Actuarial Mathematics
-
this is reflected in the incredibly cheap prices of taxis which are often used by students (this definitely wouldn't be the case in other cities such as London!
← | →
-
English students are more indipendent in their studies, teachers provide them a huge bibliography and students can choose the most suitable books for them work.
← | →
Bachelor's degree
In Leeds
Description
-
Type
Bachelor's degree
-
Location
Leeds
Actuaries use mathematical, statistical, financial and economic theory to solve real business problems, typically involving risk, uncertainty and the financial impact of undesirable events. There is an increasing demand for actuaries in both the private and public sectors, working within a variety of areas such as banking, investment management, consultancy, manufacturing, transport, insurance and pensions.
On this course, you’ll be taught jointly by the School of Mathematics and Leeds University Business School, exploring key topics in mathematics, finance, economics and accounting. You’ll be intellectually stimulated whilst preparing for a potential career that is highly financially-rewarding.
This programme has significant coverage of The Actuarial Profession’s (Institute/Faculty of Actuaries) first level examinations. On graduation, you may be able to apply for exemptions from some of The Actuarial Profession’s exams depending on your grades and the agreements in place between the University and the Actuarial Profession at that time (these agreements are subject to periodic review.
Facilities
Location
Start date
Start date
About this course
An actuarial mathematics degree can take you down many career paths into some of the highest paid and most satisfying roles in employment. Leeds actuarial mathematics graduates are extremely well placed for employment after their degree. The University of Leeds is the 5th most targeted University in the UK by graduate recruiters, according to High Fliers’ The Graduate Market in 2017 report.
Traditionally, actuaries have been employed in the insurance and pensions industry, but there is increasing demand for their analytical skills in other areas of the private and public sector, for example, financial services such as banking and investment management, consultancy, manufacturing, transport, and energy.
A-level: AAA/A*AB where the first grade quoted is Mathematics.
AAB/A*BB including Further Mathematics and where the first grade quoted is Mathematics, or AAB/A*BB where the first grade quoted is in Mathematics plus A in AS Further Mathematics.
Where an A-Level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade.
Certain options can receive Royal Statistical Society accreditation and others can receive exemptions from the Institute of Actuaries.
Reviews
-
this is reflected in the incredibly cheap prices of taxis which are often used by students (this definitely wouldn't be the case in other cities such as London!
← | →
-
English students are more indipendent in their studies, teachers provide them a huge bibliography and students can choose the most suitable books for them work.
← | →
Course rating
Recommended
Centre rating
Trainee
Ancient Student
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 14 years
Subjects
- Risk
- Statistics
- Mathematics
- Economics
- Actuarial Mathematics
- Financial Mathematics
- Finance
- Financial
- Financial Training
- IT risk
- Insurance
- Public
- School
- University
- Economic Theory
- Finance Economics
- GCSE Mathematics
- Probability
Course programme
This course provides detailed knowledge and understanding of the mathematical and statistical tools relevant to all areas of financial and actuarial mathematics, including stochastic processes, statistics of insurance, survival and risk theory, as well as the mathematical theories underlying these areas. You will gain an appreciation of the interdisciplinary nature of actuarial science and develop a high level of analytical and problem solving skills, in statistical analysis, numerical techniques, and computer applications.
In the first year of the course you will study key topics in mathematics, finance, economics and accounting, including probability, statistics, and the mathematics of financial and insurance markets. You’ll be provided with a solid foundation in actuarial mathematics.
In the second year, you’ll study core modules in financial mathematics, statistical methods, and business finance. At this stage, you’ll be also able to choose some optional modules.
In the final year of the course, you’ll have further core modules in actuarial mathematics, financial modelling and statistics. You’ll also be able to choose from a wide range of optional modules in mathematics, statistics, finance, and economics, allowing you to explore the topics in actuarial mathematics that really interest you.
Modules
Year 1
Compulsory modules
- Introductory Financial Accounting
- Introductory Management Accounting
- Economic Theory and Applications 1
- Calculus and Mathematical Analysis
- Numbers and Vectors10 credits
- Linear Algebra with Applications
- Modelling with Differential Equations
- Financial Mathematics 1
- Probability and Statistics I
- Probability and Statistics II
Year 2
Compulsory modules
- Intermediate Microeconomics
- Intermediate Financial Accounting
- Intermediate Macroeconomics
- Financial Mathematics 2
- Financial Mathematics 3
- Statistical Methods10 credits
- Introduction to Markov Processes
- Survival Analysis
Year 3
Compulsory modules
- Project in Mathematics
- Actuarial Mathematics 1
- Actuarial Mathematics 2s
- Stochastic Financial Modelling
- Time Series
Optional modules
- Intermediate Management Accounting
- Advanced Microeconomics
- Transnational Corporations in the World Economy
- Economic Development
- Economics of Famines
- Environmental Economics
- Public Enterprise and Regulation
- Advanced Macroeconomics
- Auditing and Information Systems
- Auditing and Assurance Services
- Advanced Accounting Theory
- Principles of Taxation
- The Economics of Unions
- Corporate Governance
- Economics of Business and Corporate Strategy
- Real Analysis
- Further Linear Algebra
- Discrete Mathematics
- Discrete Mathematics with Computation
- Vector Calculus
- Linear Differential Equations and Transforms
- Nonlinear Differential Equations
- Numerical Analysis
- Numerical Analysis with Computation
- Introduction to Optimisation
- Statistical Modelling
- Environmental Statistics
- Computational Mathematics
- Analytic Solutions of Partial Differential Equations
- Numerical Methods
- Modern Numerical Methods
- Linear Regression and Robustness
- Statistical Theory
- Multivariate Analysis
- Bayesian Statistics
- Generalised Linear Models
Actuarial Mathematics