About the Program
Program Requirements
The objectives of the programme are to:
· Provide students with a comprehensive background to quantitative methods, underpinned with a sound understanding of the biological or social, statistical and mathematical aspects of the field, and how they are integrated.
· Develop competence in quantitative methods required to address a range of topical ‘real-world’ questions in the respective specialization.
· Develop an ability to choose an appropriate quantitative method for answering a particular biological or social question.
· Develop an ability to develop, analyse, numerically simulate, fit to data and interpret quantitative models of biological or social systems
· Train professionals in quantitative research methods which are immediately applicable in their profession.
· Prepare students for professional doctorate or PhD in Applied Statistics or Research Methods.
Admission Requirements
To be eligible for registration for Master of Science (MSc.) programme in Quantitative Research Methods;
· Common regulations for the Master degree in Maseno University and all schools and institutes shall apply.
· Candidates must have taken Mathematics 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 MSc (QRM) course shall cover a minimum duration of 4 semesters and a maximum duration of 8 semesters.
Degree Structure
The Degree shall be offered by:
· Course work, supervised research project or thesis and examination.
· The courses are offered in units and a course unit is defined as a 3-hour lecture, a 6-hour tutorial or a 9-hour practical session per week per semester.
Mode of Delivery
On-line
| Course Structure | |
| Biological Statistics Specialization | |
| Year 1 Semester 1 | |
| MRM 805: | Computational Matrix Analysis |
| MRM 807: | Linear Statistical Models I |
| MRM 808: | Design & Analysis of Experiments |
| MRM 827: | Design and Analysis of Surveys I |
| MRM 831: | Statistical Theory |
| MRM 832: | Survey Sampling |
| MRM 833: | Interactive Data Analysis |
| Year 1 Semester 2 | |
| MRM 811: | Bayesian Statistics |
| MRM 834: | Multivariate Statistics |
| MRM 835: | Survival Data Analysis |
| MRM 827: | Applied Stochastic Processes |
| Thesis pathway | |
| MRM 899: | Thesis Research Proposal |
| MRM 812: | Applied Time Series Analysis |
| Project pathway | |
| MRM 804: | Non-parametric Statistical Analysis |
| MRM 812: | Applied Time Series Analysis |
| Year 2 Semester 1 | |
| Thesis pathway | |
| MRM 899: | Thesis Research |
| Project pathway | |
| MRM 898: | Project Proposal |