MSc Statistics Admission Requirements in Kenya

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MSc Statistics attracts thousands of Kenyans to local universities every year. Admission Requirements for the course to each university are different depending on how competitive the course is. Below we are going to list the requirements for each university and the link to the application page.

With MSc statistics, the monthly salary will be way above Ksh150,000 per month.

  1. JKUAT MSc. Statistics Admission Requirements

Bachelor’s degree with at least 2nd class Honours Upper Division OR Other qualifications recognized by JKUAT Senate.

Website link: http://www.jkuat.ac.ke/postgraduate-courses/msc-statistics/

  1. Mount Kenya University MSc Statistics Admission Requirements

The following shall be eligible for admission in the Master of Science Degree in Statistics

  • Holders of a Bachelor’s degree from Mount Kenya University of at least Upper Second Class Honours in Bachelor of Science in Actuarial Science, Bachelor of Science in statistics and Bachelor of Science in mathematics or an equivalent qualification from a university recognized by Mount Kenya University Senate and the Commission for University Education (CUE)
  • Holders of a Bachelor’s degree from Mount Kenya University lower Second Class Honours in Bachelor of Science in Actuarial Science, Bachelor of Science in statistics and Bachelor of Science in mathematics or an equivalent qualification from a university recognized by Mount Kenya University Senate. The candidate must have at least two years of relevant work experience.

Website link: https://www.mku.ac.ke/index.php/academic-programmes/118-programmes/413-master-of-science-in-statistics

  1. Kenyatta University M Sc. in Statistics Admission Requirements

Holders of a Bachelor’s degree from Kenyatta University of at least Upper Second Class Honours in Bachelor of Science in Actuarial Science, Bachelor of Science in statistics and Bachelor of Science in mathematics or an equivalent qualification from a university recognized by Kenyatta University Senate and the Commission for University Education (CUE)

Website link: http://www.ku.ac.ke/schools/spas/index.php/87-departments

  1. Egerton University Masters Of Science In Statistics Admission Requirements
  2. i) Should be a holder of at least a Second class Honours (Upper division) first degree or its equivalent.
  3. ii) Must have taken mathematics as a major subject at the undergraduate level.

The common regulations for the Masters degree in all faculties as specified in statue of Egerton University statues will be applicable.

Website link: http://www.egerton.ac.ke/index.php/Mathematics/masters-of-science-in-statistics.html

  1. UNIVERSITY OF NAIROBI MASTER OF SCIENCE IN SOCIAL STATISTICS ADMISSION REQUIREMENTS

Website link: https://mathematics.uonbi.ac.ke/index.php/admission-content-type/master-science-social-statistics

o be eligible for registration for the Master of Science degree in Mathematics, candidates must have taken Mathematics or Statistics as a major subject in their first degree and obtained at least an upper second class honours or its equivalent.

Common regulations from the Masters degree in all Faculties shall be applicable and the general regulations for the Masters degree in the School of Mathematics shall also be applicable.  In the First Year of Study, all candidates shall take six units by course work and in the second year of study, candidates may either take course work or undertake thesis research.

Candidates taking course work in the second year of study will take either six course units or four course units and a project whose findings shall be presented in the form of a brief write up.  The project shall be regarded as equivalent to two units.

Candidates undertaking a thesis research in the second year of study, shall do so on an approved subject.  The thesis shall be regarded as equivalent to six course units.  Examinations shall be governed by the general regulations from the Degree of Master of Science in the School of Mathematics.

The course work examinations shall be held at the end of the academic year.  A one-unit course will be examined by a two-hour paper while a two-unit course will be examined by a three-hour paper.

The project write-up shall be submitted for evaluation by an external examiner.

  1. UNIVERSITY OF NAIROBI MASTER OF SCIENCE IN BIOMETRY ADMISSION REQUIREMENTS

Common regulations for the Master of Science degree in the 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.

  1. Strathmore University Master of Science: Statistical Science Admission Requirements
  • a) The following are eligible for admission into the MSc. Statistical Science:
  • Holders of First Class or Upper Second in Mathematics or a related discipline; OR
  • Holders of Lower Second Class degrees in Mathematics or a related discipline plus Postgraduate Diplomas in relevant areas; OR
  • Holders of Lower Second Class Degrees in Mathematics or related disciplines plus a minimum of two years of working experience OR
  • Holders of other related qualifications from recognized universities
  • b) In addition to meeting the above criteria, the applicants will be required to attend and pass an oral interview and a Graduate Entrance Examination (GEE).
  • c) They will also be required to present two reference letters from academic referees

Website admission link: https://sims.strathmore.edu/academics/graduate-programs/msc-statistical-science/

  1. Maseno University Bachelor of Science (Applied Statistics With IT) Admission Requirements

To be admitted in BSc. Applied Statistics programme a candidate must, satisfy the minimum University and School of Mathematics, Statistics and Actuarial Science entry requirements.

Duration and Structure of the Programme

  1. The duration of the programme shall normally extend over a period of four academic years.
  2. The courses are offered in units in which a course unit is defined as one hour lecture or two hours tutorials or three hours practical session per week per semester.
  3. Students will take a minimum of 42 and maximum of 48 units in each year of study. Students wishing to take more than 48 units will require senate approval.
  4. In the first year, students will take 36 core units from the department, 6 units from the IT courses offered as common units. In the second year, students will take 33 core units from the department, 9 units from the elective listed and 6 units from the common university IT courses.
  5. In the third and fourth years of study, Students will take courses from their respective areas of specialisation.
  6. In the third year students will take 36 core units and 3 required units from the department of Mathematics. In the fourth year students will take 18 core units. The additional units will be chosen from the elective units listed, in line with the desired area of specialisation

Website link: https://maseno.ac.ke/index/index.php?option=com_content&view=article&id=736:bachelor-of-science-applied-statistics-with-it&catid=125:programs-in-the-department-of-statistics

  1. Kibabii University Master of Science in Biostatics Admission Requirements

Bachelors Degree in related field, with at least Second Class Honours (Upper Division) or equivalent from MMUST or any recognized institution OR Bachelors Degree Second Class (Lower Division) or its equivalent with at least two years working experience in a related area.

Website link: https://kibu.ac.ke/postgraduate-programmes/

  1. University of Kabianga Master of Science in Statistics Admission Requirements

Admission Requirements: 

    • A holder of Bachelors degree with at least Second Class Honours (Upper Division), having majored in Statistics at the University of Kabianga or any other University recognized by UoK Senate.

Website link: http://kabianga.ac.ke/main/programme/master-science-statistics