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Engineering Mathematics in Finance (BENG0019)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Biochemical Engineering
Credit value
15
Restrictions
The prerequisites for BENG0019 would be a good pass in ENGF0003 (or equivalent from other host faculties, e.g., Computer Science, Management or Statistics). Additionally, students are expected to have a good pass at A level mathematics (or equivalently in a Baccalaureate or gaokao exam).
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module aims to introduce students to the principles of “Financial Engineering” and discuss how it links with classes of problems commonly met in traditional engineering applications. Students will strengthen their knowledge of the mathematical techniques discussed in previously taken mathematics modules and they will apply these to the solution of problems in finance.

Upon completion of the course, a student should be able to:

  • Recognise the connections between mathematics, engineering and how mathematical ideas are embedded in a Financial Engineering context;
  • Understand the basic concepts of Quantitative Finance & Financial Econometrics
  • Perform basic calculations using Quantitative Finance/Economics techniques
  • Understanding difference equations and their usage in Finance and Economics as well as obtaining their solutions using Laplace transforms.
  • Modelling long-term relationships between prices and exchange rates.
  • Relate the behavior of the output of mathematical models to the underlying conceptual models of interest
  • Present and interpret quantitative results in effective and appropriate ways to varied audiences, including non-mathematical or engineering audiences.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 Undergraduate (FHEQ Level 5)

Teaching and assessment

Mode of study
In person
Methods of assessment
40% Exam
60% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
158
Module leader
Dr Vasos Pavlika
Who to contact for more information
beugadmin@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.