The Master of Applied Science in Quantitative Research Methods is offered by the School of Mathematics, Applied Statistics and Actuarial Sciences.
This programme leads to the degree of Master of Science in Quantitative Research Methods, with specialisation in either Biological or Social Research Methods.
The Fees for eLearning Programmes is designed with students in full-time employment in mind. It is a practical course in which the involvement of the employer is desirable in as far as they could permit the use of their data and problems in content delivery. Towards this end, the programme is, where possible, tailored to suit the needs of such employers. On the overall, this innovative approach hopes to further the relevance of this programme to industry.
The taught part of this course consists of a series of modules. Each module is the equivalent of 2 weeks full-time teaching or 48 contact hours, as are other MSc courses offered at Maseno University. A module can be taken either as part of a planned MSc course, or as a stand-alone module.
MINIMUM ENTRY REQUIREMENT:
First Class Honours OR Second Class Honours Upper Division degree recognised by the University Senate. Holders of Lower Second Class Honours degree with two years relevant work experience will be considered. Applicants can specialise either in Social Science Research or Biological Science Research depending on their professional orientation
The minimum number of modules required to graduate with a Masters degree will vary between 14-18 modules. Further information can be obtained from the Dean
MODE OF STUDY:
Online tuition, brief face-to-face meetings, online CATs, sit-in end of semester examination
Online Orientation to eLearning. The Basic Statistics (eStats) course may be recommended as a prerequisite to some students depending on their statistics background.
JAN, MAY, SEPT
For further enquiries on the programme, please contact Programmes Coordinator, School of Mathematics, Applied Statistics and Actuarial Sciences
Dr. Shadrack Adero Walwenda
Dean, School of Mathematics, Applied Statistics and Actuarial Sciences
Programmes Coordinator, School of Mathematics, Applied Statistics and Actuarial Sciences