Admission Requirements for the Programme
The common regulations for all doctorate degrees in the University and those of the School of Pure, Applied and Health Sciences shall apply. Holders of a Master’s degree in Statistics or an equivalent qualification from a university recognized by Murang’a University of Technology senate shall be eligible for registration for the Doctor of Philosophy in Statistics.
Duration of Study
Three (3) Academic Years
Mode of Delivery of the Programme
The programme shall be delivered through face-to-face lectures, e-learning, open and distance learning, blended, or any other mode approved by the Commission for University Education.
Expected Learning Outcomes of the Programme
Upon successful completion of the prescribed course of study, the Doctor of Philosophy in Statistics graduates should be able to:
Philosophy of the Programme
The PhD in Statistics programme seeks to equip students with advanced theoretical, practical and research skills in the field of statistics as a key pillar for sustainable development.
Justification of the Need for the Programme
Murang’a University of Technology mission proposes to advance knowledge and technological transfer through teaching, training, learning, research, and innovation for sustainable development. With the advent of modern science and technology, the education system in the country has undergone drastic changes in the past four decades or so. The changes have affected many courses of study that are being governed by market demands. Employers are equally keen on the type of graduates being produced by Universities. This curriculum of Doctor of Philosophy in Statistics is therefore designed to meet these challenges and demands affecting labour market as dictated by both local and international demands. The program is also designed to combat shortage of advanced professionally trained statisticians in this country, Africa region and the world at large. The graduate programme in the Department of Mathematics and Actuarial Science is intended to guide candidates to work independently, arrive at new insights and contribute to research in a wide range of research projects in Statistics. It is tailored to allow the student to make a distinct contribution to the knowledge and understanding of statistics and afford evidence of ability to carry out original research in a well-defined problem in statistics. The programme shall also provide Doctor of Philosophy in Statistics graduates with real world situations full of various techniques of teaching, knowledge, skills, attitudes, and experiences that prepare them to meet challenges in the fields of teaching and learning process.
Regulations on Credit Transfer
There shall be no credit transfer to the PhD in Statistics programme.
Student Assessment Policy
The University’s common regulations regarding students’ assessment shall apply. However, the following assessment procedures shall be taken into consideration.
Continuous assessment shall be conducted within the semester comprising of assignments and sit in examinations. This shall constitute 40% of the total unit marks.
Students shall be required to take end of semester examinations pertaining to the course units registered during the semester. Each semester examinations shall constitute 60% of the total marks of each unit.
The thesis shall be examined as 80% for the written document and 20% for the defence
All candidates shall be expected to abide by the University Examinations Regulation/Rules, articulated in the examinations policy provided to all students on reporting, detailing the examination malpractices, disciplinary action and mode of appeal.
Types of examinations
There shall be three types of university examinations namely-
Examinations shall be moderated, approved and administered during the semester. All units shall be examined during the semester in which they are taken. Such examinations shall be called ordinary examination. A total maximum mark of 100% will be awarded which shall comprise of:
The pass mark shall be 50%.
A candidate who fails two (2) or less courses taken in an academic year shall be required to re-sit the examinations during ordinary end of semester examinations when next offered. A candidate shall be awarded a maximum score of 50% for master degree in each course passed at re-sit examination. Re-sit examinations shall be charged a fee that shall be determined by Senate from time to time.
A candidate who is not able to sit for an examination during the ordinary end of semester examinations due to reasons acceptable by Senate, shall be offered special examinations. Special examinations shall be accepted up to 100% of the total courses taken in an academic year.