Many a times, there is disconnect between statistical theory and statistical application. Most statisticians produced, have a flare in the theory but have difficulty in analyzing statistical data especially one that requires application of statistical software. This limits their analysis of data in many fields such as in Biological and Physical Sciences, Agricultural, Business, Finance, Economics, Engineering, and many other fields.
Statistics deals rationally and objectively with the uncertainty that accompanies variation phenomena as highly complex as the interplay of many factors that affects our environment.
The statistician‘s main task is to determine what type of data to collect, how to collect it and how to analyze it. These problems are solved by designing experiments or carrying out sample surveys. Since statistical inference is concerned with inferring what the population is like on basis of the sample, the link between population and sample is provided by Probability Theory.
Developing and assessing statistical models to describe the variation in some response in terms of other explanatory variables and applications of these models is also incorporated. We apply concepts in Pure and Applied Mathematics such as Calculus, Linear and Abstract Algebra, Combinatory, Difference, Differential equations, etc in advanced analysis of data. Since a statistician requires a strong application background, computer programming and application courses such as Economics, Accounting, and Finance are included.
This BSc Statistics degree programme at Egerton University equips students with knowledge, skills and attitudes that will enable them work as Statisticians in diverse fields. A part from teaching, the graduates could work in Ministry of Planning, Central Bureau of Statistics, research institutions, pharmaceutical industry and non-governmental organizations such as public opinion pollsters.
In addition, this program will produce graduates who can undertake postgraduate studies in statistics world over.