BSc (Hons) Mathematics, Statistics and Finance Bachelor's degree at Strathclyde

This covers the basic concepts and standard methods of mathematical notation and proof; functions; complex numbers and variables; solution of equations; resolution of inequalities; sequences and series.

This introduces the fundamental concepts of calculus, and develops some of their applications including basic ordinary differential equations.

This gives an introductory treatment of vectors, matrices, geometry, and discrete maths and introduces their application to real-world problems.

This module provides 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 personal finance. At all times the module content will be linked with financial behaviour in the real world.

A presentation of some basic ideas and techniques of statistics. This module will also introduce students to the R statistical software.

A module that focuses on communicating mathematics and statistics that will facilitate practical development of communication skills in data analysis, report writing and making presentations.

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 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.

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.

This class will provide an understanding of financial management within a business enterprise. It builds on introductory investment appraisal rules from year 1 to consider the appropriate cash flows to be evaluated when undertaking an investment project, forecasting and management of cash flows over time to ensure sufficient liquidity, and how companies determine their cost of capital for such projects. It'll also provide a framework to allow students to understand a company's financial policy d

This module will provide an understanding of the principles and theories relevant to the process of building investment portfolios. It covers practical applications as well as theoretical material and considers the capital asset pricing model (CAPM), market efficiency, and the estimation and evaluation of fund performance measures. It also considers issues in bond portfolio management and equity trading strategies.

This module looks at the role of the treasurer in a multinational corporation and the main task of managing risk with respect to funding requirements, foreign exchange, liquidity and banking relationships. Also included is the management of country-specific risks for multi-national firms.

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 mode

This module will cover financial markets, institutions, and instruments, process of financing of a corporate entity and some specialist topics (such as convertibles, real options, mergers and acquisitions international project appraisal) that are relevant for corporate decision making.

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

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.

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.

The finance dissertation is a long piece of academic writing that investigates in detail a particular finance topic in which you have an interest. You will research your chosen subject by critiquing other researcher's work, discussing relevant theories and/or methodologies, reviewing literature, collecting data and carrying out your own research on this data, usually involving statistical analysis. Once you have produced your results on your data, you will have to interpret what it all means and

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 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

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).