Bachelor of Science in Statistics and Computing
The Bachelor of Science in Statistics and Computing is a degree programme that combines statistical theory with computing skills to prepare graduates for data-driven careers. The programme is offered at Moi University and the University of Eldoret, preparing graduates for roles in data analysis, statistical modelling, computing and data science.
The short answer
- What it costs
- Up to Ksh 281,350 a year at a public institution, Ksh 1,125,400 for the whole course. Up to Ksh 441,500 a year at a private one.The detail
- Who can get in
- A KCSE mean grade of C+ (Plus) or above. There is another way in without it.The detail
- How long, and when
- Takes 4 years, full-time, part-time, with 3 months of attachment. Next intake January 2027, at 13 institutions.The detail
- Where it leads
- 8 careers in the catalogue. The least exposed to AI is Cloud Security Engineer, at 14 out of 100.The detail
The programme
What you study, how long it takes, and how it is delivered.
Overview
The curriculum covers probability theory, mathematical statistics, regression analysis, sampling methods, experimental design, programming, database systems, data structures, statistical computing, time series analysis, categorical data analysis, computing methods, research methods and data visualisation. Students develop competencies in statistical analysis, programming and data management.
Throughout the programme, students engage in lectures, computing laboratory sessions, statistical software practicals, field visits, industrial attachment and research projects. The practical approach ensures graduates can apply statistical methods using computational tools, analyse complex datasets and develop data-driven solutions.
The programme emphasises the growing importance of statistical computing in research, business and governance, preparing students to support evidence-based decision-making across sectors. Students learn about statistical inference, data mining, computational statistics and the application of programming languages to statistical problems.
Graduates are equipped to work in research institutions, government statistics offices, financial institutions, insurance companies, technology firms, non-governmental organisations and consulting firms. They play a critical role in data analysis, statistical modelling and computational problem-solving.
Career opportunities exist in the Kenya National Bureau of Statistics, research institutions, banks, insurance companies, technology firms, NGOs and consulting companies. Graduates work as statisticians, data analysts, statistical programmers, research analysts and data scientists across multiple sectors.
What you study
10 subjects- Probability Theory
- Mathematical Statistics
- Regression Analysis
- Sampling Methods
- Programming
- Database Systems
- Statistical Computing
- Time Series Analysis
- Categorical Data Analysis
- Research Methods
Modules
8 in the programmeProbability Theory and Mathematical Statistics
Year 1Semester 13 creditsCore
Probability distributions, statistical inference and the mathematical foundations of statistics.
Introduction to Programming and Computing
Year 1Semester 23 creditsCore
Programming fundamentals, computer applications and computational problem-solving.
Regression Analysis and Sampling Methods
Year 2Semester 13 creditsCore
Regression Analysis and Sampling Methods: Linear and multiple regression, sampling techniques and survey methodology. Covers theoretical foundations, practical applications, and industry-relevant s...
Statistical Computing and Data Analysis
Year 2Semester 13 creditsCore
Computing methods for statistical analysis, data manipulation and visualisation using R and Python.
Database Systems and Data Structures
Year 2Semester 23 creditsCore
Database design, data structures and data management for statistical applications.
Time Series and Categorical Data Analysis
Year 3Semester 13 creditsCore
Time Series and Categorical Data Analysis: Time series modelling, forecasting methods and analysis of categorical data. Covers data modelling, query optimisation, storage structures, and informatio...
Experimental Design and Research Methods
Year 3Semester 23 creditsCore
Experimental Design and Research Methods: Design of experiments, research methodology and statistical report writing. Covers quantitative and qualitative approaches, data collection, analysis, and ...
Computing Methods and Project
Year 3Semester 23 creditsCore
Advanced computing methods for statistics and a research project applying statistical computing.
Specialisations
Statistical Computing
Focus on computational methods for statistics, programming and algorithm development for data analysis.
Applied Statistics
Specialisation in sampling methods, experimental design and statistical inference for real-world applications.
Data Science and Analytics
Focus on data mining, machine learning and big data analytics techniques. This specialisation equips graduates with discipline-specific competencies for professional practice in Kenya and the East African region, with pathways to postgraduate study and professional certification.
Biostatistics
Specialisation in statistical methods for health research, clinical trials and epidemiology. This specialisation equips graduates with discipline-specific competencies for professional practice in Kenya and the East African region, with pathways to postgraduate study and professional certification.
A day as a student
A typical day involves attending probability theory lectures, writing R scripts for statistical analysis in the computing laboratory, designing experiments for data collection, analysing datasets using Python, and presenting statistical findings to peers.
The trade-offs
| In its favour | Against it |
|---|---|
| Accredited by the Commission for University Education (CUE). | Limited programme specialisation options may be available. |
| Graduates are eligible for HELB loans and government funding. | Competitive job market requiring practical experience and networking. |
What it costs
Tuition at both ends of the market, and how to pay for it.
What it costs, and where
Against 191 technology coursesAnnual tuition in Kenyan shillings, rounded. The upright tick is the median for this field, so a bar sitting entirely to its right is an expensive programme by the standards of its own subject.
The fine print
UoN Statistics 281,350 KUCCPS. USIU Data Sci 441,500/yr. MKU Stats 110,000 KUCCPS.
Government scholarships cover up to 53% of tuition for needy students. HELB provides loans up to Ksh 60,000. DAAD offers scholarships for STEM students.
Funding options
HELB Undergraduate Loan
Loan
Kenyan citizens enrolled in accredited undergraduate programmes
Government Scholarship (New Funding Model)
Scholarship
Needy students placed by KUCCPS in public universities
DAAD Scholarship
Scholarship
Undergraduate students in STEM fields
Scholarships
3 recordedHigher Education Loans Board (HELB) Loan
LoanKsh 60,000Kenyan
Kenyan students admitted to recognised universities demonstrating financial need.
Higher Education Fund (HEF)
Government fundingKenyan
Kenyan students in public universities under the new funding model based on financial need assessment.
County Government Bursaries
BursaryKenyan
Kenyan students from respective counties demonstrating financial need.
Scholarships you could apply for
9 usable where it is taught- Equity Group Foundation Wings to Fly
Closes 28 February 2027FullEquity Bank
Full secondary + university
- Aga Khan Foundation Scholarship
Closes 31 March 2027FullAga Khan Foundation
Full university study
- University of Eldoret TAGDev 2.0 Scholarship
Closes 1 May 2027FullUniversity of Eldoret / Mastercard Foundation
Full tuition + living expenses
- Family Bank Foundation Education Support
Closes 30 June 2027PartialFamily Bank
KES 80,000 per year
- HELB Undergraduate Scholarship
Closes 31 July 2027PartialHigher Education Loans Board
KES 40,000 to 60,000 per year
- County Government Scholarships
Varies by countyPartialCounty Governments
KES 50,000 to 200,000 per year
- Komaza Scholarship Program
RollingPartialKomaza
KES 50,000 to 150,000 per year
- Moi University Merit Scholarship
Before semester startsPartialMoi University
50% tuition waiver
Getting in
The grades, the alternatives, and who accredits the award.
What you need
KCSE C+ (Plus) OR A Level with two principal passes; OR a relevant Diploma from a recognised institution; OR any other qualification recognised by the university senate and CUE.
When it next starts
Taught at 13 institutionsIncluding Kibabii University, Kaimosi Friends University, Karatina University.
Including Kibabii University, Kaimosi Friends University, Karatina University.
Including Kibabii University, Kaimosi Friends University, Karatina University.
How you are assessed
2 componentsContinuous Assessment Tests and Assignments
Coursework30% of the mark
Written tests, assignments, and practical exercises throughout the semester.
End of Semester Examinations
Examination70% of the mark
Written examinations covering all course content for the semester.
Accreditation
Commission for University Education (CUE)
Academic accreditationRequired
CUE is the statutory body responsible for the accreditation and quality assurance of university programmes in Kenya.
Accredited by the Commission for University Education (CUE). The programme is offered at Moi University and the University of Eldoret.
Where it leads
The roles it opens, and what you leave with.
Where graduates go
4 rolesGraduate Trainee
High demandKsh 40,000 to Ksh 60,000
Entry-level position applying academic knowledge in a professional environment.
Research Assistant
Moderate demandKsh 45,000 to Ksh 65,000
Supporting research projects through data collection, analysis, and reporting.
Project Officer
High demandKsh 55,000 to Ksh 80,000
Coordinating and implementing projects in public, private, or NGO sectors.
Analyst
High demandKsh 60,000 to Ksh 90,000
Analysing data, trends, and patterns to support decision-making.
Graduate outcomes
Graduates pursue careers as statisticians, data analysts, statistical programmers and research analysts in the Kenya National Bureau of Statistics, banks, insurance companies, technology firms and research institutions.
Where these fields lead
8 careers- Cloud Security EngineerTechnology14Low exposure
- Industrial Robotics ProgrammerTechnology14Low exposure
- Embedded Firmware EngineerTechnology15Low exposure
- Embedded Linux DeveloperTechnology15Low exposure
- Forensic DNA ScientistScience15Low exposure
- Neuromorphic Computing ResearcherScience15Low exposure
- Site Reliability EngineerTechnology15Low exposure
- Applied Cryptography EngineerTechnology16Low exposure
Tools you will learn
R
SoftwarePrimary
Statistical computing language for data analysis, statistical modelling and visualisation.
Python
SoftwarePrimary
Programming language for data analysis, statistical computing and machine learning.
SPSS
Software
Statistical analysis software for survey data analysis and hypothesis testing.
SAS
Software
Statistical analysis suite for advanced analytics, business intelligence and data management.
Microsoft Excel
Software
Spreadsheet for data entry, basic statistical analysis and report generation.
Certifications
Industry links
Common misconceptions
Statistics and computing is just about counting numbers.
The programme covers probability theory, statistical inference, programming, database systems and computational methods for complex data analysis.
Graduates only work in government statistics offices.
Graduates work in banks, insurance companies, technology firms, research institutions, NGOs and consulting firms as data analysts and statisticians.
The programme is the same as computer science.
The programme combines statistics with computing, focusing on statistical methods and data analysis rather than software engineering.
Statistics is becoming obsolete with AI.
Statistical foundations underpin machine learning and AI, making statistics and computing graduates essential in the data science era.