Introduction

This programme provides a rigorous understanding of the principles of mathematical and economic models along with the practical tools used by financial institutions today.

This programme is studied on campus.

The MSc Financial Mathematics is delivered jointly by the Institute of Pure and Applied Mathematics (IPAM) and the Business School and is aimed at numerate students from a broad range of backgrounds who wish to work in the finance industry.

The combination of mathematics and business courses provides our graduates with a rigorous understanding of the mathematical and economic models used in finance today, as well as the practical knowledge to apply their skills and knowledge to solve real-world finance problems.

You will have access to our world-class facilities, including our Bloomberg finance lab, a software platform that provides real-time and historical data, market-moving news and analytics used by some of the world's leading financial decision-makers.

Sample Lecture

Click here to watch a sample lecture by Professor Jarosław Kędra.

In addition, you will access key Mathematica software facilities, giving you the opportunity to work with the big data sets needed for the microstructure studies employed by the financial and banking sectors.

Part of this programme is run in collaboration with Bentley University in Boston, one of the leading business-focused universities in the United States. Prof Victoria Steblovskaya, Professor of Mathematical Sciences at Bentley University, regularly visits the University of Aberdeen and co-supervises a number of student research dissertations. This valuable partnership further enhances the international scope of the programme and provides valuable networking opportunities for students seeking to progress to PhD programmes at Bentley University or other US institutions.

In the second semester, you can choose from a number of optional courses, alongside your core courses, depending on your particular interests or career plans. Current options include Economics of Financial Markets or Real Options and Decision Making and either Empirical Methods in Finance Research or Portfolio Analysis and Management.

Degree marketing image

Key Programme Information

At a Glance

Learning Mode
On Campus Learning
Degree Qualification
MSc
Duration
12 months or 36 months
Study Mode
Full Time or Part Time
Start Month
September
Location of Study
Aberdeen

What You'll Study

Semester 1

Semester 1

Compulsory Courses

Discrete Time Models (MX5012) - 15 Credit Points

There is an interest in raising the level of understanding of mathematics in the financial sector. This course is a part of the new MSc programme in Financial Mathematics and provides students with the theoretical and practical skills related to discrete time models of financial markets.

View detailed information about this course

Economics Theory for Finance (BU5063) - 15 Credit Points

The course will deepen and broaden students' understanding of economic models equipping them with the knowledge and skills that are essential to identify appropriate techniques for solving problems of decision making in financial markets. The module will be invaluable for students wishing to pursue a career as economists working in the financial sector and for those aiming to progress to PhD research.

View detailed information about this course

Econometric Theory & Data Analysis for Finance (BU5066) - 15 Credit Points

The course will provide students with understanding of and ability to apply the core econometrics theory to the analysis of financial data. Alongside the lectures, the course will include practical classes that will offer students a 'hands on' training in the use, presentation and interpretation of economic and financial data. The course will underpin the acquisition of skills that are essential component of the toolkit of a financial economist working in the private and public sector and in academia alike.

View detailed information about this course

Mathematics for Finance (MX5013) - 15 Credit Points

There is an interest in raising the level of understanding of mathematics in the financial sector. This course is a part of the new MSc programme in Financial Mathematics and provides students with the theoretical and practical skills related to discrete time models of financial markets.

View detailed information about this course

Semester 2

Semester 2

Compulsory Courses

Continuous Time Models (MX5519) - 15 Credit Points

There is an interest in raising the level of understanding of mathematics in the financial sector. This course is a part of the new MSc programme in Financial Mathematics and provides students with the theoretical and practical skills related to discrete time models of financial markets.

View detailed information about this course

Time Series (MX5520) - 15 Credit Points

​There is an interest in raising the level of understanding of mathematics in the financial sector. This course is a part of the new MSc programme in Financial Mathematics and provides students with the theoretical and practical skills related to discrete time models of financial markets.

View detailed information about this course

Optional Courses

Choose two from:

Semester 3

Semester 3

Compulsory Courses

Financial Mathematics Dissertation (MX5903) - 60 Credit Points

There is an interest in raising the level of understanding of mathematics in the financial sector. This course is a part of the new MSc programme in Financial Mathematics and provides students with the theoretical and practical skills related to mathematical modelling of financial markets.

View detailed information about this course

Course Availability

We will endeavour to make all course options available; however, these may be subject to timetabling and other constraints. Please see our InfoHub pages for further information.

How You'll Study

Learning Methods

  • Group Projects
  • Individual Projects
  • Lectures
  • Research
  • Tutorials

Assessment Methods

There are eight modules which undergo continuous assessment as well as a final two hour written exam.

Why Study Financial Mathematics?

  • This programme provides a rigorous understanding of the principles of mathematical and economic models along with the practical tools used by financial institutions today.   
  • Delivered jointly by the Institute of Pure and Applied Mathematics (IPAM) and the Business School
  • Aimed at numerate students from a broad range of backgrounds including Computing Science, Economics, Engineering, Mathematics or Physics who wish to work in the finance industry.  
  • You will have access to our world-class facilities, including our Bloomberg finance lab, a software platform that provides real-time and historical data, market-moving news and analytics used by some of the world's leading financial decision-makers.  
  • Part of this programme is run in collaboration with Bentley University in Boston, one of the leading business-focused universities in the United States.
  • Course options depending on your particular interests or career plans.

Entry Requirements

Qualifications

The information below is provided as a guide only and does not guarantee entry to the University of Aberdeen.

Our minimum entry requirement for this programme is a degree in a numerate subject such as Computing Science, Economics, Engineering, Mathematics or Physics, at 2:2 (upper second class) UK Honours level (or an Honours degree from a non-UK institution which is judged by the University to be of equivalent worth).

Please enter your country to view country-specific entry requirements.

English Language Requirements

To study for a Postgraduate Taught degree at the University of Aberdeen it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:

IELTS Academic:

OVERALL - 6.5 with: Listening - 5.5; Reading - 5.5; Speaking - 5.5; Writing - 6.0

TOEFL iBT:

OVERALL - 90 with: Listening - 17; Reading - 18; Speaking - 20; Writing - 21

PTE Academic:

OVERALL - 62 with: Listening - 51; Reading - 51; Speaking - 51; Writing - 54

Cambridge English Advanced & Proficiency:

OVERALL - 176 with: Listening - 162; Reading - 162; Speaking - 162; Writing - 169

Read more about specific English Language requirements here.

Document Requirements

You will be required to supply the following documentation with your application as proof you meet the entry requirements of this degree programme. If you have not yet completed your current programme of study, then you can still apply and you can provide your Degree Certificate at a later date.

CV
an up-to-date CV/Resumé
Degree Certificate
a degree certificate showing your qualifications
Degree Transcript
a full transcript showing all the subjects you studied and the marks you have achieved in your degree(s) (original & official English translation)
Personal Statement
a detailed personal statement explaining your motivation for this particular programme

Fees and Funding

You will be classified as one of the fee categories below.

Fee information
Fee category Cost
Home / EU / RUK Students £11,000
Tuition Fees for 2020/21 Academic Year
International Students £21,000
Tuition Fees for 2020/21 Academic Year

Additional Fees

  • In exceptional circumstances there may be additional fees associated with specialist courses, for example field trips. Any additional fees for a course can be found in our Catalogue of Courses.
  • For more information about tuition fees for this programme, including payment plans and our refund policy, please visit our InfoHub Tuition Fees page.

Our Funding Database

View all funding options in our Funding Database.

Careers

  • Studying Financial Mathematics equips you with the highly sought after problem-solving and decision-making needed in the financial services industry and beyond.
  • Banks, insurance companies, wealth management companies and brokerage firms all require highly numerate graduates who can analyse data, build forecast models and predict financial trends.
  • In addition to careers in finance, graduates may find jobs in a variety of other sectors where mathematical skills are in demand, including government, marketing or science.
  • Many Financial Mathematics graduates also go on to pursue PhDs, including in the UK and USA.

What our Alumni Say

Nikolay Miller

Nikolay Miller

Nikolay Miller

Job Details
PhD Student, University of New Mexico
Graduated 2017

The MSc in Financial Mathematics has been an outstanding experience. It has helped me to get into a PhD program of my choice and helped me in getting an internship at one of the major North European banks. The strength of the program is in the learning environment that is created by the professors. I think that such a properly rigorous and clear presentation could only be achieved by the remarkable professors at the University of Aberdeen, and thus I highly recommend this program.

Our Experts

Programme Coordinators
Professor Jarosław Kędra
Dr Mauro Papi

Information About Staff Changes

You will be taught by a range of experts including professors, lecturers, teaching fellows and postgraduate tutors. Staff changes will occur from time to time; please see our InfoHub pages for further information.

Get in Touch

Contact Details

Address
Student Recruitment & Admissions Service
University of Aberdeen
University Office
Regent Walk
Aberdeen
AB24 3FX