Actuarial Science

Course Structure

1. Probability and Statistics for Actuarial Science
2. Statistics for Insurance
3. Probability and Statistics for Actuarial Science 2
4. Time Series Modelling and Simulation
5. Contingencies 1
6. Contingencies 2
7. Business Economics
8. Financial Mathematics
9. Survival Models
10. Finance & Financial Reporting
11. Portfolio Theory and Asset Pricing Models
12. Stochastic Processes
13. Mathematics of Financial Derivatives
14. Financial Modelling
15. give you the depth of technical appreciation and skills appropriate to a Master\x92s level programme in actuarial science
16. provide successful students with eligibility for subject exemptions from the Core Technical series of examinations of the actuarial profession. This means obtaining a thorough knowledge and understanding of various core actuarial techniques and gaining current knowledge and understanding of the practice of some of the major areas in which actuaries are involved
17. ensure you are competent in the use of information technology, and are familiar with computers, together with the relevant software
18. introduce you to an appreciation of recent actuarial developments, and of the links between subject theories and their practical application in industry
19. prepare you for employment within the actuarial profession and other financial fields
20. provide suitable preparation for students who wish to proceed to the MSc in Applied Actuarial Science.
21. statistical, economic or specific actuarial mathematical techniques at an advanced level and their applications to insurance, covering areas such as financial mathematics, financial accounting, survival models, economics, financial economics, time series and stochastic processes
22. the actuarial and financial theory and the complex techniques applicable to solve problems in some of the major areas of current professional actuarial practice.
23. the ability to demonstrate a systematic understanding of the main body of knowledge for the programme
24. the ability to demonstrate advanced skills in calculation and manipulation of the material written within the programme
25. the ability to apply a range of concepts and principles in various contexts
26. the ability for logical argument using specialised knowledge
27. the ability to demonstrate advanced skills in solving problems in complex situations by various appropriate methods.
28. the specific mathematical and statistical techniques used in actuarial science, and in their application to solving actuarial and other financial problems
29. the specific information technology and software used in actuarial science (optional learning outcome: this will only apply if you take the Financial Modelling module)
30. understanding the practical applications of programme material in insurance and finance
31. the ability to develop simple actuarial computer models to solve actuarial problems and to interpret and communicate the results (optional learning outcome: this will only apply if you take the Financial Modelling module).
32. problem-solving skills, relating to qualitative and quantitative information (including cases where information/data is not complete)
33. communications skills, covering both written and oral communication to both technical and non-technical audiences
34. numeracy and computational skills
35. information technology skills such as word-processing and spreadsheet use, internet communication etc
36. time-management and organisational skills, as evidenced by the ability to plan and implement efficient and effect modes of working
37. study skills needed for advancing knowledge and understanding, for developing new skills and for continuing professional development.