Department of Statistics and Actuarial Science

About Statistics Dept

The department of Statistics and Actuarial Science welcomes you to a conducive and inspiring learning environment The Department is one of eight departments in the School of Pure and Applied Sciences at Kenyatta University. Established in 2013, the Department has been at the apex of capacity development in Statistics and Actuarial in Kenya. The graduates of Statistics, Programming and Actuarial Science from the department are employed in many industries and in learning institutions, both inside and outside Kenya. Others work with research institutions as well as being self employed.

The Department offers course leading to three areas of specialization; Statistics, Social Statistics and Biostatistics. In addition, the Department officers service courses for other Departments in the university.

Our Vision
The vision of the Department is to be a center of excellence in providing competitive, quality education and training in statistics for the benefit of national and international Statistics needs.

Our Mission
The mission of the Department is to teach and advance the state of the art knowledge in Statistics.

The objectives of the Department are to:

  1. Provide opportunities for students to develop competence in Statistics.
  2. Offer statistical services to engineering, business, economics and social science departments.
  3. Prepare students to pursue postgraduate studies and careers in teaching, government and industry.
  4. Provide the students with a course of study directed towards an understanding of statistical theory and its relation to other fields of study.
  5. Provide opportunities for teaching staff to offer seminars and research findings.
  6. Establish linkage with industries to promote effective application of Statistics in industrial processes.
  7. To equip students with computational skills


Programmes and duration
The Department offers courses at both undergraduates and postgraduates levels.

Undergraduate Programmes
Besides servicing other departments in different Schools, the Department has two undergraduate programs

i. Bachelor of Science (Statistics and Programming)
ii. Bachelor of Science (Actuarial Science)

Students taking Bachelor of Education with Statistics as one of their subjects can specialize in Statistics by taking the following core units in Statistics: SST 101, 204, 205, 305, 306, 307, 308, 407, 411, 412, 414, 415.

1. BSc (Actuarial Science)

A total of 52 units are required for one to have a BSc (Actuarial Science). The mode of study is regular for this programme

Units offered

SAC 100, 101, 102, 201, 202, 203, 204, 300, 301,302, 304,305,306,307, 308,309 400, 401, 402, 404, 405, 406, 407 and 408 ,
SST 101, 102, 103, 201, 202, 203, 204, 205, 304, 305, 306, 307, 308, 407
EET 100, 101, ASC 100 and SCS 209

2. BSc (Statistics and Programming)

A total of 52 units are required for one to have a BSc (Statistics and Programming) at a regular mode of study.

Units offered
SST 100, 102, 103, 200,201, 202, 203, 204, 205, 300, 301, 302, 303, 304, 305, 306, 308, 400, 401, 402, 404, 405, 406, 407, 408, 409, 411, 412, 413, 414, 415, EET 100, 101, ASC 100 and SCS 209

Mode of Delivery

The Undergraduate Programmes fall under one of the following modes:

- Full-Time
- Distance (Open) learning
- IBP (for teachers and instructors – during school holidays)
- Part-time and Evening classes (City Campus)

Career Prospects of the programme
Banks and Insurance companies require people with strong mathematical background. Several of Statistics graduates have been absorbed by banks as Management Trainee and by Insurance companies as Actuarial trainees. There is still a great demand for Statistics teachers in tertiary institutions, research institutions & industries.

Specific Entry Requirements
All students admitted to the university are eligible to study Statistics at undergraduate level provided they meet the minimum requirements for the Department. To take Statistics in the Bachelors degree, a student must have attained at least a grade B- in Mathematics in the KCSE Examination. To be admitted to the BSc. (Statistics & Programming) a student must have a B in Mathematics and C+ in English.

To be admitted to BSC (Actuarial Science) a student must have a B (plain) in Mathematics and B- (minus) in English.

To be admitted for an MSc course in Statistics, a student must have attained at least an upper second-class at Bachelor’s degree or equivalent from a university recognized by the Senate. Students with a lower second-class degree with at least two years relevant experience may be admitted for the MSc course. In addition a student must have done and passed all the core units in the area he/she intends to study.

Programmes and Duration

The Department offers courses at both undergraduates and postgraduates levels.

Postgraduate Programmes

The programme takes at least two academic years and includes coursework, examination and thesis or project

M.Sc. Programme

Depending on the area students majored in at undergraduate level, a student can opt for any of the following programmes at the Msc level:

1.  M Sc. in Statistics

Core Units

SST 800: Design of Experiment I
SST 801: Design of Experiment II
SST 802: Multivariate Analysis I
SST 803: Multivariate Analysis II
SST 804: Sample Surveys
SST 805: Theory of Estimation
SST 806: Hypothesis Testing
SST 807: Stochastic Processes I

600 Level Units

Core Unit

SST 829: Project in Statistics (two units)

Elective Units

SST 808: Stochastic Processes II
SST 809: Non-parametric Inference
SST 810: Design of Experiment III
SST 811: Statistical Decision and Game Theory
SST 812: Probability Theory
SST 813: Ranking and Selection Procedures
SST 814: Time Series Analysis
SST 815: Statistical Modeling
SST 816: Regression Analysis
SST 817: Information Theory
SST 818: Order Statistics
SST 819: Discrete Multivariate Analysis
SST 820: Demographic Techniques
SST 821: Statistical Genetics
SST 822: Contingency Tables Analysis
SST 823: Survival Analysis
SST 824: Clinical Trials

2. M Sc. in Biostatistics

Core Units
SST 860: Biostatical methods I
SST 861: Biostatical methods II
SST 862: Introduction to Probability Theory
SST 863: Statistical Inference I
SST 864: Applied General Linear Models
SST 827: Contingency Table Analysis

Elective Units
SST 866: Observational Studies
SST 867: Sampling Applications
SST 868: Statistical Methods for Epidemiology
SST 840: Statistical Computing
SST 821: Statistical Genetics
SST 823: Survival Analysis
SST 824: Clinical Trials
SST 870: Applied Multivariate Methods
SST 871: Statistical Methods in Biological Assays
SST 872: Statistical Inference II
SST 873: Stochastic Processes in Biostatistics

3. M Sc. in Social Statistics

There will be sixteen (16) units to be offered as given below:

All the units are core

SST 830: Survey Design Methods
SST 831: Contemporary Demographic Issues
SST 832: Survey Data Analysis
SST 833: Sample Survey Theory
SST 834: Social Research Methods
SST 835: Multivariate Data Analysis I
SST 836: Statistical Modelling
SST 837: Multivariate Data Analysis II
SST 838: Demographic Methods
SST 839: Observational Studies
SST 840: Statistical Computing
SST 841: Applied Contingency Table Analysis
SST 842: Analysis of Repeated Measures.
SST 823: Survival Analysis
SST 849: Project in Social Statistic
(Equivalent to two units)

 For those doing by Course Work and Project, a total of 14 units (course work) and a Project equivalent to two units.

 For those doing by Course Work and Thesis, will take a total of 10-12 units (course work) and a Thesis equivalent to 6 units.


SST 900: Ph.D thesis in Statistics
SST 910: Ph.D thesis in Biostatistics
SST 920: Ph.D thesis in Social Statistics

Last Updated on Wednesday, 07 March 2018 08:04


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