Master of Applied Science in Quantitative Research Methods

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.

 

Download Programme Information Booklet


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

 

NOTE:

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

 

PREREQUISITES:

Online Orientation to eLearning. The Basic Statistics (eStats) course may be recommended as a prerequisite to some students depending on their statistics background.


START DATES:

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

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Joyce Otieno

Programmes Coordinator, School of Mathematics, Applied Statistics and  Actuarial Sciences

 Email:This email address is being protected from spambots. You need JavaScript enabled to view it.