Why this course?
This joint degree is offered in partnership with Strathclyde Business School.
You’ll develop mathematical and statistical expertise at the same time as broadening your skills in the largest business school in Scotland (and one of the largest in Europe).
There is a strong emphasis on statistical techniques in data analysis and on the use of mathematical models.
Our course focuses on the application of mathematics to solve practical problems while statistics is used to explain the uncertain world we live in.
Our flexible degree structure enables transfer between courses.
What you’ll study
The BSc (Honours) degree is a four-year programme. Each year contains compulsory classes and some years contain either optional classes, which relate to different areas of mathematics, and/or elective classes from other subject areas in the University.
Mathematics & Statistics account for at least half of each course, with the remainder devoted to Economics. You’ll be able to choose the particular areas of Mathematics, Statistics, or Economics you want to specialise in.
Years 1 & 2
In addition to the study of core mathematical methods, you’ll study applied analysis, mechanics, numerical analysis and statistics.
Years 3 & 4
The Honours-year project may be in Economics or Mathematics, or Statistics.
Topics offered in Maths Honours-year classes include the mathematics of financial derivatives, mathematical modelling in biology and medicine, statistical modelling & analysis, and the mathematics of networks.
Economics options include Econometrics, Econometric Theory, Macroeconomics, Microeconomics, Health Economics, Industrial Economics, Economics of Competitive Strategy.
You’ll have access to well-equipped, modern computing laboratories and teaching rooms, as well as 24-hour access to an advanced computer information network and a sophisticated virtual e-learning environment. We have also an undergraduate common room which gives you a modern and flexible area that's used for individual and group study work, and is also a relaxing social space.
High Flyer Programme
Well-qualified applicants with appropriate A Levels and Advanced Highers will be admitted to the Faculty of Science prestigious 'High Flyer' Programme, which allows students to complete an Honours degree in three years and an Integrated Masters degree in four. If you are studying the relevant subjects you may receive a dual offer, specifying grades to direct entry to Year 2 as a High Flyer and also standard Year 1 entry.
Find out more about our High Flyer Programme.
Current students are taking the following classes, and we expect the syllabus to be similar to this in future years.
In addition to the classes below, you're required to take an elective class.
Introduction to Calculus
You'll study the basic concepts and standard methods of mathematical notation and proof, polynomial equations and inequalities, sequences and series, functions, limits and continuity, differentiation and integration.
Applications of Calculus
Geometry & Algebra with Applications
The fundamental concepts of calculus (differentiation and integration) presented in Applications of Calculus will be examined in more detail, extended to a larger class of functions by means of more sophisticated methods, including an introduction to complex numbers and variables, all demonstrated in application to practical problems including solving basic first and second-order differential equations.
Statistics & Data Presentation
This class will introduce you to vectors and matrices, along with the idea of mathematical modelling through their application to real-world problems.
Introduction to Economics
Some basic ideas and techniques of statistics will be presented while introducing some essential study skills, allowing you to develop and practice personal and technical skills eg self-study, teamwork, analysing data, writing reports and making presentations.
The purpose of this class is to provide the student with a balanced introduction to economics which will be at once self-contained and lay the foundation for further work. The work of the class will be based on a programme of systematic directed reading, supplemented by tutorials, case-problems and short answer test questions. The main topics covered by the class will include:
- the nature, central problems and significance of economics
- supply and demand and an introduction to the theory of the firm
- the nature of and solutions to market failure
- income determination
- prices and money
- fiscal and monetary policy
- the functioning of the mixed economy
- the economic role of government
Linear Algebra & Differential Equations
This class will introduce you to the basic ideas of linear algebra, such as matrices and determinants, vector spaces, bases, eigenvalues and eigenvectors. You'll study various standard methods for solving ordinary differential equations and understand their relevance.
Probability & Statistical Inference
Basic ideas, techniques and results for calculus of two and three variables, along with differentiation and integration over curves, surfaces and volumes of both scalar and vector fields will be presented.
Mathematical & Statistical Computing
Presentation of the basic concepts of probability theory and statistical inference will be covered to provide you with the tools to appropriately analyse a given data set and effectively communicate the results of such analysis.
This class will introduce you to the R computing environment. It'll enable you to use R to import data and perform statistical tests, allow you to understand the concept of an algorithm and what makes a good algorithm and will equip you for implementing simple algorithms in R.
Intermediate Macroeconomics & Data Analysis
This is the core microeconomics class in second year. It aims to develop students’ understanding of: the concepts of consumer choice; the motives of the firm and profit maximisation; the market and its role in achieving equilibrium prices and quantities; and the implications of market power. It will introduce to students to mathematical techniques commonplace in economics, giving them the ability to apply these in a wider economic context.
The class builds upon the macroeconomic foundations established in the first year Economics class and both extends and deepens analysis. In particular this class will develop students’ ability to use key models used to analyse the determination of output in the short-run and in the medium-run. We will also cover some topics in the analysis of economic data including correlation and simple regression.
Topics in Microeconomics with Cross Section Econometrics
Topics in Macroeconomics with Time Series Econometrics
This class builds on the conceptual framework of Microeconomics 2 by introducing students to market imperfections through the lens of game theory. Game theory is an analytical toolbox that allows us to understand decision making in strategic environments and the class will provide students with a foundation in game theoretic reasoning.
Thereafter, this class will study how market imperfections create a role for Government in markets. In doing so, we will investigate topics including taxation, education, and crime and punishment. This class will also look to explore some of these ideas empirically using cross section data. These empirical methods will open up a new route for students to understand the key taught economic ideas in a real world context.
The overarching aims of this class are: to extend students' knowledge and understanding of core macroeconomic models and of the econometric methods used to analyse macroeconomic data; and to develop their ability to apply these models and methods to address some key questions in macroeconomics. The class covers: economic growth; expectations, demand and policy; Europe: past, present, and future; and policy rules versus discretion. In addition, econometric methods covered include: regression; unit root testing; modelling volatility; cointegration and error correction.
Inference & Regression Modelling
We'll introduce you to analytical methods for solving ordinary and partial differential equations so you'll develop an understanding along with technical skills in this area.
This class will:
- review the concepts of probability distributions and how to work with these
- present approaches to parameter estimation, focusing on maximum likelihood estimation, bootstrap estimation, and properties of estimators
- present hypothesis testing procedures, including classical likelihood ratio tests and computer-based methods for testing parameter values, and goodness-of-fit tests.
- introduce and provide understanding of the least squares multiple regression model, general linear model, transformations and variable selection procedures
- present use of R functions for regression and interpretation of R output
Complex Variables & Integral Transforms
This class will introduce functions of a complex variable, define concepts such as continuity, differentiability, analyticity, line integration, singular points, etc. It'll examine some important properties of such functions, and consider some applications of them, eg conformal mappings, and the evaluation of real integrals using the Residue Theorem. It'll also introduce you to Fourier and Laplace transform methods for solving linear ordinary differential equations and convolution type integral equations.
Here we'll introduce basic algebraic structures, with particular emphasis on those pertaining to finite dimensional linear spaces and deepen your understanding of linear mappings. We'll also provide an introduction to inner product spaces and bilinear forms.
Stochastics & Financial Econometrics
This module will motivate the need for numerical algorithms to approximate the solution of problems that can't be solved with pen and paper. It'll develop your skills in performing detailed analysis of the performance of numerical methods and will continue to develop your skills in the implementation of numerical algorithms using R.
You'll be introduced to the basic concepts of random phenomena evolving in time, from two complementary points of view: probabilistic modelling and data-driven analysis. Presentation of underlying ideas of simple stochastic processes, time series models, and the associated probability theory and statistical techniques will be covered. In addition to applications of the methods to financial and economic systems, including modelling, data analysis, and forecasting.
You'll choose between a Mathematics & Statistics project and an Economics project.
Communicating Mathematics & Statistics
This class provides you with experience of the skills required to undertake project work, and to communicate the findings in written and oral form using a variety of sources, such as books, journals and the internet.
Optional classes - list A
Statistical Modelling & Analysis
Applied Statistics in Society
This class will provide you with a range of applied statistical techniques that can be used in professional life.
You'll be introduced to a range of modern statistical methods and practices used in industry, commerce and research, and will develop skills in your application and presentation.
Modelling & Simulation with Applications to Financial Derivatives
This class will cover the fundamental statistical methods necessary for the application of classical statistical methods to data collected for health care research. There will be an emphasis on the use of real data and the interpretation of statistical analyses in the context of the research hypothesis under investigation. Software packages such as Minitab will be introduced.
An introduction to ideas in mathematics and statistics that can be used to model real systems, with an emphasis on the valuation of financial derivatives. The class places equal emphasis on deterministic analysis (calculus, differential equations) and stochastic analysis (Brownian motion, birth and death processes). In both cases, in additional to theoretical analysis, appropriate computational algorithms are introduced. The first half of the class introduces general modelling and simulation tools, and the second half focuses on the specific application of valuing financial derivatives, including the celebrated Black-Scholes theory.
In the third year econometrics class the student will have learned about regression in both a cross-sectional data and time series data context. This class extends that knowledge in three ways.
First, for cross-sectional data, the class deals with regression techniques where the dependent variable may be restricted or limited in some way. In such cases, the regression model as taught in the third year class is not appropriate; EC413 develops models which are similar in spirit to the standard regression model, but can handle all of these cases.
A second purpose of Applied Econometrics is to develop regression methods which can be used when you have panel data - consisting of both cross-sectional and time-series dimensions.
Third, the class will build on the introduction to the econometrics of time series data developed in a previous class by developing two classes of models. One class consists of models that can accommodate multiple long run equilibrium relationships among a set of possibly non-stationary variables. A second class consists of methods for modelling volatility.
Risk and uncertainty are ubiquitous in everyday life and they affect the way in which economic agents make their choices. This course will start analysing how modern economic theory deals with uncertainty and the way in which individuals makes their decisions under uncertainty. Attitude towards risk, decision-making under uncertainty, the role of insurance and financial markets will be covered in the first part of the course.
The second part will present the foundation of the Economics of Information. Building on the first part of this course and on the game theoretic framework covered in Microeconomics 3, the study of Economics of Information will provide tools for the analysis of economic situations and contracting issues when either monitoring is imperfect or information is asymmetric.
This class is intended to show how economic theory can be used to analyse individual behavior when information is not complete and decisions are risky. In particular, it will be applied to economic and business problems but also social interaction issues. In addition, the relevance of incentives and information in many economic environments will be highlighted, with particular emphasis on situations in which moral hazard and adverse selection problems arise.
This course is useful in enhancing students’ understanding of other modules and will be of particular use in students’ dissertations. Moreover, students will gain key skills in strategic thinking and the analysis of information asymmetries that will be useful both in further study and employment.
This class aims to provide students with the required tools to understand current macroeconomic issues, such as: the interactions between the banking sector and monetary policy; or the policy responses to the global financial crisis. Throughout the class the analytical usefulness of the theoretical models taught is illustrated with real-world examples.
This course will examine fundamental topics in Labour Economics. The primary goal is for you to learn how economists view the world of work and pay. The focus is on applications rather than theory. Topics include human capital and signaling, discrimination, the effect of technology on the wage structure, and income inequality. Along the way, you will gain insights into data analysis and empirical methods. These are highly marketable skills that tend to be entry requirements for consulting jobs, government work, and many other sectors.
Optional classes - list B
Modelling & Simulation with Applications to Financial Derivatives
Applicable Analysis 3
Here you'll get an introduction to ideas in mathematics and statistics that can be used to model real systems, with an emphasis on the valuation of financial derivatives. This module places equal emphasis on deterministic analysis (calculus, differential equations) and stochastic analysis (Brownian motion, birth and death processes). In both cases, in addition to theoretical analysis, appropriate computational algorithms are introduced. The first half of the class introduces general modelling and simulation tools, and the second half focuses on the specific application of valuing financial derivatives, including the celebrated Black-Scholes theory.
Fluids & Waves
This class will present the main results in Functional Analysis, give an introduction to linear operators on Banach and Hilbert spaces and study applications to integral and differential equations.
Finite Element Methods for Boundary Value Problems & Approximation
You'll be introduced to the theory of Newtonian fluids and its application to flow problems and the dynamics of waves on water and in other contexts.
Mathematical Biology & Marine Population Modelling
You'll be presented with the basic theory and practice of finite element methods and polynomial and piecewise polynomial approximation theory.
Mathematical Introduction to Networks
Here you'll learn the application of mathematical models to a variety of problems in biology, medicine, and ecology. It'll show the application of ordinary differential equations to simple biological and medical problems, the use of mathematical modelling in biochemical reactions, the application of partial differential equations in describing spatial processes such as cancer growth and pattern formation in embryonic development, and the use of delay-differential equations in physiological processes. The marine population modelling element will introduce the use of difference models to represent population processes through applications to fisheries, and the use of coupled ODE system to represent ecosystems. Practical work will include example class case studies that will explore a real-world application of an ecosystem model.
This class will demonstrate the central role network theory plays in mathematical modelling. It'll also show the intimate connection between linear algebra and graph theory and how to use this connection to develop a sound theoretical understanding of network theory. Finally, it'll apply this theory as a tool for revealing structure in networks.
Optional classes - list C
This course will investigate the actions firms can take in markets with the aim of maintaining their market power by deterring entry of additional firms. A modern approach recognises that each firm faces competing firms who all have similar motives.
After briefly reviewing industry market structures to provide the basis of the analysis, issues of entry deterrence will be considered, including the role of advertising, issues associated with research and development, anti-trust and both vertical integration and horizontal mergers. The course will conclude with an investigation of regulatory measures that can be put in place to limit anti-competitive strategies, and consider the role of competition policy.
Natural Resource and Environmental and Energy Economics
In Mathematics & Statistics, knowledge, understanding and subject-specific skills are assessed by coursework, assignment, reports, presentations and written examinations.
In Economics, the majority of classes involve formal written exams, business reports, case studies, essays, presentations, individual and group projects, learning journals and peer assessments.
In some cases, students can get exemption from the final exam where they meet attendance and assessment requirements.
Students normally have one opportunity to be re-assessed for a failed class. For unseen exams, these normally takes place during the summer.
Learning & teaching
The following teaching methods are used in Mathematics & Statistics: lectures (using a variety of media including electronic presentations and computer demonstrations), tutorials, coursework and projects.
You’ll also learn through group work in problem solving and student presentations.
Economics is taught over two semesters. Diverse learning methods are used, including lectures, tutorials, and seminars alongside student-centred methods such as team-based action learning projects, online materials, and interactive sessions using personal response systems.
Our business partners are often involved in the teaching and/or assessment of student presentations.
On completion of the programme, you’ll be able to:
- demonstrate knowledge of the main areas of mathematics, statistics and economics
- shown an understanding of the principle mathematical and accounting theories and a critical understanding of one or more specialised areas
- demonstrate skills in calculation
- develop and evaluate logical arguments, presenting them and their conclusions clearly and accurately
- record and summarise transactions accurately and prepare financial statements that meet relevant regulatory requirements
- analyse the operations of a business and perform financial analyses and projections
- demonstrate a range of problem solving skills e.g. abstracting the essentials of problems, formulating them and finding appropriate solutions
- undertake a critical analysis of data and draw conclusions from the data
- demonstrate a range of appropriate general skills including IT competency
Required subjects are indicated following minimum accepted grades.
Year 1 entry: AABB or ABBBC (Maths A, English C, Advanced Higher Maths recommended)
Year 2 entry: AAB (including Maths A and Accounting or Economics A)
Year 1 entry: BBB (Maths B, GCSE English Language 6/B OR English Literature 6/B)
Typical entry requirements: ABB (Maths A, GCSE English Language 6/B OR English Literature 6/B)
Year 2 entry: ABB (Maths A, Business subject A, GCSE English Language 6/B OR English Literature 6/B)
Typical entry requirements: AAA (Maths A, Business subject A, GCSE English Language 6/B OR English Literature 6/B)
Year 1 entry: 32
Year 2 entry: 34 (Maths HL6, English SL6)
Year 1 entry: relevant HNC with strong mathematical content, B in Graded Unit; Year 2 entry: not offered
We want to increase opportunities for people from every background. Strathclyde selects our students based on merit, potential and the ability to benefit from the education we offer. We look for more than just your grades. We consider the circumstances of your education and will make lower offers to certain applicants as a result.
Find out if you can benefit from this type of offer.
Find out entry requirements for your country.
Degree preparation course for international students
We offer international students (non EU/UK) who do not meet the entry requirements for
an undergraduate degree at Strathclyde the option of completing an Undergraduate Foundation year programme at the University of Strathclyde International Study Centre.
Upon successful completion, you will be able to progress to this degree course at the
University of Strathclyde.
Fees & funding
How much will my course cost?
Rest of UK
Assuming no change in Rest of UK fees policy over the period, the total amount payable by undergraduate students will be capped. For students commencing study in 2017/18, this is capped at £27,750 (with the exception of the MPharm and Integrated Masters courses); MPharm students pay £9,250 for each of the four years. Students studying on Integrated Masters degree programmes pay an additional £9,250 for the Masters year with the exception of those undertaking a full-year industrial placement where a separate placement fee will apply.
University preparation programme fees
International students can find out more about the costs and payments of studying a university preparation programme at the University of Strathclyde International Study Centre.
Mathematics & Statistics
Course materials & costs
Class materials (lecture notes and exercise sheets) for the majority of Mathematics & Statistics classes are available free to download. For some classes, students may need access to a textbook. Textbook costs are typically in the £20-60 price range. These prices are dependent on format (e-book, soft or hardback) and whether bought new or second hand.
PVG scheme (Protection of Vulnerable Groups)
Third-year Maths and Teaching students will need to pay for the full price of a PVG membership scheme.
£40 returnable deposit for PRS handsets.
Economics Students taking the BA degree in Economics incur no additional charges.
Please note: All fees shown are annual and may be subject to an increase each year. Find out more about fees.
How can I fund my studies?
Students from Scotland and the EU
If you're a Scottish or EU student, you may be able to apply to the Student Award Agency Scotland (SAAS) to have your tuition fees paid by the Scottish government. Scottish students may also be eligible for a bursary and loan to help cover living costs while at University.
For more information on funding your studies have a look at our University Funding page.
Students from England, Wales & Northern Ireland
We have a generous package of bursaries on offer for students from England, Northern Ireland and Wales
You don’t need to make a separate application for these. When your place is confirmed at Strathclyde, we’ll assess your eligibility.
Have a look at our scholarship search for any more funding opportunities.
International Students (Non UK, EEA)
We have a number of scholarships available to international students. Take a look at our scholarship search to find out more.
We have a wide range of scholarships available. Have a look at our scholarship search to find a scholarship.
Graduates in Mathematics & Statistics can enter a wide range of employment including manufacturing and service industries, the actuarial, accountancy and banking professions, commerce and government, consultancy and education.
Economists can work across many different industries and often go on to specialise in individual areas, such as agriculture and manufacturing.
Recent Economics graduates have gone on to work in accountancy and business services, retail and investment banking, insurance, government and industry.
Our graduates go on to become analysts, trainee actuaries, risk analysts, trainee Chartered Accountants and managers across a range of sectors
The course is also useful for those considering a general business career where strong financial skills are essential.
How much will I earn?
Your salary will depend on your individual role and the industry you work in.
The average salary for an economics graduate is £25,000 to £35,000.
With experience, actuaries can earn more than £60,000.*
*Information intended only as a guide.