Quantitative Finance and Risk Management MSc

Our course provides the opportunity to develop an understanding of generalist finance issues. You'll develop specialist practical skills in quantitative methodology and risk management. This allows you to develop a career in the financial services sector. It will also suit future quantitative analysts in investment banking and risk management fields.

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

The Quantitative Finance and Risk Management MSc 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
  • an understanding of the role of finance in a modern economy

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.

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, and to 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, and to 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

Graduates from this course have undertaken various roles including:

  • Senior Associate Chartered Accountant
  • Financial Trader
  • Auditor
  • Risk Analyst
  • Economist
  • Financial Analyst

Practitioner and research led teaching

View profiles of the module leaders for this course:

  • Professor Robert Sollis (Degree Programme Director)
  • Dr Markus Jochmann 
  • Dr Roberto Bonilla Trejos
  • Dr Minh Nguyen
  • Dr Xuegi Dong
  • Dr Jong Shin
  • Dr Grega Smrkolj

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

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.


The course is modular, comprising:

  • 160 credits of compulsory modules
  • 20 credits of optional modules
  • full time over 12 months

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.


Newcastle University Business School is accredited by the:

  • Association to Advance Collegiate Schools of Business (AACSB)
  • European Quality Improvement System (EQUIS)
  • Association of MBAs (AMBA)

Only 1% of business schools worldwide hold triple accreditation. Our Business School is part of this elite group and this accolade is a huge endorsement. It reflects the investments we make for our students through providing:

  • a high quality teaching environment
  • innovative programming
  • active engagement with industry


Newcastle University Business School is one of the largest Schools in the University. We have over 3,500 students representing over 93 nationalities. Our location and modern design creates a dynamic centre point for a valuable network of:

  • regional, national and international thought leaders
  • alumni
  • leading professions

Our facilities provide:

  • a flexible and dedicated conference suite with panoramic views across the city
  • Wi-Fi enabled connectivity throughout the building, including three computer clusters housing approximately 120 PCs
  • four large lecture theatres and 21 seminar rooms, providing comfortable teaching and group study space
  • a dedicated Hub and Base providing a balanced mix of study space and relaxation areas
  • a contemporary caf
MSc Award
Full-time Study Mode
12 months Duration

Entry Requirements For This Course

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.

Pre-sessional English Course Requirements

  • 6 week Pre-sessional entry: IELTS 6.0 overall (with 6.0 in writing and a minimum of 5.5 in all other sub-skills)    
  • 10 week Pre-sessional entry: IELTS 6.0 overall (with 1 sub-skill at a minimum of 5.0 and 3 sub-skills at a minimum of 5.5, including writing)

You can study a pre-sessional English course at our INTO Newcastle Centre.

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