Financial Mathematics

University of Greenwich

To develop and extend the mathematical theory of linear algebra and ordinary differential equations beyond Level 4 and investigate their applications.

This course provides the student with fundamental knowledge in topics of numerical mathematics, in-depth understanding of foundation concepts in programming, and experience in the design of computer programs implementing numerical algorithms.

Aims: To introduce students to linear programming and develop their understanding of the importance of mathematics to modern business and finance

To introduce models of Operational Research and give students knowledge of both analytical and software-based simulation techniques. Students will be encouraged to think independently, logically and creatively, and apply these skills to new areas of investigation

This course enables students to develop a knowledge and understanding of various techniques of data analysis and to acquire the skills required to carry out and implement analyses using modern statistical software, with the emphasis on the understanding, interpretation and communication of results.

This module introduces concepts of vector calculus and its applications, especially fluid dynamics and electromagnetism, in science and engineering. It consists of two parts. In the first part of the module, you will learn about the mathematical theory and techniques of vector calculus. You will become competent in using vector calculus in both differential and integral forms. The second part of the module gives an introduction to fluid dynamics and electromagnetism.

The mathematics sandwich placement aims to help students synthesise knowledge and skills acquired during the first two years of the degree programme and apply them appropriately in a working environment under the supervision of an employer. It provides students with the opportunity to manage and enhance the development of their own personal skills, acquire and develop a range of skills such as communication skills, professional awareness, technological skills, employability skills, and have the opportunity to apply them in a work environment. It also aims to provide students with an opportunity to work supervised and unsupervised with an appreciation of work ethics.

This course gives credit for students undertaking a work placement relevant to their studies and presenting their experience on this placement in a reflective logbook, report and presentation.

Employers require graduates to be able to tackle non-standard problems, organise their work and present their conclusions. Similarly, candidates for entry to postgraduate degrees need to be able to research a topic and write a corresponding dissertation. This course reinforces the skills needed for these tasks and provides the student with the opportunity to carry out ab research project relevant to their degree.

This project, conducted under the framework of the national Undergraduate Ambassadors Scheme (UAS), allows undergraduates to gain academic credit for their work in schools and colleges. The undergraduate will aim to develop a range of skills and to be presented with an opportunity to experience an early taste of teaching for those interested in pursuing teaching as a career. The undergraduate will be expected to work in a school once a week, for a duration of up to 6 months. The project will also help to inspire a new generation of prospective Mathematics and Statistics undergraduates by providing role models for school pupils and to help improve exam results in general by providing extra assistance in the classroom. For further information see the UAS documentation. Learning Outcomes A-E and the course content are drawn from the UAS framework. This course includes the PDP element for Level 5.