About the Program
The program covers five major areas of Applied Statistics namely:
• Mathematical Statistics
• Economic Statistics
• Demography and Social Statistics
• Actuarial Science
• General Applied Statistics
Program Objectives
• To equip the student with a broad-based statistical knowledge and skills;
• To train statisticians for employment in public and private sectors.
• To prepare candidates for postgraduate studies in statistics
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 units from the Department, and a further 2 units from the elective courses offered by the Department dependent on their desired area of specialization.
• 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 dependent on their desired area of specialization.
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 | ||
MAS 102: | Probability and Distribution Theory I | C |
MAS 106: | Introduction to Biostatistics | C |
MAC 104: | Linear Models and Forecasting | C |
MAC 106: | Macroeconomics | C |
MAC 102: | Fundamentals of Actuarial Mathematics I | E |
MMA 103: | Linear Algebra I | C |
MMA 101: | Analytical Geometry | C |
MIT 104: | Descriptive Statistical Analysis & Presentation | C |
MIT 102: | Handling data | |
Year 2 Semester 1 | ||
MAS 201: | Sample Surveys | C |
MAS 203: | Economic Statistics | C |
MAS 207: | Probability and Distribution Theory II | C |
MMA 215: | Calculus | C |
MMA 202: | Vector Analysis | C |
MIT 201: | Statistical Computing I | C |
MIT 203: | Collecting and Organising Data | |
Year 2 Semester 2 | ||
MAS 202: | Principles of Statistical Inference | C |
MAS 204: | Demography and Social Statistics | C |
MAC 206: | Actuarial Mathematics I | C |
MAC 210: | Investment and Asset Management I | E |
MMA 201: | Linear Algebra II | C |
MMA 206: | Algebraic Structures | 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 | ||
MAS 303: | Estimation Theory | |
MAS 305: | Stochastic Processes I | |
MAS 307: | Theory of Sampling Techniques | |
MAS 309: | Time Series Analysis and Forecasting | |
MAS 311: | Statistical Demography I | |
MAS 313: | Principles of Econometrics | |
MAS 315: | Statistical Genetics | |
MMA 300: | Real Analysis I | |
MMA 301: | Ordinary Differential Equations I | |
MIT 301: | Computer Based Survey Techniques | |
MIT 303: | Computers Applied to Mathematics | |
Year 3 Semester 2 | ||
MAS 302: | Mathematical Methods | C |
MAS 304: | Test of Hypotheses | C |
MAS 306: | Statistical Modelling | C |
MAS 308: | Analysis of Experimental Designs I | E |
MAS 310: | Stochastic Decision Models I | E |
MAS 312: | Statistical Computing II | E |
MAS 314: | Research Methodology | C |
MAC 300: | Financial Mathematics II | E |
MAC 302: | Methods of Actuarial Investigations | E |
MAC 304: | Actuarial Life Contingencies I | E |
MAC 306: | Financial Economics | E |
MMA 303: | Complex Analysis I | |
MMA 312: | Operations Research I | |
MIT 304: | Introduction to Object Oriented Programming | C |
MIT 302: | Statistical Computing II | C |
MAS 317: | Industrial Attachment | C |
Year 4 Semester 1 | ||
MAS 401: | Further Distribution Theory | C |
MAS 403: | Non parametric Methods | C |
MAS 405: | Analysis of Experimental Designs II | E |
MAS 407: | Further Time Series Analysis | E |
MAS 409: | Further Sample Survey Theory and Methods | E |
MAS 411: | Stochastic Decision Models II | E |
MAS 413: | Stochastic Models for Biological Processes | E |
MAS 415: | Biometric Models | E |
MAS 417: | Statistical Demography II | E |
MAS 419: | Econometric Models I | E |
MAS 421: | Stochastic Processes II | E |
MAS 423: | Practical Statistics | C |
MAS 425: | Labour Dynamics | E |
MAS 427: | Agricultural Indices | E |
MAS 429: | Energy Analysis | E |
MAS 431: | Teaching of Statistics | E |
MAC 403: | Actuarial Life Contingencies II | E |
MAC 411: | Theory of Business Decisions | E |
MAC 415: | Survival Analysis | E |
MMA 405: | Partial Differential Equations I | C |
MMA 420: | Operations Research II | E |
MIT 401: | Bayesian Modelling | C |
MIT 403: | Writing Macros | C |
Year 4 Semester 2 | ||
MAS 402: | Bayesian Inference and Decision Theory | C |
MAS 408: | Multivariate Methods | C |
MAC 402: | Statistical Modelling II | E |
MAC 406: | Risk and Credibility Theory | E |
MAC 408: | Risk Mathematics | E |
MAC 410: | Fundamentals of General Insurance | E |
MAS 406: | Robust Methods and Non-parametrics | E |
MAS 410: | Statistical Model Building | E |
MAS 412: | Stochastic Models for Social Processes | E |
MAS 414: | Survey Research Methods | E |
MAS 416: | Quality Control Methods | E |
MAS 418: | Applied Population Analysis | E |
MAS 420: | Applied Demography | E |
MAS 422: | Econometric Models II | E |
MAS 424: | Applied Econometrics | E |
MAS 426: | Statistical Computing III | E |
MAS 428: | Response Surface Methodologies’ | E |
MAS 430: | Educational Statistics | E |
MAS 432: | Health Indicators | E |
MAS 434: | Government Financing Structure | E |
MAS 436: | Environmental/Ecological Indicators | E |
MAS 438: | Statistical Organization | E |
MMA 402: | Measure Theory | C |
MMA 414: | Fourier Analysis | E |
MMA 429: | Operations Research III | E |
MIT 402: | Problem Based Statistical Analysis | C |
MIT 404: | Algorithms | C |