Program Goal

The goal of this program is to produce competent graduates who will be innovative change-makers in the field of Actuarial science. The program takes the field of Mathematics, Accounting and Finance to the next level by developing a career that uses Technology, Mathematics, Statistics, and Business principles to make better decisions using data.

Career Opportunities

• Actuarial Scientist
• Financial Consultant/Analyst
• Entrepreneur
• Accountant

Goal of the Program

• To provide academic and professional training by exposing students to multidisciplinary knowledge such as Probability, Statistics, Economics, Investment, Finance, Law, Taxation, and Accounting.
• To develop confidence and skills in solving practical problems in actuarial science and other related fields.
• To prepare students who wish to join and further their studies in the actuarial science profession.
• To produce specialists expected to work in life and general insurance, pensions and investment.
• To diversify and expand the scope of fields that actuaries can practice, such as health insurance, solvency measurements and asset-liability management, financial risk management among others

Duration of the Programme

Four (4) Academic Years- Eight (8) semesters

Admission Requirements

1. KCSE certificate with a minimum aggregate of C+ (plus) with a minimum of C+ (Plus) in Mathematics and C+ (plus) in English.
2. Have a Diploma in Actuarial Science or any other related field from an accredited institution recognised by the University Senate.

Learning Outcomes

1. Apply analytical and quantitative methods to solve problems in insurance, finance, economics, investment, pension and financial risk management.
2. Solve actuarial problems using model outputs.
3. Develop a formula to calculate the expected present value of complex insurance policies
4. Demonstrate hands-on experience in the corporate world.
5. Apply the knowledge of stochastic models when determining the behavior of security prices.
6. Evaluate the financial implications of risk and uncertainty by developing solutions to reduce the likelihood of undesirable events.