About the Program
Program Objectives
The objectives of the Master of Science (MSc) programme in Applied Statistics are to:
• Train statisticians for industries, institutions and other organization
• Expose candidates to various branches of statistics for teaching and research.
• Prepare candidates for PhD programme in statistics
Admission Requirements
To be eligible for registration for the Master of Science (MSc) programme in Applied Statistics:
• Common regulations for the Master’s Degree in Maseno University and all schools and institutes shall apply.
• Candidates must have taken statistics as a major subject in their Bachelor’s degree.
• 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.
• Holders of a Postgraduate Diploma in Applied Statistics of Maseno University, of a minimum credit grade or an equivalent qualification from an institution recognized by Senate.
Duration of the Program
The Master of Science degree course in Applied Statistics shall cover a minimum duration of 4 semesters and a maximum duration of 8 semesters.
Degree Structure
The MSc programme in Applied Statistics shall be offered by:
• Course work, supervised research project or thesis and examination.
• The courses are offered in units. A course unit is defined as a 3-hour lecture, a 6-hour tutorial or a 9-hour practical session per week per semester.
• One may opt for either a project or a thesis pathway
Mode of Delivery
Face-to-face
Program Courses | ||
Year 1 Semester 1 | ||
MAS 801: | Probability and Measure Theory | C |
MAS 802: | Stochastic Processes I | C |
MAS 803: | Estimation Theory | C |
MAS 804: | Testing of Hypothesis | C |
MAS 805: | Analysis of Variance | E |
MAS 806: | Statistical Quality Control | E |
MAS 807: | Multivariate Analysis I | C |
Year 1 Semester 2 | ||
MAS 808: | Sampling Methods I | E |
MAS 809: | Epidemic Modelling | E |
MAS 810: | Design of Experiments I | C |
MAS 811: | Matrix Population Models | E |
MAS 812: | Non parametric Methods | E |
MAS 813: | Multivariate Analysis II | E |
MAS 814: | Stochastic Processes II | E |
Thesis pathway | ||
MAS 899: | Research Proposal | C |
Year 2 Semester 1 | ||
Project pathway | ||
MAS 898: | Project Proposal | C |
MAS 815: | Sampling Methods II | E |
MAS 816: | Modelling Biological Populations | E |
MAS 817: | Demography | E |
MAS 818: | Time Series Analysis | E |
MAS 819: | Design of Experiments II | E |
MAS 820: | Economic Statistics | E |
MAS 821: | Psychological & Educational Statistics | E |
MAS 822: | Exploratory Data Analysis | E |
Thesis pathway | ||
MAS 899: | Thesis | C |
Year 2 Semester 2 | ||
Project pathway | ||
MAS 898: | Project | C |
Thesis pathway | ||
MAS 899: | Thesis | C |