Computational Finance
Royal Holloway, University of London
Summary
- Exam(s) / assessment(s) is included in price
- Tutor is available to students
Location & dates
Overview
Description
This degree, offered jointly by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling. This is an attractive advanced qualification, especially suitable if you are seeking employment in asset structuring, product pricing or risk management, among other fields. As part of the course, you will take an industrial placement, where you will gain valuable experience by putting your knowledge and skills into practice.
Department: Computer Science
Qualification:
MSc
Qualification Level:
RQF Level 7
Requirements:
UK upper second class Honours degree (2.1) or equivalent in computer science, engineering, mathematics, physics, statistics or other subjects that include a strong element of both mathematics and computing. Relevant professional qualifications and relevant experience in an associated area will be considered. English language requirements: IELTS 6.5 overall and no subscore below 5.5.
Assessment Methods:
Assessment is carried out by a variety of methods including coursework and a dissertation. The placement is assessed as part of your degree.
Modules:
Mandatory modules: Data Analysis; Programming for Data Analysis; Database Systems; Foundations of Finance; Investment and Portfolio Management; Individual Project. A range of optional modules are also available.
Source: the courses data has been supplied by the Universities and Colleges Admissions Service.
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