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Masters Degrees (Forex)

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Who is it for?. To successfully complete this course, you must have a good understanding of mathematics. You may well have studied finance, economics, engineering or maths or physics as an undergraduate. Read more

Who is it for?

To successfully complete this course, you must have a good understanding of mathematics. You may well have studied finance, economics, engineering or maths or physics as an undergraduate. Or you might have a bachelor’s degree in a science subject, in particular computer science.

You should have a general interest in mathematics and statistics, including the more technical and mathematical techniques used in financial markets; but you don’t need to have a background in finance.

Objectives

You’ll study core modules focusing on asset pricing, risk management and introductions to key financial securities such as equities, fixed income securities and derivatives. From there you’ll progress to specialist learning in econometrics, and cover a large amount of stochastics and numerical methods.

You’ll cover basic and advanced topics in econometrics including ARCH and GARCH models, co-integration and dealing with high frequency data. You will also have the opportunity to work with a number of different estimation techniques, including OLS, Maximum Likelihood and GMM.

You’ll work extensively with the Matlab programming language in the core modules alongside other languages such as VBA, Python or C as optional modules.  You’ll choose five from around 40 optional modules in your final term. You can also choose to complete a traditional dissertation, which counts for four optional modules, or a shorter ‘applied research project’, which is the equivalent of two optional modules.

Structure

  • You will have gained a good understanding of the technical aspects used in financial markets, starting from the financial theory, looking at different financial instruments and showing various applications of the theoretical concepts.
  • You will gain a good understanding of stochastics, mathematical finance and econometrics as well as some programming.
  • You will also obtain a very good understanding of different financial assets, in particular derivatives, and how they can be used in different context, such as risk management, asset management or structuring
  • You will have three different possibilities to complete your degree in the third term, including writing a dissertation or an applied project. You can also opt to gain all the credits through taught electives.
  • Popular electives include Behavioural Finance, Trading and Hedging in the FOREX Market, Technical Analysis, Hedge Funds or Python.

Assessment

We review all our courses regularly to keep them up-to-date on issues of both theory and practice.

To satisfy the requirements of the degree course students must complete:

  • nine core courses (Eight at 15 credits each, one at 10 credits)

and either

  • five electives (10 credits each)
  • three electives (10 credits each) and an Applied Research Project (20 credits)
  • one elective (10 credits) and a Business Research Project (40 credits)

Assessment of modules on the MSc in Quantitative Finance, in most cases, is by means of coursework and unseen examination. Coursework may consist of standard essays, individual and group presentations, group reports, classwork, unseen tests and problem sets. Please note that any group work may include an element of peer assessment.

Induction weeks

The MSc in Quantitative Finance starts with two compulsory induction weeks, mainly dedicated to:

  • an introduction to careers in finance and the opportunity to speak to representatives from over 75 companies during a number of different industry specific fairs.
  • a refresher course of advanced financial mathematics, statistics, computing and electronic databases

Career pathways

The job opportunities for students from the three quants masters programmes are very similar. similar. They usually find employment with large investment banks, but also some smaller boutique finance firms, hedge funds or other specialist companies.

Working as a general or technical analysts, risk management position, working on fixed income security desks and the asset management industry including hedge funds are typical jobs which students from the MSc Quantitative Finance go into. Energy companies, such as Npower, have also recruited quants students. Students from the MSc Quantitative Finance will have covered more topics relating to forecasting and regression analysis.

You will also have the skills to study for a PhD in the area of quantitative finance and financial markets.



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Who is it for?. To successfully complete this course, you must have a good understanding of mathematics. You may well have studied finance, economics, engineering or maths or physics as an undergraduate. Read more

Who is it for?

To successfully complete this course, you must have a good understanding of mathematics. You may well have studied finance, economics, engineering or maths or physics as an undergraduate. Or you might have a bachelor’s degree in a science subject, in particular computer science. You should have a general interest in mathematics and statistics.

You should have a general interest in learning the more technical and mathematical techniques used in financial markets, but you don’t need to have a background in finance.

Objectives

The difference between the MSc Mathematical Trading and Finance to the other two quants courses (MSc Financial Mathematics and MSc Quantitative Finance) are core modules which focus on quantitative trading and structuring.

You’ll study core modules which focus on the theory of finance and different financial assets. You will look at how these assets are priced and used for asset management or risk management purposes.

The second type of core modules cover the mathematical and statistical aspects needed in quantitative finance, including some stochastics. This also includes learning some programming languages, in particular Matlab, but also VBA.  Finally, Term three offers you flexibility within your masters; either by writing a dissertation or undertaking a project. You can complete your degree entirely choosing electives.

What will you learn

  • You will have learned a good understanding of the technical aspects used in financial
  • markets, starting from the financial theory, looking at different financial instruments and showing various applications of the theoretical concepts.
  • You will gain a good understanding of stochastics, mathematical finance and econometrics as well as some programming.
  • You will also obtain a very good understanding of different financial assets, in particular derivatives, and how they can be used in different context, such as risk management, asset management or structuring.
  • The MSc Mathematical Trading and Finance will also help you do understand the financial theory used in financial markets with an emphasis on practical applications.
  • You will three different possibilities to complete your degree in the third term, including writing a dissertation or an applied project.
  • You can also opt to get all the credits through taught electives. Popular
  • electives include Behavioural Finance, Trading and Hedging in the FOREX Market, Technical Analysis, Hedge Funds or Python.

Assessment

We review all our courses regularly to keep them up-to-date on issues of both theory and practice.

To satisfy the requirements of the degree course students must complete:

  • nine core courses (Eight at 15 credits each, one at 10 credits)

and either

  • five electives (10 credits each)
  • three electives (10 credits each) and an Applied Research Project (20 credits)
  • one elective (10 credits) and a Business Research Project (40 credits)

Assessment of modules on the MSc in Mathematical Trading and Finance in most cases, is by means of coursework and unseen examination. Coursework may consist of standard essays, individual and group presentations, group reports, classwork, unseen tests and problem sets. Please note that any group work may include an element of peer assessment.

Induction Weeks

The Mathematical Trading and Finance course starts with two compulsory induction weeks, focused on:

  • an introduction to careers in finance and the opportunity to speak to representatives from over 75 companies during a number of different industry specific fairs.
  • a reminder course of advanced financial mathematics, statistics and basic computing which forms a prerequisite of the core modules in term 1.

Career pathways

The job opportunities for students from the three quants Masters programmes are very similar. They usually find employment with large investment banks, but also some smaller boutique finance firms, hedge funds or other specialist companies.

Working as an analysis or quantitative analysts, in risk management, on fixed income security desks or in the asset management industry including hedge funds are typical jobs for students from the MSc Mathematical Trading and Finance. Some students also secure positions on trading desks.

You will also have the skills to study for a PhD in the area of quantitative finance and financial markets.



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Edinburgh has a long and well-established reputation in banking and finance. This new programme covers the core theories and concepts particularly at the international level such as operations of the forex market, the international money market and the international credit market. Read more
Edinburgh has a long and well-established reputation in banking and finance. This new programme covers the core theories and concepts particularly at the international level such as operations of the forex market, the international money market and the international credit market.

Ethical and professional issues relevant to the banking and financial industry will also be examined.

The programme has been developed to meet the needs of those seeking careers in the banking or finance divisions of national and international corporations across a variety of roles such as banker, stockbroker, tax consultant or financial advisor.

PROGRAMME CONTENT

Five core modules are taken:

International Finance
International Banking and Money Markets
International Banking Institutions and Regulatory Frameworks
Emerging Financial Markets
Research Methods

A further three modules are also taken from a wide range of Finance and Economics options.

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