About the Program

Program Objectives

• To develop in students, an appreciation of actuarial methods, and of the links between the theory of the subject and their practical application in industry;

• To develop in students, a logical, formal and quantitative approach to formulating and solving problems;

• To provide a foundation of knowledge about the financial sector and risk management;

• To provide students with a knowledge and skills base from which to develop further abilities to understand and analyse financial markets and institutions;

• To develop all rounded actuarial professionals with good grounding in the mathematical and statistical approaches;

• To provide enough academic training for students who wish to pursue postgraduate studies in actuarial science or other related areas.

• To provide adequate knowledge for students to sit for the early professional examinations organized by international actuarial organizations

Admission Requirements

• Candidates must meet the minimum University entry requirements.

• Candidates must have passed Mathematics with a minimum grade of B at K.C.S.E., or an equivalent qualification.

Duration of the Program

• Candidates shall normally have enrolled for courses over a period of not less than four (4) academic years.

Course Structure

• Courses will be offered in units, in which a course unit is defined as a three-hour lecture or six hours tutorial or nine hours practical session per week per semester.

• Students will take a minimum of 14 units and maximum of 16 units in each year of study. Students wishing to take more than 16 units will require senate approval.

• In the first year, students will take 16 units from the Department of Statistics and Actuarial Science,

• In second year, students will take 14 core (C ) units from the Department, and a further 2 units from the elective (E ) courses offered by the Department.

• In the third and fourth years of study, students will take 12 core units, plus an additional 4 units from the elective units offered by the Department.

Mode of Delivery

• Face-to-face

• On-line

Program Courses | ||

Year 1 Semester 1 | ||

MAC 107: | Introduction to Actuarial Science | C |

MAC 105: | Micro economics | C |

MAS 101: | Descriptive Statistics | C |

MAS 103: | Introduction to Probability Theory | C |

MMA 100: | Basic Mathematics | C |

MMA 111: | Introduction to Calculus | C |

MIT 101: | Basic Concepts of IT | C |

MIT 103: | Web Browsing and Communication | C |

Year 1 Semester 2 | ||

MAC 102 | Fundamentals of Actuarial Mathematics I | C |

MAC 104: | Linear Models and Forecasting | C |

MAC 106: | Macroeconomics | C |

MAS 102 | Probability and Distribution Theory | C |

MMA 101: | Analytic Geometry | C |

MMA 103: | Linear Algebra I | C |

MIT 104: | Descriptive Statistical Analysis and Presentation | C |

Year 2 Semester 1 | ||

MAC 201: | Financial Mathematics I | C |

MAC 203: | Fundamentals of Actuarial Mathematics II | C |

MAC 205: | Mathematical Modelling | E |

MAS 201: | Sample Surveys | E |

MAS 203: | Economic Statistics | C |

MMA 215: | Calculus | C |

MMA 201: | Linear Algebra II | C |

MMA 202: | Vector Analysis | E |

MIT 201: | Statistical Computing I | C |

MIT 203: | Collecting and Organising Data | C |

Year 2 Semester 2 | ||

MAC 206: | Actuarial Mathematics I | C |

MAC 210: | Investment and Assets Management I | C |

MAS 204: | Demography and Social Statistics | C |

MAS 202: | Principles of Statistical Inference | E |

MMA 216: | Multivariate Calculus | C |

MMA 208: | Introduction to Analysis | C |

MIT 202: | Data Management | C |

MIT 204: | Scientific Report Reading Writing & Presentation | C |

Year 3 Semester 1 | ||

MAC 303: | Actuarial Mathematics II | C |

MAC 305 | Pension Mathematics | C |

MAS 305 | Stochastic Processes I | C |

MMA 300 | Real Analysis I | C |

MMA 301 | Ordinary Differential Equations I | C |

MIT 301: | Computer Based Survey Techniques | C |

MIT 303: | Computers Applied to Mathematics | C |

Year 3 Semester 2 | ||

MAC 300: | Financial Mathematics | C |

MAC 302: | Method of Actuarial Investigations | C |

MAC 304: | Actuarial Life Contingencies I | C |

MAC 306: | Financial Economics | |

MAS 304: | Test of Hypothesis | E |

MAS 314: | Research Methodology | C |

MMA 303: | Complex Analysis I | E |

MIT 304: | Introduction to Object Oriented Programming | C |

MIT 302: | Statistical Computing II | C |

MAS 317: | Industrial Attachment | C |

Year 4 Semester 1 | ||

MAC 403: | Actuarial Life Contingencies II |

About the Program

Program Objectives

• To develop in students, an appreciation of actuarial methods, and of the links between the theory of the subject and their practical application in industry;

• To develop in students, a logical, formal and quantitative approach to formulating and solving problems;

• To provide a foundation of knowledge about the financial sector and risk management;

• To provide students with a knowledge and skills base from which to develop further abilities to understand and analyse financial markets and institutions;

• To develop all rounded actuarial professionals with good grounding in the mathematical and statistical approaches;

• To provide enough academic training for students who wish to pursue postgraduate studies in actuarial science or other related areas.

• To provide adequate knowledge for students to sit for the early professional examinations organized by international actuarial organizations