BSc Hons Mathematics, Statistics & Economics


Key facts

  • UCAS Code: G1L1
  • Accreditation: triple-accredited Business School - AACSB, EQUIS, AMBA
  • Second year entry: available

    Part-time study: available

Study with us

  • focus on the application of mathematics to solve practical problems while statistics is used to explain the uncertain world we live in
  • develop mathematical and statistical expertise along with the opportunity to broaden your skills in business
  • economists with training in the use of mathematical models and techniques are in demand
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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 flexible degree structure enables transfer between courses.

THE Awards 2019: UK University of the Year Winner

What you'll study

The BSc (Honours) degree is a four-year programme. Each year contains compulsory modules and some years contain either optional modules, which relate to different areas of mathematics, and/or elective modules 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 probability & statistical inference, mathematical & statistical computing, microeconomics, and macroeconomics.

Years 3 & 4

You can choose from a range of Mathematics, Statistics and Economics modules from one or more specialist application areas.

The Honours-year project may be in Mathematics, Statistics or Economics.

Topics offered in Maths Honours-year modules include the mathematics of financial derivatives, mathematical modelling in biology and medicine, statistical modelling & analysis, and the mathematics of networks.

Economics options include econometrics, macroeconomics, microeconomics, health economics, labour economics, industrial economics, and environmental economics.

Study abroad

You'll have the opportunity to spend time studying abroad, normally in Year 3 of the course. We have links with European and non-European universities, which include:

  • University of Limerick, Republic of Ireland
  • Johannes Kepler University, Linz, Austria
  • Technical University of Denmark, Lyngby, Denmark
  • University of Toronto, Canada
  • Queen's University at Kingston, Canada
  • George Institute of Technology, USA
  • Swinburne University of Technology, Melbourne, Australia
  • University of Otago, New Zealand
  • Nanyang Technological University, Singapore
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Course content

Compulsory modules

Introduction to Calculus (20 credits)

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 (20 credits)

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. These will all be demonstrated in application to practical problems including solving basic first and second-order differential equations.  

Geometry & Algebra with Applications (20 credits)

This module will introduce you to vectors and matrices, along with the idea of mathematical modelling through their application to real-world problems.

Statistics & Data Presentation (20 credits)

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, for example, self-study, teamwork, analysing data, writing reports, and making presentations.

Introduction to Economics and Business Analysis & Technology (20 credits)

The module will provide you with a balanced introduction to economics which will be based on a programme of systematic directed reading, supplemented by experiments and exercises undertaken in tutorials. 

The module uses the innovative CORE (Curriculum Open-Access Resources in Economics) Econ resources, which provides a complete introduction to economics and the economy. CORE Econ teaches about the economy and economics by starting from a question or a problem about the economy - why the advent of capitalism is associated with a sharp increase in average living standards, for example - and then teach the tools of economics that contribute to an answer. This innovative approach ensures that students understand how the tools of economics can help us understand the modern economy. 

The second half of the module is the study of how analytical thinking, scientific method and associated tools can be used to help decision making. This Business Analysis element of the module will provide an overview of where methods and tools are widely used across a large range of industries including the manufacturing, retail, healthcare, financial services, travel, and electronics industries, as well as in local and national government. 

Examples of where Business Analysis is put into practice are: 

  • the management of new building projects
  • the design of efficient transport systems and plant layouts
  • personnel scheduling
  • allocation of resources and financial modelling and forecasting

This area of expertise can help to reduce costs, increase revenues, improve customer service, increase efficiency and can even save lives. 

Compulsory modules

Linear Algebra & Differential Equations (20 credits)

This module 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.

Advanced Calculus (20 credits)

This module will present 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.

Probability & Statistical Inference (20 credits)

This module will present the basic concepts of probability theory and statistical inference and provide you with the tools to appropriately analyse a given data set and effectively communicate the results of such analysis.

Mathematical & Statistical Computing (20 credits)

This module 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 Microeconomics (20 credits)

This module builds upon the macroeconomic foundations established in the first-year Economics module and both extends and deepens analysis. In particular, this module will develop your ability to use key models used to analyse the determination of output in the short run and in the medium run. We'll also cover some topics in the analysis of economic data including correlation and simple regression.

Intermediate Macroeconomics & Data Analysis (20 credits)

This module builds upon the macroeconomic foundations established in the first-year Economics module and both extends and deepens analysis. In particular, this module will develop your 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.

In Year 3 you'll study compulsory and optional modules totalling 120 credits.

Compulsory modules

Topics in Microeconomics with Cross Section Econometrics (20 credits)

This module builds on the conceptual framework of Intermediate Microeconomics by introducing you 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 this module will provide you with a foundation in game theoretic reasoning.

This module also studies how market imperfections create a role for government in markets. In doing so, we'll investigate topics including taxation, education, and crime and punishment. We'll also explore some of these ideas empirically using cross-section data. These empirical methods will open up a new route for you to understand the key taught economic ideas in a real-world context.

Topics in Macroeconomics with Time Series Econometrics (20 credits)

In this module, you'll extend your knowledge and understanding of core macroeconomic models and of the econometric methods used to analyse macroeconomic data and develop your ability to apply these models and methods to address some key questions in macroeconomics.

The module covers:

  • economic growth
  • expectations, demand and policy
  • Europe: past, present, and future
  • policy rules versus discretion

In addition, econometric methods covered include:

  • regression
  • unit root testing
  • modelling volatility
  • cointegration
  • error correction

Differential Equations (20 credits)

In this module 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.

Inference & Regression Modelling (20 credits)

This module 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

Optional modules

Complex Variables & Integral Transforms (20 credits)

This module will introduce functions of a complex variable, define concepts such as continuity, differentiability, analyticity, line integration, singular points, etc. You will examine some important properties of such functions and consider some applications of them, for example, conformal mappings and the evaluation of real integrals using the Residue Theorem. You will also be introduced to Fourier and Laplace transform methods for solving linear ordinary differential equations and convolution type integral equations.

Linear Algebra (20 credits)

In this module 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.

Numerical Analysis (20 credits)

This module will motivate the need for numerical algorithms to approximate the solution of problems that can’t be solved with pen and paper. You’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.

Stochastics & Financial Econometrics (20 credits)

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 (20 credits)

This module 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. You will undertake an individual research project, researching a mathematical or statistical topic and writing a short report on it.

Dissertation in Economics (20 credits)

You will write a dissertation on an aspect of economics.

Optional classes - list A

Statistical Modelling & Analysis (20 credits)

You will be provided with a range of applied statistical techniques that can be used in professional life. This module provides you with the fundamental principles of statistical modelling through experimental design and multivariate analysis.

Applied Statistics in Society (20 credits)

In this module you'll be introduced to a range of modern statistical methods and practices used in industry, commerce and research, and you will develop skills in your application and presentation.

Medical Statistics (20 credits)

This module 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.

Topics covered will include:

  • survival analysis
  • analysing categorical data using hypothesis tests
  • experimental Design and sampling
  • clinical measurement

Modelling & Simulation with Applications to Financial Derivatives (20 credits)

In this module, 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. The 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 module introduces general modeling and simulation tools, and the second half focuses on the specific application of valuing financial derivatives, including the celebrated Black-Scholes theory.

Applied Economics (20 credits)

In the third-year econometrics module, you will have learned about regression in both cross-sectional data and time series data contexts. This module extends that knowledge in three ways.

First, for cross-sectional data, the module 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 module is not appropriate; this module develops models that 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 that can be used when you have panel data - consisting of both cross-sectional and time-series dimensions.

Third, the module will build on the introduction to the econometrics of time series data studied previously 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 modeling volatility.

Advanced Microeconomics (20 credits)

Risk and uncertainty are ubiquitous in everyday life and they affect the way in which economic agents make their choices. This module will start analysing how modern economic theory deals with uncertainty and the way people make their decisions under uncertainty. Attitude towards risk, decision-making under uncertainty, and the role of insurance and financial markets will be covered in the first part of the module.

The second part will present the foundation of the Economics of Information. Building on the first part of this module and on the game theoretic framework covered in third-year microeconomics, 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 module is intended to show how economic theory can be used to analyse individual behaviour 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 module is useful in enhancing your understanding of other modules and will be of particular use for your dissertation. Moreover, you will gain key skills in strategic thinking and the analysis of information asymmetries that will be useful both in further study and employment.

Advanced Macroeconomics (20 credits)

This module aims to provide you 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 module, the analytical usefulness of the theoretical models taught is illustrated with real-world examples.

Labour Economics (20 credits)

This module 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 (20 credits)

In this module 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 module 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.

Applicable Analysis 3 (20 credits)

This module will present the main results in Functional Analysis. You will also be introduced to linear operators on Banach and Hilbert spaces and study applications to integral and differential equations.

Fluids & Waves (20 credits)

In this module 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.

Finite Element Methods for Boundary Value Problems & Approximation (20 credits)

In this module you'll be presented with the basic theory and practice of finite element methods and polynomial and piecewise polynomial approximation theory.

Mathematical Biology & Marine Population Modelling (20 credits)

In this module, you'll learn the application of mathematical models to a variety of problems in biology, medicine, and ecology. The module will 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
  • 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.

Mathematical Introduction to Networks (20 credits)

This module 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

Industrial Economics (20 credits)

This module will investigate the actions firms can take in markets with the aim of maintaining their market power by deterring the entry of additional firms. A modern approach recognises that each firm faces competing firms that 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 module 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.

Behavioural Economics (20 credits)

Behavioural Economics offers alternative theories that merge psychological insights with economic theory and are based on experimental and other evidence. These theories attempt to provide a better explanation of real-world behaviour.

This module is concerned with exploring these behavioural theories with the aim of providing you with an expanded toolkit with which to approach ‘real-world Economics’ that is based on the burgeoning Behavioural Economics literature that has emerged over the past two or three decades. You will then be able to extend much of your previously learned knowledge in microeconomics in various directions that take into account more realistic ways of modelling how individuals behave.

Natural Resource and Environmental and Energy Economics (20 credits)

This module will provide you with an introduction to Natural Resource Economics, Environmental Economics, and Energy Economics, establishing connections between the economics and the policy aspects of the module topics. It focuses on the contributions of Economics to understanding environmental, energy, and natural resource problems, their causes, and the design of effective public policies to counteract them.

Learning & teaching

We use the following teaching methods in mathematics and 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. Learning methods used include lectures, tutorials, and seminars alongside student-centered methods like 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.

When you complete 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, for example, 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


In Mathematics & Statistics, knowledge, understanding, and subject-specific skills are assessed by coursework, assignments, reports, presentations, and written examinations.

In Economics, the majority of modules 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 an exemption from the final exam where they meet attendance and assessment requirements.

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Entry requirements

Required subjects are shown in brackets.


Standard entry requirements*:

Year 1 entry: AABB/ABBBC

(Maths A, English C, Advanced Higher Maths recommended)

Minimum entry requirements**:

BBBB (including Maths at B, English at C and 70% in Strathclyde Summer School Mathematics)



(Maths A, English C)

Advanced Highers

Year 2 entry: AAB

(including Maths A and Accounting or Economics A)

A Levels

Standard entry requirements*:

Year 1 entry: BBB

(Maths, GCSE English Language 6/B or English Literature 6/B)

Year 2 entry: ABB

(Maths A, business subject B, GCSE English Language 6/B or English Literature 6/B)

International Baccalaureate

Standard entry requirements*:

Year 1 entry: 30

(Mathematics HL5, English SL6)

Year 2 entry: 32

(Mathematics HL6, English SL6)


Year 1 entry: relevant HNC with strong mathematical content, B in Graded Unit, plus Higher Maths at A or 70% in Strathclyde Summer School Mathematics

International students

View the entry requirements for your country.

Deferred entry


*Standard entry requirements

Offers are made in accordance with specified entry requirements although admission to undergraduate programmes is considered on a competitive basis and entry requirements stated are normally the minimum level required for entry.

Whilst offers are made primarily on the basis of an applicant meeting or exceeding the stated entry criteria, admission to the University is granted on the basis of merit, and the potential to succeed. As such, a range of information is considered in determining suitability.

In exceptional cases, where an applicant does not meet the competitive entry standard, evidence may be sought in the personal statement or reference to account for performance which was affected by exceptional circumstances, and which in the view of the judgement of the selector would give confidence that the applicant is capable of completing the programme of study successfully.

**Minimum entry requirements

Find out if you can benefit from this type of offer.

The Department of Mathematics & Statistics

At the heart of the Department of Mathematics & Statistics is the University’s aim of developing useful learning. Our research emphasises how mathematics and statistics can be applied in the real world and have societal impact. We're an applied department with many links to industry and government, bridging the gap between academia and real life. Many of the academic staff hold joint appointments with, or are funded by, other organisations, such as:

  • APHA
  • Public Health and Intelligence (Health Protection Scotland)
  • NHS Greater Glasgow and Clyde
  • the Marine Alliance for Science and Technology Scotland (MASTS)
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Contextual Admissions for Widening Access

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.

University preparation programme for international students

We offer international students (non-UK/Ireland) who do not meet the academic entry requirements for an undergraduate degree at Strathclyde the option of completing an Undergraduate Foundation Programme in Business and Social Sciences at the University of Strathclyde International Study Centre. ​

Upon successful completion, you can progress to your chosen degree at the University of Strathclyde.

International students

We've a thriving international community with students coming here to study from over 140 countries across the world. Find out all you need to know about studying in Glasgow at Strathclyde and hear from students about their experiences.

Visit our international students' section

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Fees & funding

All fees quoted are for full-time courses and per academic year unless stated otherwise

Fees may be subject to updates to maintain accuracy. Tuition fees will be notified in your offer letter.

All fees are in £ sterling, unless otherwise stated, and may be subject to revision.

Annual revision of fees

Students on programmes of study of more than one year (or studying standalone modules) should be aware that tuition fees are revised annually and may increase in subsequent years of study. Annual increases will generally reflect UK inflation rates and increases to programme delivery costs.

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  • 2024/25: TBC
  • 2023/24: £1,820

Fees for students who meet the relevant residence requirements in Scotland are subject to confirmation by the Scottish Funding Council. Scottish undergraduate students undertaking an exchange for a semester/year will continue to pay their normal tuition fees at Strathclyde and will not be charged fees by the overseas institution.

England, Wales & Northern Ireland


Assuming no change in fees policy over the period, the total amount payable by undergraduate students will be capped. For students commencing study in 2024/25, this is capped at £27,750 (with the exception of the MPharm and integrated Masters programmes), 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.



Additional costs

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 to £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.


Course materials

Course materials comprise both textbooks and course handbooks. All of the compulsory handbooks are available to students free on the Virtual Learning Environment (VLE). Some classes may have a recommended core textbook which you may wish to purchase but copies will be available in the University Library.

Other costs

  • dissertation print & binding costs
  • graduation gown hire

Visa & immigration

International students may have associated visa and immigration costs. Please see student visa guidance for more information.

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.

Available scholarships

Take a look at our scholarships search for funding opportunities.

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?

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Students from Scotland

Fees for students who meet the relevant residence requirements in Scotland, 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.

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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. Take a look at our scholarships search for funding opportunities.

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International Students

We have a number of scholarships available to international students. Take a look at our scholarship search to find out more.

Glasgow is Scotland's biggest & most cosmopolitan city

Our campus is based right in the very heart of Glasgow. We're in the city centre, next to the Merchant City, both of which are great locations for sightseeing, shopping and socialising alongside your studies.

Life in Glasgow

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Graduates in mathematics and statistics can enter a range of jobs 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
  • industry

Our graduates go on to become:

  • analysts
  • trainee actuaries
  • risk analysts
  • trainee Chartered Accountants
  • managers across a range of sectors

This course is also useful for those considering a general business career where strong financial skills are essential.

How much will I earn?

The median salary of a mathematical sciences graduate in full-time work one year after graduating is £29,000 (compared with the graduate average of £26,000), rising to £37,600 after five years (30% greater than the graduate average of £28,800). The median salary of an economics graduate five years after graduation is £44,200 (based on information in graduate outcome surveys from and Gov.UK).

Salary potential depends on the industry you choose to work in. With experience, actuaries can earn more than £70,000, and investment analysts can earn up to £100,000 plus bonuses (based on information from, September 2023).

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Start date:

Mathematics, Statistics & Economics (1 year entry)

Start date:

Mathematics, Statistics & Economics (2 year entry)

Start date:

Mathematics, Statistics & Economics (1 year entry)

Start date: Sep 2024

Mathematics, Statistics & Economics (2 year entry)

Start date: Sep 2024

UCAS Applications

Apply through UCAS if you are a UK applicant. International applicants may apply through UCAS if they are applying to more than one UK University.

Apply now

Direct Applications

Our Direct applications service is for international applicants who wish to apply to Strathclyde University at this time.

Apply now

Start date: Sep 2024

Mathematics, Statistics & Economics (1 year entry)

Start date: Sep 2024

UCAS Applications

Apply through UCAS if you are a UK applicant. International applicants may apply through UCAS if they are applying to more than one UK University.

Apply now

Direct Applications

Our Direct applications service is for international applicants who wish to apply to Strathclyde University at this time.

Apply now

Start date:

Mathematics, Statistics & Economics (1 year entry)

Start date:

Mathematics, Statistics & Economics (2 year entry)

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Contact us

Mathematics & Statistics

Telephone: +44 (0)141 548 3804


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