Computing for Financial Markets

Study Computing for Financial Markets and graduate with a university degree

Postgraduate Diploma, Masters / MSc

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Computing for Financial Markets
  • Type Full-time
  • Start date September

Dr Mario Kolberg Computing Science & Mathematics University of Stirling
Stirling
FK9 4LA
+44 (0)1786 467436 www.cs.stir.ac.uk/entrants/cfm

This course covers the application and development of computer technologies as used in banking and financial systems, as well as financial and economic principles.

This course provides knowledge in key areas involving three subjects:

  • Computing
  • Economics
  • Finance

Together they offer a unique combination of expertise required for a successful career in the financial sector. This MSc offers a choice of computing modules so that the student can adapt the course to their previous computing experience.

The course has a distinct international dimension as financial markets today are international in scope: trading in equities, bonds, derivatives and other securities occurs across borders and on a global scale. It emphasises the key characteristics of today's globalised financial world.

Course objectives

The MSc in Computing for Financial Markets is an intensive 12-month course for those who wish to obtain an up-to-date knowledge on key computing technologies as used by the financial sector, including:

  • Decision Support Systems
  • Object Oriented Design and Programming
  • Database Technologies
  • Computer Security and Forensics

The course further includes key financial and economic topics, such as:

  • Financial Economics
  • The Pricing and Use of Derivative Financial Products
  • Portfolio Management

The MSc in Computing for Financial Markets will significantly enhance the employment prospects of students. Career prospects for computing postgraduates in the financial sector are excellent. You will have acquired expertise in the computing, financial and economics fields making you an ideal candidate for positions in the financial sector. You will have gained specific vocational skills in the design and development of computer applications and networks plus expertise in financial tools and markets.

Entrance requirements

Applicants normally require a first or second class Honours degree from a British university, or an equivalent qualification from an institution recognised by the University. 

English language requirements

If English is not your first language, you must provide evidence of your  proficiency such as a minimum IELTS score of 6.0 (minimum 5.5 in each skill), or  TOEFL: Listening 21, Reading 22, Speaking 23, Writing 21.

Funding

This course is currently approved for PTFL (Postgraduate Tuition Fee Loan) funding from SAAS, full details of how to apply for PTFL can be found here: http://www.stir.ac.uk/postgraduate/financial-information/scholarships/#PTFL

Full details of the PTFL fund and how to apply online can be found here: www.saas.gov.uk

For further information on possible sources of funding, visit:  http://www.stir.ac.uk/postgraduate/financial-information/

Modes of study

Full-time: MSc: one year; Diploma: nine months

Course start date

September

Structure and content

This course comprises two 15-week semesters of taught modules, a winter programming assignment over three weeks in January, and the MSc project over three months at the end. Semester 1 concentrates on fundamental techniques. Semester 2 integrates, develops and applies these skills.

Practical work is a key component in this course. It builds from self contained tasks in the first semester, over the larger Winter programming assignment, to a group project in Semester 2. Finally, the dissertation project (possibly with a company) is the largest piece of work leading to your MSc dissertation.

In the Semester 1 you will take the following two core modules:

  • Financial Economics: Financial instruments and how they are traded; the major topics in financial economics including portfolio theory, the pricing of bonds, stocks, and other financial instruments
  • Quantitative Methods in Finance: The statistical and computing skills necessary to understand fully and perform modern financial analysis

Plus one elective from:

  • Principles and Practice of Programming: The design and testing of programs written in Java. You will study good practice in program construction, programming with data structures and graphical user interfaces
  • Technologies for eCommerce: Provides an in-depth understanding of the how to use Java servlets and JSP to implement an ecommerce website server

Plus one elective from:

  • Database Principles and Applications: Provides a critical understanding of the role of database management systems and the ability to creatively design and implement practical databases
  • Computer Security and Forensics: Covers the principles of computer security and their application to forensic analysis, in particular confidentiality, integrity and availability

During the winter break there is an extended programming assignment using Java.

Computing Science at Stirling has strong links with industry. We offer commercially linked projects for the MSc dissertation period. Topics include mobile phone app development (iPhone, Android, and also cross platform environments), bespoke Java applications, .net applications, and advanced website development projects.

In the Semester 2 you will study two core modules:

  • Derivatives: Provides an understanding of the uses and the valuation of the main derivative financial instruments. It covers the trading mechanisms used on derivative markets and explains the fundamental principles underlying the pricing of derivatives and their use in portfolio management, and risk management
  • Investments and Portfolio Management: Provides an understanding of portfolio management principles and the valuation of equities and fixed-interest securities

Plus two electives from:

  • Decision Support Systems: IT methods and techniques in the support of decision-making in organisations, in particular modelling, simulation and intelligent decision support systems
  • Networking and Technologies for eCommerce*: Discusses computer networks and their layered architecture. You also study web scripting using PHP, Java script and XML
  • Networking*: Investigates the principles of data communications, including layered network architecture, services and protocols
  • Object-oriented Software Design: How to analyse and model requirements and develop object-oriented software, through the use of UML and CASE tools
  • Communication Systems and Services: Covers the underlying concepts of Voice over IP communications architectures, web service provision and its role in commercial applications, as well as the principles of applications for mobile phones

* Only one of these modules can be selected.

You may graduate with the Postgraduate Diploma after two semesters, or you may continue with a three-month project and dissertation to qualify for the MSc degree. The subject of the dissertation will usually be a computer application for a financial purpose.

Delivery and assessment

Students will learn about computing, finance and economics topics through lectures, tutorials/seminars and practical sessions. Lectures involve the whole class, while tutorials and practicals are for small groups. Practical work is a key component in our degrees, and provides the opportunity for hands-on experience. It builds from self- contained tasks in the first semester, over a larger programming assignment in the winter break to a group project in Semester 2.

Finally, you will embark on a three-month project working on your dissertation topic. At the end of the project you will write up your findings as your MSc dissertation. For the MSc projects, we will make a number of industrial placements (usually unpaid) available through the Making the Most of Masters scheme (www.mastersprojects.ac.uk). These will be offered to the best students in the class. Other project suggestions both from external bodies and from within the University are also offered. Furthermore, students' own ideas for projects are encouraged and welcomed. Often students bring in their previous expertise.

Course Director

Dr Mario Kolberg

RAE rating

In the most recent Research Assessment Exercise (RAE), 90 percent of research in Computing Science and Mathematics at Stirling was graded as ‘Internationally Excellent’, with the top five percent of that judged to be 'World-leading’.

Our students

Computing for Financial Markets is my second MSc, prior to taking the decision to apply for this course I did some research about the University, the modules, graduate prospects... and found actual feedback from previous students, saying how everything about the University, the course... is wonderful.  Well I have to say I could not agree more with that.

After completing this course, I found that the University offered a brilliant environment for any student to excel, all the staff are exceptionally knowledgeable and helpful.  The modules are very interesting, the facilities are first class.  Furthermore the University offers rich extra curricula activities... the best thing for me was securing a good job in difficult economical climate even before the end of the second semester and I had to turn down several subsequent interview offers.  That shows how much employers value graduates from the University of Stirling.  This year was my best year as a student!

Sami M'Chala, 2012

 

Career opportunities

The MSc in Computing for Financial Markets will greatly enhance the employment prospects of students. As a graduate of Computing for Financial Markets, you will be in demand in a range of sectors including banks, insurance business, IT software organisations, and service enterprises.

Previous postgraduate students have been very successful in obtaining suitable employment in the computing field in a considerable diversity of posts - some with small companies, others with major organisations such as HBOS, Prudential and RBS, with Local Authority and Government bodies. A number of graduates of the MSc Computing for Financial Markets have continued their studies towards a PhD.

 Home/EUOverseas
2013/4£4000£12500

You should expect to pay fees for every year you are in attendance and be aware fees are subject to revision and may increase annually. Students on programmes of study of more than one year should take this into account when applying.