Course summary
Financial mathematicians are interested in making good decisions in the face of uncertainty. Through our rigorous programme, you will develop the skills and knowledge to become a major decision maker and influencer in your chosen career. Financial maths is about learning to interpret and manipulate data to draw valuable conclusions and make predictions. This is particularly important in business and finance, but the skills gained from this programme are widely applicable and highly sought after. Over the three years, you will be able to draw on expertise from three specialist departments: Mathematical Sciences; Accounting and Finance; and Economics. During your first year, you will build on your previous knowledge and understanding of mathematical methods and concepts. Modules cover a wide range of topics from calculus, probability and statistics to logic, proofs and theorems. As well as developing your technical knowledge and mathematical skills, you will also enhance your data analysis, problem-solving and quantitative reasoning skills. During this year, you will also receive an introduction to accounting and finance, which will provide you with a comprehensive understanding of the concepts and techniques of the discipline, including financial accounting, managerial finance, and financial statement analysis. In the second year, you will further develop your knowledge in analysis, probability and statistics. During this year, you will also begin to explore advanced finance and will benefit from modules in economics at managerial level. These will provide you with insight into micro and macroeconomics, and their related issues. You will develop real-world knowledge and experience by applying your analytical skills, interpreting events and evaluating policies. This will be instrumental in developing a career related to banking, finance, international payments and exchange rates, and monetary policy. During your third year, you will delve deeper into the theory of probability and will explore the concept of statistical inference. Alongside this, you will gain valuable industry and employability skills through a dedicated careers-focused module. This final year will also be highly customisable, allowing you to select from a range of modules to suit your own interests and career aspirations.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- GN13
- Institution code:
- L14
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - AAA
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Access to HE Diploma
International Baccalaureate Diploma Programme - 36 points
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Lancaster University
Bailrigg
Lancaster
LA1 4YW