This course covers the actuarial mathematics, statistics and models used in non-life insurance actuarial practice. Topics covered include: basic concepts of decision theory and Bayesian statistics; loss distributions and reinsurance, risk models including compound Poisson; estimation of aggregate claims distribution; probability of ruin; premium rating and credibility; experience rating systems; claims reserving for loss run-off data and generalised linear models. Students will apply these techniques with respect to principles of effective general insurance management. This course will cover the requirements for the Actuaries Institute CT6 course and students gaining at least a credit assessment will be recommended for exemption from the CT6 course.