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Submitted by admin on Sat, 08/14/2021 - 10:26

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

 

Course Category
Course Teaser

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