BA Joint Hons Finance & Mathematics and Statistics

This module will provide you with an introduction to finance and accounting, covering the basic concepts and practicalities of corporate finance, the principles of valuation, financial management and business investment, the role and purpose of company accounts and their usefulness, security analysis, risk and returns from investments, and personal finance.

At all times the module content will be linked with financial behaviour and events in the real world.

This module introduces learners to the field and practice of international business and management.

Drawing on classical and recent debates in theory and practice including, but not limited to commercial concerns, learners will be equipped with an understanding of the foundational principles and developments of the subject.

In the module, we consider how international business and management is researched, and facilitate a critical understanding based on real-life case studies in international contexts. This module gives learners the capacity to look at the past, present and future in organisations and provides the foundations for intellectual progression in the subject, and broadly, for year two and beyond.  

The aim of this module is to provide you with a solid foundation and understanding of the theories and principles underlying marketing and entrepreneurship. A combination of the subjects will be taught to enhance understanding of the way the two disciplines address issues related to both the macro and micro-environment contexts of markets and entrepreneurship.

Marketing is everywhere in contemporary society. It plays a central role in business as it is concerned with the creation and retention of customers. The module is designed to give you a foundational understanding of marketing and a critical introduction to the topic of marketing in both theory and practice through a series of lectures and workshops.

In your first-year class you will explore the core concepts of value and exchange. You will learn what marketing is and its core principles such as analysing the marketing environment, developing a marketing strategy, and dealing with the marketing mix i.e., product, price, place, and promotion. You will learn how organisations develop a customer centric approach to marketing and how that can create a competitive advantage in a dynamic business environment.

The assessment for this module will involve individual coursework.

In this module, you will be exposed to concepts and ideas from economics, sociology, psychology, geography and other social sciences, all in the context of the competitive business environment.

Entrepreneurship too is a complex process involving many different skills and activities, though it is based upon a 'mindset and process by which an individual or group identifies and successfully exploits a new idea or opportunity. For this part of the module, you'll be working in teams to learn about the ideation process, which forms the foundations of new venture creation, in our Creative Challenge.

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. 

This module includes two thematic parts which run in parallel across the semester. One part, Introduction to Tourism Studies, introduces tourism management as both, international business and as a global cultural phenomenon.

It provides insights into key concepts and theories to understand the intricacy of this industry in commercial, cultural and environmental terms. The other part, Managing People, focuses on the contemporary and practical issues of how people are organised and managed in the workplace and examines different theoretical perspectives which help our understanding of the complex relationship between the employer and the employee in the contemporary business environment.

The ICE Pathway - “Innovation, Commercialisation & Entrepreneurship”, where you'll learn about the Foundations of 'What is Business’.  Alongside:

• Personal & Professional Development: Who am I? How Do I learn? How do I lead & work in a team?
• Knowledge & Practice: What is a business/organisation? Why does this matter? How does this affect society?
• Experiential Learning: Real-world cases & clients; team-based and student-centred Learning approaches

This class aims to support you in developing key skills that are important to both your academic and future career. These include skills associated with:

• research
• data analysis
• critical writing
• team working
• communication

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.

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.  

Topics

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 Management Development Programme 3; with a presentation and a final report.

Class description

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 Management Development Programme 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.

Second year classes cover:

• investment and financial decision-making and policies in business
• risk and return and the pricing of company shares
• portfolio selection and the efficiency of financial markets
• the valuation of bonds and bond portfolio management
• equity trading strategies
• statistical and spreadsheet methods of analysing financial problems and strategies

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.

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.

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.

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 Strathclyde Business School. You work on two live business consultancy projects (one in each semester) and, as a team of six, 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 Management Development Programme 3 although there is pathway support with the pathway leads and tutor support.

Areas covered in third year classes include:

• advanced corporate finance and financial markets issues
• valuation of derivatives, such as options and futures and swaps
• the operations of derivatives markets
• hedging strategies
• treasury and international financial risk management in business

Advanced methods of empirical analysis, such as event studies, and access to historic and live data are also included.

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.

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

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.

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.

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.

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 can either specialise in Finance as a Single Honours subject or continue to a Joint Honours degree in Finance and your other principal subject. In order to gain entry to Honours year, you must meet specified performance criteria in Years 2 and 3.

Students taking Single Honours in Finance will do a research dissertation in Finance, while Joint Honours students typically have the choice of doing their dissertation in either Finance or their other subject. Honours classes cover advanced topics in the following areas:

• corporate investment
• corporate financing
• asset pricing
• portfolio analysis
• derivatives
• international financial management
• behavioural finance
• international corporate governance
• financial quantitative methods

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.

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.

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.

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.

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.

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.

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

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.

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.

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.