MSc Mathematics of Sustainable Finance

Key information

Mode of delivery
Delivery type
Full-time, Part-time
Start date
1 year


Contact our enquiries team

Contact us


Are you interested in pursuing a career in Mathematical Finance while also positively contributing to society and the environment?

Our MSc Mathematics of Sustainable Finance program is tailored to equip you with the essential skills and knowledge to excel in this groundbreaking field. Our program stands out as it provides you with the necessary mathematical foundation and expertise to develop financial products that promote environmental, social, and governance (ESG) sustainability. You will have the opportunity to explore the latest areas of data science and their applications in financial mathematics.

Upon completion of this program, you will have a broad range of quantitative, numerical, and computational skills that are highly-valued and directly applicable in the financial sector and beyond.

Scottish Financial Risk Academy

We are proud to say this programme has been created in collaboration with partners at The Scottish Financial Risk Academy; the SFRA offers a series of activities with Industry Experts, covering Industry-led teaching, MSc and PhD projects and post-doctoral research. As part of this collaboration guest lectures will be conducted with members of the SFRA, where they will talk to our students about their experience and advice for working with sustainable finance.

In Search of the African Einstein

In this episode of our podcast series 'A Future Made' we turn the spotlight on Africa to find out how an inspiring partnership between the University and the African Institute for Mathematical Sciences (AIMS) is changing the lives of students and academics alike, and has sparked a quest to find 'the next Einstein' within Africa.

Listen now


Course content

Year 1

Semester 1

Mandatory courses

  • Climate Change and Sustainability (F71GF)
  • Derivatives Markets and Pricing (F71DB)
  • Statistical Inference (F71ST)
  • Algorithmic and Scientific Programming (F78AP)

Optional courses

  • Financial Markets (C31FM)
  • Statistical Machine Learning (F21ML)

Semester 2

Mandatory courses

  • Financial Economics 1 (F71AH)
  • Derivative Pricing and Financial Modelling (F71DP)
  • Bayesian Inference & Computational Methods (F79BI)

Optional courses

  • Applied Risk Management (F71AR)
  • Data Analytics and Time Series Analysis (F71DA)

Semester 3

  • Dissertation (F71FD)

Go Global

Some of our Postgraduate Taught Masters Programmes are eligible for Inter-Campus Transfer. Please contact for further information.

Fees and funding

Tuition fees

Tuition fees
Status [footnote 1] Full-time Part-time
UK 9152 4576
Overseas [footnote 2] 20376 10188


  1. Your residency 'status' is usually defined as the country where you have been ordinarily resident for the three years before the start of your course. Find out more about tuition fees.
  2. Overseas includes applications from European Union countries who do not hold Pre-Settled or Settled status in the UK. Read more about the application process for EU nationals.

Scholarships and bursaries

We aim to encourage well-qualified, ambitious students to study with us and we offer a wide variety of scholarships and bursaries to achieve this. Over £6 million worth of opportunities are available in fee and stipend scholarships, and more than 400 students benefit from this support.

View our full range of postgraduate scholarships.

Entry requirements


An honours degree (first or second class) or equivalent overseas qualifications in mathematics or statistics will be required for entry.

English language requirements

If your first language is not English, or your first degree was not taught in English, we'll need to see evidence of your English language ability. The minimum requirement for English language is IELTS 6.5 or equivalent.

We offer a range of English language courses to help you meet the English language requirement prior to starting your masters programme:

  • 20 weeks English (for IELTS of 5.0 with no skill lower than 4.5)
  • 14 weeks English (for IELTS of 5.0 with minimum of 5.0 in writing and no skill lower than 4.5)
  • 10 weeks English (for IELTS of 5.5 with no skill lower than 5.0)
  • 6 weeks English (for IELTS 5.5 with no skill lower than 5.5)

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