1. Introduction
This course is designed to provide students with a solid grounding in advanced statistical theory and methodology that are needed in many areas of research and applications.

The aims of the course are therefore to provide students with opportunities to:
•    Acquire advanced training in statistical theory and methodology
•    Acquire competence and effectiveness in analysing data using modern computing software.
•    Develop skills as a statistical consultant

2. Entry Requirements
2.1. Holders of a degree of the University of Embu of at least Upper Second Class in Statistics or Mathematics or an equivalent qualification from a university recognised by Senate.
2.3 Holders of a Lower Second Class degree plus at least two years relevant research experience or academic work may be considered for admission.
2.4 Non-holders of a first degree who can show evidence of relevant research experience or academic work may be considered for admission provided that they pass relevant qualifying examinations.

3. Exemption(s) and Credit Transfer(s)

3.1 A candidate may be exempted from some course units and credit transferred from institutions recognised by senate, subject to the following conditions.
3.2. Must have passed in the relevant course units at Masters level.
3.3. Request for exemption should be made in writing, on admission, addressed to the Dean of the SPAS and must be accompanied by officially endorsed supporting documents including the institutions syllabuses for the relevant courses.
3.4 Payment of appropriate exemption fees.
3.5. No candidate shall be exempted from more than one third of the total number of units required in the course.

4. Course Structure and Duration

4.1    The minimum duration of the course shall be four semesters and the maximum duration shall be 12 semesters, each of 15 weeks.
4.2    A course unit will be defined as consisting of 45 contact hours of lectures, tutorials and practicals.
4.3    Candidates shall be required to take all the eight level-500 course units and four level-600 course units by course work. in addition the candidates shall be required to take a project.
4.4    The project will be regarded as equivalent to four course units.
4.5    Candidates will be required to participate in weekly postgraduate seminars. The seminars will be of one hour duration, and will cover special topics by means of lectures and informational conferences.
4.6    In each semester candidates shall be required to take a minimum of three course units and a maximum of five course units.

5. Examination Regulations and Evaluation

Written Examination
5.1.1    Masters examinations shall be governed by the general regulations for the degree of Master of Science in the School of Mathematics.
5.1.2    course units taken in a given semester shall normally be examined at the end of that semester.
5.1.3    A candidate for the Master of Science shall be required to complete satisfactorily all such course work and assignments that may be required for the scheme of study.
5.1.4    Each taught course unit shall be examined by a two-hour written examination.
5.1.5    Each course unit shall be graded independently out of 100 marks.
5.1.6    The pass mark shall be 50.
5.1.7    The complete assessment of a taught course unit shall consist of continuous assessment tests, coursework or practical assignments and a written examination. The contribution towards the unit aggregate score shall be 30% for course work and 70% for written examination.
5.1.8    A candidate who fails to obtain a pass mark in any course unit may be allowed to re-sit or re-take the failed units, a maximum of two times.
5.1.9     A pass obtained by re-sitting a course unit shall be recorded as 50.
5.1.10 A candidate who fails in the second re-sit or re-take or fails to complete the course in the prescribed time shall be discontinued.

6.0    The Project
6.1    Candidates shall be required to submit a written project report to the School for examination.
6.2.    The project shall be graded independently out of 100 marks, distributed as follows: 70% for the project report and 30% for oral presentation.
6.3    The pass mark shall be 50.
6.4    Acandidate who fails to obtain the pass mark in the project may be allowed to resubmit the project a maximum of two times.
6.5    A pass obtained by re-submission of the project will be recorded as 50.
6.6    A candidate who fails to obtain the pass mark in the project at the second re-submission of the project or fails to complete the course within the prescribed period will be discontinued.

7. Course Outline
Core Courses
STA 501     Probability Theory I
STA 502     Stochastic Processes I
STA 503     Theory of Estimation
STA 504     Tests of Hypotheses
STA 505     Computational Matrix Analysis
STA 506     Multivariate Analysis I
STA 507     Linear Statistical Models I
STA 508     Design and Analysis of Experiments

    Elective Courses
STA 601  Probability Theory II
STA 602  Stochastic Processes II
STA 603 Bayesian Analysis
STA 604  Non-parametric Statistical Analysis
STA 605 Statistical Computing
STA 606  Multivariate Analysis II
STA 607  Linear Statistical Models II
STA 608  Statistical Planning and Design of Experiments
STA 609  Theory of Sampling Techniques
STA 610  Discrete Multivariate Analysis
STA 611  Survival Models
STA 612  Asymptotic Methods in Statistics
STA 613  Time Series Analysis
STA 614  Advanced Theory of Statistics
STA 615  Robust Statistical Methods
STA 616  Project in Statistics

8. Degree Award

The final degree award shall be Master of Science in Statistics