Bachelor of Economics and Statistics
The Bachelor of Economics and Statistics is a four-year degree programme offered at multiple Kenyan universities.
The curriculum covers microeconomics, macroeconomics, econometrics, probability theory, statistical inference, sampling methods, time series analysis, regression analysis, economic modelling, research methods, data analysis, and economic policy analysis.
Students develop skills in statistical analysis, economic modelling, data interpretation, econometric analysis, research methodology, forecasting, report writing, data visualisation, survey design, and quantitative decision-making.
Graduates pursue careers as statisticians, economic analysts, research analysts, data analysts, policy analysts, and market researchers. They find employment in government ministries, statistical bureaux, research institutes, banks, insurance companies, international organisations, and corporate firms.
The programme is offered at numerous public universities including University of Nairobi (KES 263,000/year), Kisii University (KES 259,335/year), Kirinyaga University (KES 244,800/year), Kenyatta University (KES 183,600/year), Machakos University (KES 183,600/year), University of Embu (KES 183,600/year), Maseno University (KES 183,600/year), Mama Ngina University College (KES 180,000/year), and Open University of Kenya (KES 79,000/year).
Accreditation is provided by the Commission for University Education (CUE), the statutory body responsible for quality assurance and regulation of university education in Kenya. Admission requires a KCSE mean grade of C+ (Plus) with strong passes in Mathematics and English or Kiswahili.
- Duration
- 4 Years
- Public, up to
- Ksh 263,000
- Private, up to
- Ksh 181,150
- Job market
- High
The programme
What you study, how long it takes, and how it is delivered.
Practicalities
- Study mode
- Full-time
- Attachment
- 3 months
- Average class
- 50 students
- Award
- Bachelor
What you study
10 subjects- Microeconomics
- Macroeconomics
- Econometrics
- Probability Theory
- Statistical Inference
- Sampling Methods
- Time Series Analysis
- Regression Analysis
- Economic Modelling
- Research Methods
Modules
12 in the programmePrinciples of Microeconomics
Year 1Semester 13 creditsCore
Introduction to microeconomic theory, consumer behaviour, production theory, and market structures.
Principles of Macroeconomics
Year 1Semester 13 creditsCore
Introduction to macroeconomic theory, national income, inflation, unemployment, and fiscal policy.
Probability Theory
Year 1Semester 23 creditsCore
Foundations of probability, random variables, probability distributions, and applications to economics.
Descriptive Statistics
Year 1Semester 23 creditsCore
Data summarisation, graphical methods, measures of central tendency and dispersion, and data presentation.
Statistical Inference
Year 2Semester 13 creditsCore
Estimation, hypothesis testing, confidence intervals, and significance testing in economic contexts.
Econometrics
Year 2Semester 13 creditsCore
Regression analysis, specification, diagnostics, and applied econometric modelling.
Sampling Methods and Survey Design
Year 2Semester 23 creditsCore
Sampling techniques, survey design, questionnaire development, and data collection methods.
Time Series Analysis
Year 3Semester 13 creditsCore
Time series models, forecasting methods, seasonal adjustment, and economic trend analysis.
Economic Modelling and Forecasting
Year 3Semester 13 creditsCore
Building and estimating economic models for forecasting, policy simulation, and scenario analysis.
Regression Analysis
Year 3Semester 23 creditsCore
Multiple regression, nonlinear models, logistic regression, and model selection techniques.
Economic Policy Analysis
Year 4Semester 13 creditsCore
Statistical approaches to policy evaluation, impact assessment, and evidence-based policy.
Research Project and Industrial Attachment
Year 4Semester 26 creditsCore
Supervised industrial attachment at a statistics or economics organisation and a final-year research project.
Specialisations
Econometrics
Focus on statistical methods for economic data analysis, regression modelling, and hypothesis testing.
Applied Statistics
Focus on statistical methods and techniques applied to economic and social data. 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.
Economic Modelling
Focus on building and estimating economic models for forecasting and policy analysis. 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.
Time Series Analysis
Focus on analysing time-ordered economic data for forecasting and trend analysis. 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.
Survey Methods
Focus on survey design, sampling techniques, and data collection for economic research. 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.
Data Analytics
Focus on using statistical tools and software for economic data analysis and visualisation. 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.
Development Statistics
Specialization in Development Statistics, preparing graduates for careers such as development-economist.
Demography
Specialization in Demography, preparing graduates for careers such as economist-kenya. 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.
Statistical Computing
Specialization in Statistical Computing, preparing graduates for careers such as economic-data-scientist.
A day as a student
A typical day combines economics lectures, statistics tutorials, and computer laboratory sessions. Morning sessions cover microeconomics, macroeconomics, and econometrics theory, while afternoons focus on statistical computing in R and SPSS, data analysis practicals, and regression modelling workshops. Students work on real-world economic datasets, design surveys, and build statistical models. The programme emphasises quantitative skills and data-driven economic analysis.
The trade offs
In its favour
- Strong demand for statistical skills across all sectors
- Diverse career paths in research, finance and government
- Combines economic theory with practical data skills
- Growing demand for data-driven decision-making
Against it
- Requires aptitude for quantitative methods
- Some roles may require additional certifications
- Can involve extended periods of computer-based work
- Technology and tools change, requiring continuous learning
What it costs
Tuition at both ends of the market, and how to pay for it.
What it costs, and where
Against 243 science 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 263K, KU 183,600/yr (KUCCPS). MKU 105K, Kabarak 181,150/yr (KUCCPS).
HELB loans and Higher Education Fund (HEF) support are available for qualifying Kenyan students. County government bursaries and institutional scholarships may also be available.
Funding options
Higher Education Loans Board (HELB)
Higher Education Fund (HEF)
County Government Bursaries
Scholarships
3 recordedHigher Education Fund (HEF)
Government fundingKenyan
Kenyan students in public universities under the new funding model based on financial need assessment.
Higher Education Loans Board (HELB) Loan
LoanKsh 60,000Kenyan
Kenyan students admitted to recognised universities
County Government Bursaries
BursaryKenyan
Residents of respective counties
Getting in
The grades, the alternatives, and who accredits the award.
What you need
- KCSE mean grade
- C+ (Plus)
- Alternative entry
- KACE with at least two principal passes and one subsidiary pass; OR a relevant diploma from a recognised institution; OR any other qualification accepted by the university Senate.
How you are assessed
5 componentsData Analysis Projects and Assignments
Coursework30% of the mark
Continuous Assessment Tests (CATs)
Coursework30% of the mark
Research Project
Coursework100% of the mark
Final Examination
Coursework40% of the mark
Continuous Assessment Tests and Assignments
Coursework30% of the mark
Written tests, problem sets, data analysis assignments, and statistical reports throughout the semester.
Accreditation
The programme is accredited by the Commission for University Education (CUE), the statutory body responsible for quality assurance and regulation of university education in Kenya.
Accredited by
Commission for University Education (CUE)
Academic accreditationRequired
CUE is the statutory body responsible for the accreditation and quality assurance of university programmes in Kenya.
Where it leads
The roles it opens, and what you leave with.
Where graduates go
7 rolesM&E Officer
Moderate demandKsh 45,000 to Ksh 130,000
Monitors and evaluates programmes using statistical methods and data analysis
Statistician
High demandKsh 50,000 to Ksh 250,000
Collects, analyses, and interprets statistical data for government, research, and business.
Economic Analyst
High demandKsh 55,000 to Ksh 280,000
Analyses economic data using statistical methods to inform business and policy decisions.
Research Analyst
Moderate demandKsh 45,000 to Ksh 200,000
Conducts economic and statistical research, designs surveys, and prepares analytical reports.
Data Analyst
High demandKsh 50,000 to Ksh 250,000
Analyses large datasets using statistical tools to inform business and economic decisions.
Policy Analyst
Moderate demandKsh 50,000 to Ksh 220,000
Uses statistical methods to evaluate public policies and provide evidence-based recommendations.
Market Researcher
Moderate demandKsh 45,000 to Ksh 180,000
Designs and conducts market research using statistical sampling and survey methods.
Graduate outcomes
Graduates work as statisticians, economic analysts, and research analysts in government, statistical bureaux, banks, and research institutes. Demand is high with strong opportunities in data-driven economic analysis.
Where these fields lead
8 careers- CriminologistSocial Sciences16Low exposure
- Geographer (Human & Physical)Social Sciences18Low exposure
- Climatologist / MeteorologistSocial Sciences19Low exposure
- Restorative Justice PractitionerSocial Sciences21Low exposure
- EntrepreneurBusiness23Low exposure
- AI Safety ResearcherTechnology25Low exposure
- Reinsurance AnalystBusiness25Low exposure
- Cyber Security AnalystTechnology26Low exposure
Tools you will learn
R
Statistical programmingPrimary
Open-source programming language for statistical computing and econometric analysis.
SPSS
Statistical softwarePrimary
Statistical analysis software widely used for survey data and social science research.
Stata
Statistical software
Statistical software for econometric analysis and data management.
Microsoft Excel
Data analysis
Spreadsheet tool for data analysis, statistical calculations, and visualisation.
Python
Programming language
Programming language for data analysis, statistical modelling, and machine learning.
SAP FICO
ErpPrimary
SAP financial and controlling module.
QuickBooks Enterprise
Accounting
Advanced accounting for SMEs.
SAP ERP
ErpPrimary
Oracle ERP
Erp
Certifications
Industry links
Common misconceptions
This is just a statistics degree with some economics units.
The programme provides equal depth in both economics and statistics, creating a unique interdisciplinary skill set highly valued in research and policy.
Graduates can only work as statisticians in government.
Graduates work in diverse sectors including banking, insurance, research, international organisations, and corporate firms.
The programme is too mathematical for average students.
The programme builds statistical and mathematical skills progressively from foundational to advanced levels.
Economics and Statistics is the same as Economics and Finance.
While both combine economics with another discipline, this programme focuses on statistical methods and data analysis rather than financial management.
Related courses
Further reading
Fees and entry marks for Bachelor of Economics and Statistics are restated every intake. Save it and the app keeps this version, so you can see what changed when it does.