About the Program
The PhD program in Applied Statistics aims to:
• Provide training for the development of research capabilities in Statistics and its applications
• Produce skilled statisticians who will improve teaching of statistics in colleges and universities
• Develop highly trained statisticians to address the needs of the other sciences and the industry as well
• Provide candidates with skills for multidisciplinary research
Program Requirements
To be eligible for registration for Ph.D. programme in Applied Statistics:
• Common regulations for the Ph.D. degree in Maseno University and all schools and institutes shall apply.
• Holders of a Bachelor’s degree of Maseno University in Applied Statistics, of at least Upper Second-Class Honours, or equivalent qualification from an institution recognized by the Senate.
• Holders of a Bachelor’s degree in Applied Statistics of Lower Second Class Honours, of Maseno University, or an equivalent qualification from another institution recognized by Senate. In addition, a candidate must have at least two years relevant work experience.
Admission Requirements
In addition to the common University admission regulations for Doctor of Philosophy programs,
• A holder of a Master’s degree in Applied Statistics of Maseno University or any other recognized University; or
• Other qualifications considered by Senate as equivalent to a Master’s degree in Applied Statistics
Duration of the Program
The program duration is three (3) academic years
The Ph.D. degree course in Applied Statistics shall cover a minimum duration of three (3) academic years.
Degree Structure
The Ph.D. programme in Applied Statistics shall be offered by:
• Coursework, Examination and a supervised Research Thesis.
• The courses are offered in units. A course unit is defined as a 4-hour lecture, a 8-hour tutorial or a 12-hour practical session per week per semester.
Course Structure
• The coursework consists of four (4) core and four (4) elective courses completed in the first academic year.
• The second and third academic years will be used for proposal and thesis writing
Mode of Delivery
Face-to-face
Program Courses | ||
Year 1 Semester 1 | ||
MAS 901: | Probability and Measure Theory | C |
MAS 902: | Applied Bayesian Statistics | E |
MAS 903: | Estimation Theory | C |
MAS 906: | Advanced Linear Models | E |
MAS 907: | Design of Experiments | E |
MAS 909: | Multivariate Analysis | E |
MAS 913: | Time Series Analysis | E |
Year 1 Semester 2 | ||
MAS 900: | Advanced Research Methods | C |
MAS 902: | Applied Bayesian Statistics | E |
MAS 904: | Tests of Hypothesis | C |
MAS 905: | Stochastic Processes | C |
MAS 908: | Sampling Theory | E |
MAS 910: | Non-parametric Regression | E |
MAS 911: | Biometric Models | E |
MAS 912: | Spatial Statistics | E |
MAS 914: | Survival Analysis | E |
Year 2 Semester 1 | ||
MAS 999: | Research Proposal | C |
Year 2 Semester 2 | ||
MAS 999: | Thesis | C |
Year 3 Semester 1 | ||
MAS 999: | Thesis | C |
Year 3 Semester 2 | ||
MAS 999: | Thesis | C |