent forms of a conditional statement
- determine whether a function is bounded or unbounded
- prove a sequence's limit using the formal epsilon definition
- calculate limits of sequences using algebraic and order properties
- prove whether a sequence, including recursively defined ones, is monotonic
- use subsequences to demonstrate that a sequence fails to converge
- classify a sequence as convergent or divergent
- determine continuity of a function from the formal definition
- apply sequential criteria to show a function is discontinuous
- state definitions and theorems covered in lectures
- apply lecture theorems and results to solve mathematical problems
- reproduce proofs of key results presented in lectures
- adapt known proof techniques to novel mathematical problems
- Mathematics 2D: Mathematical Methods and Modelling
What you learn (7)
- analyse dynamical systems with one dependent variable using ODE models
- construct phase portraits for single-variable dynamical systems
- solve linear autonomous ODE systems using matrix exponentials
- compute Fourier series and Fourier and Laplace transforms
- apply transform properties to simplify and solve differential equations
- state key definitions, results and formulae taught in the module
- apply taught formulae and methods to solve new problems
- Mathematics 2E: Mechanics
What you learn (15)
- predict functional dependence using dimensional analysis
- calculate tangent vectors and arc-length of parametric curves
- sketch parametric curves
- describe particle motion using polar, cylindrical and spherical coordinates
- solve differential equations to determine particle motion
- define linear momentum, impulse and force
- apply momentum, impulse and force concepts in calculations
- construct models of mechanical systems to predict future states
- define energy, work and power in physical contexts
- apply energy, work and power concepts to physical situations
- compute projectile motion and motion under hooke's law
- determine appropriate lagrangians for mechanical systems
- derive and solve equations of motion using least action principle
- state key definitions, results and formulae from lectures
- apply lecture formulae to solve mechanics problems
- Mathematics 2F: Groups, Transformations and Symmetries
What you learn (14)
- classify a function as injective, surjective or bijective
- construct examples illustrating each function type
- state the formal definitions of a group and a subgroup
- prove and apply lagrange's theorem to group problems
- prove that conjugacy forms an equivalence relation in a group
- apply conjugacy relations to solve group theory problems
- produce examples of fields and determine whether a set forms a vector space
- compute the matrix representation of a linear transformation for a fixed basis
- relate two bases using a change of basis matrix
- construct the symmetry group of a regular n-gon
- state key definitions and theorems covered in the module
- apply stated definitions and theorems to solve problems
- prove results presented during the course
- adapt established proof techniques to new problem situations
Year 3 · 5 core
“What you learn” restates each module’s published learning outcomes in our own words, as short skill statements in the same form as the GCSE and A level curriculum, with the help of an AI model; fields of knowledge follow the twelve fields of the knowledge sphere. The university’s module page, linked from each title, is the authoritative description.
After graduating
Where does it lead?
£30,500median pay three years after graduating
Lower quarter£24k
Median£31k
Upper quarter£36k
Median — the middle earner: half earned more, half less. Pay is for graduates of this subject at this university who finished in 2016-18, not adjusted for inflation; based on 90 graduates.
Discover Uni dataset (HESA and Office for Students, CC BY 4.0, contains HESA data); earnings from the Longitudinal Education Outcomes data (Department for Education) · aggregation level 13, 24, 23
Half of graduates earned between £23,500 and £36,000. Five years on, the median is £38,000. 85% were in work or further study 15 months after finishing; 75% of those in work were in professional or managerial jobs.
All outcome figures7
| Measure | Value | Based on |
|---|---|---|
| Continue after year 130% left | 65% | 15 |
| In work or study, 15 months on10% studying | 85% | 25 |
| Professional or managerial job | 75% | 15 |
| Pay 15 months on, median | £30,000 | 15 |
| Pay 3 years on, median | £30,500 | 90 |
| Pay 5 years on, median | £38,000 | 90 |
National Student Survey 2025-26
What do students say?
74%agreed the course was good overall (question 26)
NSS — a yearly survey of final-year students at every UK university; 66% of this course’s final year answered. Small groups can swing a lot year to year.
National Student Survey, via Discover Uni · 70 students answered
Highest: 95% agreed on question 3; lowest: 68% on question 24.
All questions26
| Question | Agree |
|---|---|
| Question 1 | 92% |
| Question 2 | 81% |
| Question 3 | 95% |
| Question 4 | 95% |
| Question 5 | 86% |
| Question 6 | 91% |
| Question 7 | 78% |
| Question 8 | 72% |
| Question 9 | 78% |
| Question 10 | 82% |
| Question 11 | 93% |
| Question 12 | 82% |
| Question 13 | 80% |
| Question 14 | 75% |
| Question 15 | 87% |
| Question 16 | 82% |
| Question 17 | 80% |
| Question 18 | 78% |
| Question 19 | 82% |
| Question 20 | 86% |
| Question 21 | 95% |
| Question 22 | 94% |
| Question 23 | 80% |
| Question 24 | 68% |
| Question 25 | 77% |
| Question 26 | 74% |
Question texts are published by the Office for Students; the dataset carries only the question numbers.
Modules, entry requirements and fees are facts read from University of Glasgow’s course page on 2026-09-19 and may change; the university’s page is authoritative. Descriptions are not reproduced. Outcome figures are from the Discover Uni dataset. University of Glasgow is a trade mark of the university; sch.today is independent of it.