Newcastle University Business School

Quantitative Financial Risk Management

Quantitative Finance and Risk Management MSc

Full time: 12 months

Profile

Our Quantitative Finance and Risk Management MSc will develop your understanding of generalist finance issues. You'll also develop specialist practical skills in quantitative methodology and risk management.

Worldwide growth in the financial services sector has fuelled the demand for graduates with a sound understanding of generalist finance issues, combined with specialist skills in quantitative methodology and risk management. This course meets this demand. It builds on the Business School’s established strengths in economics and finance. 

The course advances your understanding of the:

  • role of finance in a modern economy
  • operation and behaviour of financial markets and investors

It will enable you to develop a career in the financial services sector. It will also suit future quantitative analysts in economics and finance.

What you'll learn

This course will provide opportunities for you to develop relevant skills and a practical understanding of:

  • the behaviour of international financial markets
  • the ability to analyse the strategies of financial market investors
  • the role of finance in a modern economy 

Advanced software

Where possible you will have access to advanced statistical software including:

  • Eviews
  • SPSS
  • Stata
  • Gauss
  • MATLAB
  • SAS
  • Maple
  • Minitab

You will also have access to a number of financial databases including:

  • Bloomberg
  • Thompson Financial's DataStream
  • Fame
  • Amadeus
  • WRDS
  • Compustat
  • CRSP
  • Oriana

Your development

On completion of this course, you will be able to demonstrate practical skills and the ability to:

  • deal with complex issues both systematically and analytically
  • use this analysis to make sound judgements
  • deploy advanced analytical techniques in the areas of finance and risk management
  • critically assess the quality of the analytical data generated by these techniques
  • synthesise and present relevant data, conclusions and recommendations to both specialist and non-specialist audiences
  • apply the knowledge, skills and understanding gained on the programme to complex issues within finance and related industries

Career focus

The course will suit those wanting to develop a career in the broad financial services sector. It is particularly relevant to a career as a quantitative analyst in the investment banking and risk management fields.

Graduates from this course have undertaken various roles including:

  • Senior Associate Chartered Accountant
  • Financial Trader
  • Auditor
  • Risk Analyst
  • Economist
  • Financial Analyst
  • Investor Relations Advisor

Course recognition by professional bodies

Course recognition by professional bodies

Chartered Banker Institute

We are a Chartered Banker Institute Centre of Excellence. We are one of only 8 centres globally to have this status. This course has a Chartered Banker pathway so you can achieve the Associated or full Member status of the Chartered Banker Institute. Membership forms a solid base for a successful career in banking and financial services.

Delivery

The course is modular. Of particular note is the practical module on MATLAB. This provides you with a detailed understanding of how this programming tool can be used for effective empirical modelling.

Guest lectures

You can also attend guest lectures which complement the study of theoretical frameworks. These lectures analyse the most recent trends in financial markets and banking industries. They also provide an overview of the available opportunities within the financial sector.

Networking opportunities 

Throughout the academic year we hold many events on campus that you are welcome to join. Events are topical and provide great opportunities for you to network with:

  • national and multinational organisations
  • alumni
  • peers

Practitioner and research led teaching

Profiles of the academic staff who teach on the course:

Fees & Funding

2018-2019 fees

The fees displayed here are per course.

MSc

UK

Full time: £7,200

EU

Full time: £7,200

International

Full time: £19,200

Entry Requirements

2:1 honours degree, or an international equivalent. You also need to show a firm grasp of:

  • basic calculus
  • probability theory
  • statistical inference

If this is not evident from your transcripts, please use your personal statement to give details of your mathematical knowledge.

International Students

To study this course you need to meet our Band 6 English Language requirements:

Direct Entry: IELTS 6.5 overall (with a minimum of 6.0 in all sub-skills)

If you have lower English Language scores, you may be accepted onto a pre-sessional English course. 

Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests.

The equivalent academic qualifications that we accept are listed on our country pages.

How to Apply

Use our Applicant Portal to apply for your course. We have a step-by-step guide to help you.

Start dates

The course starts in September. There is no application closing date for this course.

We suggest international students apply at least two months before the course starts. This is so that you have enough time to make the necessary arrangements.

Application fee

There is a non-refundable application fee of £50. You need to pay this before we can process your application.

To pay your application fee and make an application please visit our WebStore.

Deposit

If you live outside the UK/EU you must:

  • pay a deposit of £1,500
  • or submit an official letter of sponsorship

The deposit is payable after you receive an offer to study at Newcastle University. The deposit is non-refundable, but is deducted from your tuition fees when you register.

Student Profiles