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.
The aim of the BSc Statistics program is to provide students with a wide range of skills, knowledge, and attitudes to respond to their need for effective data analysis and management of surveys. The Bachelor of Science in Statistics program is to produce graduates that are able to:
The candidates to be admitted to the degree program of Bachelor of Science in Applied Statistics at Egerton University must satisfy the minimum common entrance requirements of Egerton University of at least C+ and any other departmental and faculty requirements.
A Candidate must obtain at least a C+ grade in mathematics, and C grade in the other JAB subject clusters.
Admission may be offered to outstanding diploma holders in Applied Statistics. Based on Senate approved guidelines, candidates may be allowed to transfer credits from this diploma course from an institution recognized by the University Senate up to a maximum of 30% of the program CF.
KNEC Diploma holders in related disciplines or their equivalent recognized by the University who meet the admission requirements are eligible for admission on credit transfer (those with Pass, enter into first year; those with credit/distinction enter into second year).
Mininum Entry Requirements for Bachelor's Degree at Egerton University
The entry requirements set out below are only minimum, and they in no way entitle an applicant to a place in the University. Applicants must:
Meet additional entry requirements as may be specified by the respective Department, Faculty, School or Institute.
To be admitted for a PRE-SERVICE DEGREE PROGRAM, a prospective candidate must have all the requirements set up by the joint Admission Board (JAB), with a prospective IN-SERVICE student must have completed a diplomaprogram in the relevant field and graduated with at least a CREDIT.
The duration of the BSc in applied statistics degree program shall be four academic years.
A candidate should take a minimum of 18 CF and maximum of 24 CF per semester.
In addition to the normal semesters, the program has field visits and industrial attachments at selected industrial, educational or research establishments. The attachment course shall be taken at the end of third year of study.