Why this course?
Business analysis applies advanced analytical methods to business problems to help managers make better decisions while technology is at the heart of all modern business.
Organisations need business graduates with expertise in business technology. Business analysts have an excellent general awareness of how a business works. They’re also able to apply advanced analytical methods to deal with specific management issues.
This joint degree bridges the gap between business analysis & technology, mathematics and statistics.
Our course emphasises how maths can be used to solve practical problems. Statistics can be used to explore and explain the uncertain world we live in.
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).
Our flexible degree structure enables transfer between courses.
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
Business Analysis & Technology
We'll introduce you to key managerial and operational issues and techniques. A wide range of modelling techniques will be discussed and aspects of the practical problems and opportunities of technology use in business highlighted.
Years 2 & 3
These classes demonstrate the use of analytical models and problem-structuring methods in real business contexts as well as providing you with an understanding of the management challenges caused by technological innovation.
Through individual and team work, you'll develop practical skills in the practice of management. The classes develop specific modelling techniques and provide the basics of operations management as well as delivering knowledge of how information systems can be used to support managers.
Year 4 (Honours)
You'll have the opportunity to undertake a major project for a client organisation. You'll also take classes covering subjects such as management science, electronic commerce, business process integration with ERP, business analytics with data mining, project management, risk analysis & management. Subjects are revised to reflect topical developments in the use of technology by business as well as the research interests of staff.
Mathematics & Statistics
You'll study core mathematics classes in calculus, geometry and probability and statistics and choose from a range of mathematics and statistics classes from one or more of the specialist areas.
The Honours-year project may be in business analysis & technology 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
The Management Development Programme (MDP) is a core element of the undergraduate degree programme in the Strathclyde Business School.
The programme runs for the first three years of the BA degree. The entire class is driven by real business problems. The approach to learning is active problem-based, with students working in project teams.
The class aims to encourage integration of the knowledge and experience gained in Principal Subjects. Each year of the MDP focuses on different aspects of business and the content of MDP is constantly evolving and being updated and enhanced.
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.
Foundations of Business Analysis & Technology
Business Analysis & Technology is the study of how analytical thinking, scientific method and tools can be used to help decision making. This class aims to introduce a variety of analytical methods that form the basis of analysing any business problem as well as provide students with an overview of technological change and how it affects all aspects of an organisation.
The aims of this class are:
- to raise awareness of the real world problems encountered by industry that can be solved through management science methodology
- to develop an understanding of the tools and techniques used by business analysts
- to provide students with an awareness of why and where organisations use technology
- to highlight the integrative role of technology within organisations
- to demonstrate the dynamic nature of technology
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.
Semester 1Analysing & Improving Operations
This class is one of the two undergraduate Business Analysis & Technology classes before the Honours year that apply various approaches to operations management problems. Following on from the fundamentals in the first year class, this class introduces you to the subject of operations management in detail and provides opportunity for you to apply some of the basic decision analysis techniques, including simulation, in this context.
Semester 2Managing Business Processes & Information Systems
This class forms a bridge between the first year class and more advanced classes in Enterprise Resource Planning, Business Process Outsourcing, the role of ICT in business environment, etc.
The class will seek to combine conceptual and technical skills, and it will provide the basis for a series of classes in third and Honours years, especially in areas of Business Process Integration with ERP, organisational innovation and E-commerce.
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.
Semester 1Understanding & Optimising Business Systems
The first part of the course will introduce and build experience in two problem structuring methods, SODA and Soft Systems Methodology. The second part will establish an overall understanding of how supply chains work as well as appropriate modelling approaches to address various operational challenges. The third part of the course will introduce basic mathematical optimisation modelling and present how it can be used to tackle problems in different business systems, including applications in supply chains.
The fourth and final part of the course will introduce the students to the ideas of Multi-criteria Decision Analysis to make students aware of the importance of carefully defining objectives when intervening in business systems. Overall, the course will equip students with the qualitative and quantitative analytic skills and techniques in order to make action recommendations for performance improvements in complex business systems.
Semester 2Knowledge & Innovation Management
In this class, students will develop a comprehensive picture about knowledge and innovation. It goes to the very basis of what constitutes knowledge and knowledge work, and, based on this, develops the notion of creativity, as creation of new knowledge, and subsequently conceptualises innovation as new value created from the new knowledge.
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.
Management Science 4
Business Analytics Using Data Mining
An important aspect of this class is the experiential learning element, where you'll work in teams on management science projects, directly for external clients.
The clients will introduce their problems, provide information during the project, and listen to your recommended solutions. These client projects will be chosen to highlight the differing nature of individual practice, allowing comparisons between qualitative and quantitative projects to be explored.
Alongside the experiential learning will be a reflective element, which will focus on issues relating to client, consultant relations and implementation of management science, as well as addressing more conceptual issues relating to problem structuring, modelling, data collection, and choosing and mixing methods in the light of your growing experience.
Professional and ethical considerations will be highlighted, introducing you to the areas of agreement and debate within the profession. This class will also include an individual or small group project, where you'll select a technique or method they haven’t previously studied to research in more depth, mirroring professional development that they will undertake in practice. This component of the class will be managed through learning contracts.
Business Process Integration with Enterprise Resource Planning
This class builds upon students understanding of information systems. It'll provide you with the opportunity to develop analytical approaches for mining data using commercial software that'll be intellectually challenging and useful.
This class focuses on the methods used for mining data, complementing the other Honours classes that provide business context and processes.
Risk Analysis & Management
This class investigates the application of sophisticated business technology systems to the management and, more particularly, integration of business processes.
In doing so, it builds directly on the knowledge and skills acquired as part of Management of Business Processes and, in a more indirect manner, on classes like Technological and Organisational Innovation, Information Systems in the Knowledge Economy, and Information Systems Support for Managers.
Identifying and managing risk is a fundamental skill required by managers. Many models exist for supporting risk assessment and this is a major area of interest within the Management Science department.
This class will introduce you to the general concepts of risk and common measures used as well as considering ways of modelling and interpreting technical risk within the context of managing complex systems in areas such as transportation, aerospace, health.
It'll develop knowledge and skills introduced in years 1-3 in operations, statistics and modelling classes by integrating and extending them within the context of risk assessment.
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.
Introduction to Econometrics
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.
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.
Electronic commerce has had a major impact on the management of organisations and the business environment in which technology is used. This class seeks to explore this growing area, and provide a critical appraisal of the relationship between electronic commerce, technology and business model that has been adopted.
The explores the inter-relationship that exists between a theoretically grounded understanding of technological adoption and the changes that have been created by electronic commerce.
In mathematics and statistics you’ll be assessed by both continuous and summative assessment. Both contribute to the overall assessment. Knowledge, understanding and subject-specific skills are assessed by coursework, assignment, reports, presentations and written examinations.
The majority of classes in business analysis & technology involve a final unseen exam which is normally at the end of the semester. This is normally supplemented by one of more forms of 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
The following teaching methods are used in Mathematics & Statistics:
- lectures (using a variety of media including electronic presentations and computer demonstrations)
- problems classes
- computer laboratories
You’ll also learn through structured group work in problem solving and collaborative student presentations.
In Business Analysis & Technology, teaching is over two semesters in blocks of 12 weeks. Classes are taught through:
- team-based projects
- online materials
- interactive sessions.
External contributors from partnership corporate organisations are involved in teaching and/or assessment of student 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)
33 (no subject below 5 and including English SL5, Maths SL5/Maths Studies 5)
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. To find out more about these courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future.
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?
Rest of UK
Bachelor degrees at Strathclyde will cost £9,250 a year, but the total amount payable will be capped at £27,750 for students on a four-year Bachelors programme. Students studying on integrated Masters degree programmes – for example MSci, MEng and MPharm – will pay £9,250 for the Masters year.
Business Analysis & Technology
Course materials & costs
There is no charge for course materials.
Placement & field trips
For students working on their final project, travel costs are usually met by clients. On the rare occasions where travel costs are not met by the client, student costs will depend on location and frequency of travel.
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
Business Analysis & Technology
The best performing companies look for very high levels of problem-solving ability, numeracy, technology, business awareness and teamwork in their new employees. Business analysis & technology delivers this to a much greater extent than many other courses in business and management.
A significant number of well-known companies specifically target graduates from Strathclyde Business School, and from the area of management science in particular. Companies employing our graduates include:
- consultancy companies such as Accenture Consulting, PA Consulting and Capgemini
- financial services providers such as The Royal Bank of Scotland, Standard Life and Goldman Sachs
- consumer goods companies such as Procter & Gamble and Unilever
- supermarkets such as Tesco and Morrisons
- other companies including British Airways, Scottish Power, BT, BAE Systems and public sector organisations such as the NHS
Job titles vary and may include business consultant, business analyst, operations manager and risk manager.
Mathematics & Statistics
Graduates in mathematics and 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.
Many graduates go on to become economists, investment analysts, numerical analysts, statisticians, actuaries, managers and teachers.