|Degree Code:||I56_2||Degree Name:||MASTER OF SCIENCE IN BIOMETRY|
|Degree Description:||Click to View|
|Entry Requirements||View Details|
Common regulations for the Master of Science degree in the <?xml:namespace prefix = st1 ns = "urn:schemas-microsoft-com:office:smarttags" />University of Nairobi and the School of Mathematics shall apply.
Holders of a degree of the University of Nairobi of at least Upper Second Class in Mathematics or Statistics or an equivalent qualification from a university recognised by Senate.
Holders of degrees in Medicine, Agriculture, Biology, Agricultural Engineering, and Agricultural Economics, with a good mathematical background.
Holders of a Lower Second Class degree in the areas specified above at least two years relevant research experience or academic work may be considered for admission.
Holders of a pass degree in the areas specified above plus a postgraduate diploma in the relevant areas may be considered for admission.
A candidate who meets the minimum admission requirements and has been admitted into the course, but needs knowledge in any of the following areas: use of modern statistical software, basic mathematical tools for statistics and principles of plant and animal biology will be required to take an introductory course in the relevant areas. This will be a preliminary course which must be successfully completed before embarking on the M.Sc. Programme.
The introductory course, for students who enrol for it will be of four weeks duration and will take place one month prior to the commencement of the M.Sc. Course.
The minimum duration of the M.Sc. course shall be four semesters and the maximum duration shall be 12 semesters, each of 15 weeks.
Students will be required to take a minimum of twelve (12) taught course units, which must include the eight prescribed core course units. In addition they must take a project.
The project will be regarded as equivalent to four course units.
Students will be required to register for at least four course units per semester for the first three semesters and the 4th Semester will be devoted to practical training and project.
Candidates will be required to participate in weekly postgraduate seminars. The seminars will be of one hour duration, and will cover special topics by means of lectures and informational conferences.
Each taught course unit will comprise of 45 contact hours of lectures, tutorials and practical data analysis.
Practical data analysis will consist of a series of practical exercises allied to specific course units throughout the course. These will be assessed as part of continuous assessment for the relevant course units.
As part of the professional issues in biometry course unit, there will be set at least five continuously assessed data analysis assignments. For each data analysis assignment students will spend about a week during which they will identify the main purpose of the analysis, perform a suitable analysis, prepare a written report and present the results orally in a departmental seminar.
The student will need to be attached for one full term (semester) in a suitable research institute or organisation. During the attachment the students will be expected to familiarize themselves with the application area; acquire skills in consulting; and do research and prepare a report for the project.
|Entry Requirements||View Details|
|Level : Non Specified|
|Semester: Non Specified|
|Course Code||Course Name||Course Hours|
|SBM 001||Basic Mathematics And Computing For Statistics||View Description|
Basic Mathematics And Computing For Statistics Description
|SBM 002||Introduction To Biology||View Description|
Introduction To Biology Description
|SBM 501||Design Of Research Studies||View Description|
Design Of Research Studies Description
|SBM 502||Data Management And Analysis||View Description|
Data Management And Analysis Description
|SBM 503||Statistical Methods||View Description|
Statistical Methods Description
|SBM 504||Linear Models||View Description|
Linear Models Description
|SBM 505||Advanced Linear Models||View Description|
Advanced Linear Models Description
|SBM 506||Survey Methods||View Description|
Survey Methods Description
|SBM 507||Multivariate Statistics||View Description|
Multivariate Statistics Description
|SBM 508||Survival Data Analysis||View Description|
Survival Data Analysis Description
|SBM 509||Statistical Ecology||View Description|
Statistical Ecology Description
|SBM 601||Epidemiological Methods||View Description|
Epidemiological Methods Description
|SBM 602||Design Of Clinical Experiments||View Description|
Design Of Clinical Experiments Description
|SBM 603||Biological Assay And Quantitative Genetics||View Description|
Biological Assay And Quantitative Genetics Description
|SBM 604||Agricultural Experimentation||View Description|
Agricultural Experimentation Description
|SBM 605||Environmental Statistics And Spatial Analysis||View Description|
Environmental Statistics And Spatial Analysis Description
|SBM 606||Models For Disease Transmission And Management||View Description|
Models For Disease Transmission And Management Description
|SBM 607||Statistical Demography||View Description|
Statistical Demography Description
|SBM 608||Professional Issues In Biometry||View Description|
Professional Issues In Biometry Description
|SBM 609||Project||180||View Description|