Msc financial computing mathematical sciences|electronic engineering and computer science
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Queen Mary just changed my thoughts about university life. you are being offered hands of everyone and see everyone talking and enjoying themselves rather than boring and helpless.
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Postgraduate
In London
Description
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Type
Postgraduate
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Location
London
Overview
This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance.
Financial institutions rely on a functional blend of Mathematics, Technology and Finance to develop, enhance and sustain their competitive edge. The financial industry is undergoing a second wave of technological transformation related in particular to¿: the establishment of electronic trading platforms; improved risk management and pricing accuracy; the high performance computing implications of expanding regulatory requirements.
As a result there is increasing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.
The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed at science and engineering graduates with mathematical exposure and some experience in computer programming. The content of the programme is a combination of technology and financial mathematics. It contains modules related to up-to-the-minute industry challenges such as machine learning and big data processing.
Why study with us?
Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research and teaching excellence.
You will be taught by distinguished academics and experienced practitioners who blend advanced theory with practical applications.
You will study in recently refurbished MSc student offices, with state-of-the-art computers and software.
Facilities
Location
Start date
Start date
Reviews
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Queen Mary just changed my thoughts about university life. you are being offered hands of everyone and see everyone talking and enjoying themselves rather than boring and helpless.
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Course rating
Recommended
Centre rating
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This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 14 years
Subjects
- GCSE Mathematics
- Programming
- Financial Training
- IT risk
- Full Time
- Engineering
- Industry
- Technology
- Project
- School
- Financial
- Finance
- Mathematics
- Electronic Engineering
- Computing
- Trading
- Risk Management
- Personnel
- Risk
Course programme
Structure
The MSc in Financial Computing is available to study full-time for one year, or part-time over two years. There is also an option to take a two-year programme with an Industrial Experience placement in the second year: click here for more information.
The study programme consists of four compulsory and four elective modules. The modules offered by the School of Mathematical Sciences will provide a solid understanding of the principles of mathematical finance. The modules offered within the School of Electronic Engineering and Computer Science will focus on key aspects of technological implementation.
Structure Semester A - Compulsory-
ECS793P Introduction to Object-Oriented Programming
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MTH771P Foundations of Mathematical Modelling in Finance
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MTH739N Topics in Scientific Computing
Choose any one from:
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ECS713P Functional Programming
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ECS765P Big Data Processing
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ECS708P Machine Learning
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MTH789P Trading and Risk Systems Development
Choose any three from:
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MTH773P Advanced Computing in Finance
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ECS769P Advanced Object-Oriented Programming
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ECS784P Data Analytics
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MTH774P Portfolio Theory and Risk Management
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MTH772P Stochastic Calculus and Black Scholes Theory
Each MSc Financial Computing student is required to complete a 60 credit project dissertation. A typical MSc project dissertation usually consists of around 40 to 60 word-processed pages, covering a specific research-level topic in financial computing, usually requiring the student to understand, explain and elaborate on results from one or more journal articles and possibly to implement some industry quality code.
Study options Full time studyYou will study eight modules in total with an even split across semesters one and two. You will complete your project and dissertation during semester three.
Full time study with Industrial ExperienceYou will study eight modules in total with an even split across semesters one and two. You will complete your project and dissertation during semester three. You will complete a 10,000 word dissertation/research project during semester three. Expert staff will support the arrangement of your industrial placement, which will be carried out in the second year of your programme and assessed through the completion of the Industrial Placement Project.
The industrial placement takes place from the September following the taught part of the MSc and is for a maximum of 12 months. It is a student's responsibility to secure their own placement, but the Placement Team will provide support. The Placement Team source and promote suitable opportunities, assist with applications, and with interview preparation.
The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken after you have completed and passed the taught component of the degree and submitted your MSc project. The placement will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.
In the event that you are unable to secure a placement we will transfer you onto the 1 year FT taught programme without the Industrial Experience. This change will also apply to any student visa you hold at the time.
Click here to go to the course page for MSc Financial Computing with Industrial Experience.
Part time StudyYour programme is delivered across two academic years. You will study four modules in each year of the programme, with two modules per semester to balance your workload.
Our modules are assessed by a mixture of in-term assessment and final examinations. Examinations are held between late April and early June. Dissertations are evaluated in September. Successful completion of the MSc programme will result in the award of the MSc Financial Computing (possibly with Merit or with Distinction).
Msc financial computing mathematical sciences|electronic engineering and computer science