Why this course?
Following the recent global economic crisis, economics is more important and relevant than ever. Decisions on money, banking, interest rates, taxation and government spending affect us all, with global consequences.
Economics aims to understand the activities of the different agents in the economy – consumers, producers and the government – and how they all fit together.
Our degree will give you the ability to explain complex data in simple terms to different audiences. You’ll also develop excellent mathematical, statistical and problem-solving skills. Mathematics and Statistics make up at least half of the course.
Create your own course
Modern business is too complex to be covered by a single subject: modern managers need to have a broad outlook.
You choose basic classes in business and other disciplines, alongside the Business School’s Management Development Programme. You’ll study a wide variety of subjects and create a curriculum to suit your interests and needs.
You also have the opportunity to try new subjects, some of which you won’t have experienced at school or college. At the beginning of Year 2, you choose two subjects to continue studying in Years 2 and 3. You’ll also select a third, ‘minor’ subject and take further Management Development skills classes.
Apply under the general UCAS entry code N100 if you’d prefer to discuss your subject choices once you arrive. To study accounting, apply under N400 or one of the other accounting codes listed on the site.
What you’ll study
Years 1 & 2
You’ll study an Introduction to Economics, which covers consumers and industries, markets, market failure and the role of government, unemployment and inflation. You’ll take core classes in microeconomics and macroeconomics and choose from a number of optional classes.
In addition to the study of core mathematical methods, you’ll study:
- applied analysis
- numerical analysis
Years 3 & 4
Students study a selection of optional classes which complements the classes studied in previous years. You also undertake a dissertation that requires substantial independent research.
The Honours-year project may be in Economics or Mathematics, or Statistics.
Topics offered in Maths Honours-year classes include Dynamical Systems & Chaos Theory, the Mathematics of Finance & Mathematical Modelling in Biology & Medicine.
Economics options include Econometrics, Econometric Theory and Economics of Competitive Strategy.
Strathclyde Business School blog
One of the most important resources available to you is being part of the Strathclyde Business School community. One example of this is the Strathclyde Business School Blog, used extensively by staff and students to showcase our activities.
Prizes for best overall performance are awarded to students in all years of study. We also offer a prize for the best final dissertation in economics in the final Honours year of study. All prize recipients will be invited to attend the Graduation Reception for our final year students.
Management Development Programme 1
First Year aims to help you make the transition to the university context. Semester 1 is the Thematic Semester: The World of Business Today and covers topics such as:
- Social-Ethical-Environmental Governance (SEEG)
- Business Ethics
- Disruptive Technologies
Semester 2: Functional Semester: Organisations Today covers topics such as:
- Creativity & Responsibility
- Marketing & Sustainability across Domains
The first year of the programme is centred on the construction of knowledge in classroom setting with theoretical constructs developed. For each topic we’ve recorded a video by a Strathclyde academic who is a leading expert in the field.
You’ll watch these lectures in advance of each session and complete a pre-sessional activity. The pre-sessional work then forms the basis of team based activities work in the classroom (groups of 50 and teams of six-seven) where you develop an agreed understanding of the topic and present this to the group.
The feedback gained from this activity then feeds directly into the assessment for the block. You’ll complete 16 assignments in the two semesters of the class.
Introduction to Economics
The purpose of this class is to provide you with a balanced introduction to economics which will be at once self-contained and lay the foundation for further study in economics and more generally. The work of the class will be based on a programme of systematic directed reading, supplemented by tutorials, using group projects and in-class short answer tests as cumulative assessment.
Mathematics & Statistics
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
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.
Management Development Programme 2
Semester 1 topics include:
- Working in Business Organisations
- Working Business Research & Consultancy
- Working Internationally
- Working in the Third Sector
- Rhetorics & Oratory
Semester 2 is about developing the proposal of MDP3; with a presentation and a final report.
The second year concentrates on developing understanding through industry-specific contextualisation. Sessions are weekly and three hours in length.
The sessions are thematically linked to the pathways for individualised experience in third year whilst also drawing on the theoretical knowledge developed in MDP 1. In order to develop understanding, organisations will deliver a half-day session. This consists of a one hour plenary introduction where the company and case study are introduced. This is followed by the group sessions where you undertake activities in relation to the case study set by the company.
This is the core microeconomics class in second year. It aims to develop your 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 you to mathematical techniques commonplace in economics, giving you 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 your ability to use key macroeconomic models and will also provide an introduction to the analysis of economic data.
Mathematics & Statistics
Linear Algebra & Differential Equations
Probability & Statistical Inference
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.
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.
Management Development Programme 3
The third year of centres on individualised experience in an organisational context through one of the following pathways:
- Internship/Charities - gain practical experience in a private or third sector organisation. You need to negotiate and locate your own organisation and experience – this is one of the key learning points of the pathway.
- Research and consultancy - a facility for local small businesses to gain from the experience and expertise of those within SBS. You work on two live business consultancy projects (one in each semester) and, as a team of 6, develop solutions and strategic initiatives for the local SME economy.
- International experience – only available for students who are undertaking an international exchange for either one semester or full year.
- Vertically Integrated Projects - working on a cross-faculty basis to research longitudinal projects (including the ‘Bill Gates Toilet Challenge, Solar Panels for Gambia and Enterprise in Schools) you work with a team of students from all levels of study (first year undergraduate to final year PhD) to further the work of the project.
In addition, you’re required to undertake a social responsibility element (this accounts for one quarter of the overall workload).
These have been designed to provide support to the Curriculum for Excellence and the Widening Access to Higher Education programme. There are no formal classes for MDP3 although there is pathway support with the pathway leads and tutor support.
Adam Smith's hidden hand - markets result in efficient outcomes - doesn't always work. We seek to understand why through the study of market power, externalities and public goods, and then go on to apply these ideas to issues of education, healthcare provision and crime and punishment.
This class builds on the Macroeconomics you studied in second year by covering four topics in detail: (i) models of economic growth; (ii) the effects of macroeconomic policy in an open economy; (iii) the interrelationships between money growth, output, unemployment and inflation; and (iv) the implications of high government debt.
Mathematics & Statistics
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
Optional classesComplex 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.
The dissertation is an important part of the fourth year programme. Single Honours Economics BA students are required to submit a dissertation in Economics while Joint Honours BA students may submit a dissertation in Economics or in their other Honours subject.
Elective classesMicroeconomics 4
Game Theory and Information Economics, the topics of this class, consider market failure resulting from two different sources: individuals pursuing their own self-interest at the expense of others; and information asymmetry which alters the way agents behave. Methods to alleviate these market failures will also be considered.
This class 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 class, the analytical usefulness of the theoretical models taught is illustrated with real-world examples.
Introduction to Econometrics
This class builds upon the empirical content of Macroeconomics 2 and further develops your ability to analyse economic data. In addition, this class lays the foundations for further study of econometrics at Honours level.
Economics of Firms & Industries
This class introduces you to different industry structures and studies the behaviour of firms within those structures. The material builds on the study of the theory of the firm presented in Microeconomics 2 and provides a foundation for the study of industrial organisation at Honours level.
This course investigates the actions that firms in an industry might take to preserve their profit in that industry, and the implications that this has for competition policy and regulation. We take an analytical approach to the issues which will be supported by examining case studies and current events.
Financial Development & Economic Growth
In the third year econometrics class you’ll 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; this class 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 this class by developing two classes of models.
This class gives a balanced view of the role of finance in promoting long-run economic growth, but also booms and busts. The nature and role of financial intermediaries will be introduced, and, afterwards, formally addressed in a simple aggregate growth model. Empirical evidence will be examined, before turning to the specifics of micro-finance. The importance of financial globalisation will also be investigated. Finally, the rest of the class will be devoted to deciphering the causes and consequences of the current financial crisis.
Natural Resource, Environmental & Energy Economics
Behavioural Economics offers alternative theories that merge psychological insights with economic theory and are based on experimental and other evidence, that attempt to provide a better explanation of real-world behaviour.
This class is concerned with exploring these new 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.
After studying this, you should 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.
The class provides you with an introduction to natural resource, environmental and energy economics and policy. It focuses on the contributions of economics to understanding environmental, energy and resource problems, their causes, and the design of effective public policies to counteract them.
Mathematics & Statistics
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 classesModelling & Simulation with Applications to Financial Derivatives
Statistical Modelling & Analysis
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.
Applied Statistics in Society
This class will provide you with a range of applied statistical techniques that can be used in professional life.
Applicable Analysis 3
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.
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.
Elasticity & Complex Materials
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.
Optimisation: Theory & Practice
We'll introduce you to general continuum theory with applications to Newtonian and non-Newtonian fluids and elastic materials.
We'll provide you with a basic mathematical understanding of modern approaches to optimisation and the calculus of variations.
Dynamical Models in Epidemiology
Here you'll develop approaches to understanding complex or random systems in or out of equilibrium, based on ideas from statistical mechanics that incorporate familiar concepts and methods from neighbouring subjects like classical mechanics and probability and statistics.
You'll also be able to describe, through various examples and techniques, how macroscopic properties of systems arise from the ensemble action of many microscopic ingredients, and, specifically, how deterministic 'laws' may arise from basic randomness of a system with many variables or degrees of freedom. Fundamental examples include Brownian motion and the ideal gas.
We'll introduce mathematical models which arise in epidemiology and population dynamics, and help you develop techniques for analysing the qualitative behaviour of the associated dynamical systems.
The majority of classes involve a final unseen exam which is normally at the end of the semester. This is usually supplemented by individual and/or group coursework.
In some cases, you can get exemption from the final exam if you achieve a specific mark for your coursework (and satisfy attendance requirements).
Learning & teaching
Teaching is over two semesters in blocks of 12 weeks. Classes are taught through lectures, tutorials and seminars, alongside team-based projects, online materials and interactive sessions using personal response systems.
External contributors from partnership corporate organisations are involved in teaching and/or assessment of student presentations.
Mathematics uses the following teaching methods: lectures (using a variety of media including electronic presentations and computer demonstrations), tutorials, problems classes, computer laboratories, coursework and projects.
You’ll learn through group work in problem solving and working with other students in presentations.
The innovative and highly acclaimed Management Development Programme (MDP) is at the core of our undergraduate degrees in the Business School and comprises a series of classes which you take throughout Years 1 to 3.
You develop knowledge and skills in key areas of management, and team-working, communication and decision-making skills, all of which are highly sought-after by employers.
Major employers and alumni from all sectors are involved in the MDP, participating in group sessions, observing student presentations, and providing feedback. Organisations involved include Barclays, Deloitte, Procter & Gamble and Ernst & Young. In first year the best teams are selected to present to senior staff in one of the sponsoring organisations, and there are prizes for the best projects.
The programme builds your confidence and entrepreneurial capabilities, and promotes awareness of globalisation and ethical issues in personal and business decision-making. In Year 3, you develop your own pathway from internships, involvement with business projects, engagement in interdisciplinary activities and business clinics.
Required subjects are indicated following minimum accepted grades.
1st sitting: AAAB or AABBB; 2nd sitting: AAABBB (English B, Maths National 5B/Intermediate 2; Higher Maths B for combinations with Finance)
Minimum entry requirements: BBB (GCSE English Language B or Literature B; Maths GCSE B/A Level B for combinations with Finance)
Typical entry requirements: ABB (GCSE English Language B or Literature B; GCSE Maths B/A Level B for combinations with Finance)
36 (no subject below 5 and including English SL5, Maths/Maths Studies SL6)
Successful completion of relevant HNC/HND at first attempt with A passes in all graded Units. Contact Business School Admissions for advice on entry to Year 2.
Irish Leaving Certificate
AAABBB at Higher level, including English and Maths
- English: Higher level B
- Maths: Ordinary level at B or Higher level at B for combinations with Finance
- Maths for combinations with Mathematics & Statistics: Higher level A
An Advanced Higher and a Higher are given equal credit and the grades for each qualification count towards the total grades required.
Deferred entry not accepted.
Admission to Honours
All students will be admitted as potential Honours students. Students may exit with a Bachelor of Arts degree at the end of year three of the Honours programme if they have accumulated at least 360 credits and satisfied the appropriate specialisation requirements. For admission to the final year of the Honours course, a student must have qualified for the award of the Bachelor of Arts degree and achieved an approved standard of performance.
English language requirement
A pass in an English language qualification is normally required from applicants outside the UK whose first language is not English. The following provides information on the main qualifications considered for entry to the Business School undergraduate degree courses.
IELTS: Minimum overall band score of 6.5 (no individual test score below 5.5)
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 International Study Centre.
You can also complete the online application form, or to ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.
Fees & funding
How much will my course cost?
All fees quoted are for full-time courses and per academic year unless stated otherwise.
Rest of UK
The 2018-19 fee rate will be updated when it has been confirmed by the UK and Scottish Governments. 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.
International Study Centre
Please find information about the student fees for university pathway programmes on the International Study Centre (ISC) website.
Economics Students taking the BA degree in Economics incur no additional charges.
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.
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.