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Bachelor of Science in Statistics and Programming

The Bachelor of Science in Statistics and Programming is a degree programme that equips students with knowledge and skills in in statistics and programming. The programme falls under the Sciences category and typically spans 4 years of full-time study at accredited Kenyan universities.

Duration
4 years
Next intake January 2027
Public tuition
Ksh 306,000
Ksh 1,224,000 total
Private tuition
Ksh 441,500
Ksh 1,766,000 total
Job market
Moderate
Market demand for graduates

The short answer

What it costs
Up to Ksh 306,000 a year at a public institution, Ksh 1,224,000 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+ 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 9 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 Programming, Data Structures, Database Systems, Networking, Software Engineering, Web Development. Students engage with both theoretical foundations and practical applications, developing competencies in Rust, Smart-contract security, Advanced Machine Learning, AI Ethics, AI Ethics and Governance. The coursework is designed to build progressive understanding from foundational concepts to advanced topics.

Throughout the programme, students study Microbiology, Environmental Science, Research Project, Cell Biology and Genetics, Physics for Sciences. The teaching approach combines lectures, laboratory practicals, tutorials, assignments and independent research projects. This blend ensures graduates can apply theoretical knowledge to real-world problems in their field.

The programme offers specialisations in Software Engineering, Data Science & Analytics, Artificial Intelligence. Students can focus their studies on areas of particular interest, allowing them to tailor their degree to specific career goals. The flexibility enables graduates to pursue diverse professional paths within the sector.

Graduates of the Bachelor of Science in Statistics and Programming pursue careers as Marine Research Assistant (Junior), Clinical Trial Scientist (Junior), Research Data Analyst (Junior), Research Program Coordinator. They find employment in various sectors including government agencies, private companies, research institutions, non-governmental organisations and academic institutions. The degree opens doors to both local and international opportunities.

The programme is accredited by the Commission for University Education (CUE) and offered at recognised universities across Kenya. Students benefit from industry attachments, fieldwork and practical training that complement classroom learning and enhance employability upon graduation.

What you study

6 subjects
  • Programming
  • Data Structures
  • Database Systems
  • Networking
  • Software Engineering
  • Web Development

Modules

12 in the programme

  • Probability Theory and Mathematical Statistics

    Year 1Semester 13 creditsCore

    Probability distributions, statistical inference and mathematical foundations of statistics.

  • Cell Biology and Genetics

    Year 1Semester 13 creditsCore

    Cell structure, function, division, DNA replication, gene expression, and inheritance.

  • Programming Fundamentals and Algorithms

    Year 1Semester 23 creditsCore

    Programming concepts, algorithm design and computational problem-solving for statistics.

  • Statistical Computing and Visualisation

    Year 2Semester 13 creditsCore

    Computing methods for statistics, data visualisation and programming for data analysis.

  • 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...

  • Microbiology

    Year 2Semester 23 creditsCore

    Microbial structure, metabolism, genetics, cultivation, and applied microbiology.

  • Data Structures and Database Systems

    Year 2Semester 23 creditsCore

    Data structures, database design and data management for statistical applications.

  • Machine Learning Fundamentals

    Year 3Semester 13 creditsCore

    Introduction to machine learning algorithms, classification and predictive modelling.

  • Software Development for Data Applications

    Year 3Semester 23 creditsCore

    Building data-driven software applications, web analytics tools and statistical software development.

  • Environmental Science

    Year 3Semester 23 creditsCore

    Environmental Science: Ecosystems, biodiversity, environmental pollution, and conservation. Covers ecosystem dynamics, conservation principles, and environmental management practices.

  • 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 ...

  • Research Project

    Year 4Semester 16 creditsCore

    Research Project: Independent research project culminating in a defended report. Involves independent research, data analysis, and scholarly writing under supervision.

Specialisations

  • Software Engineering

    Covers the software lifecycle — requirements, architecture, coding, testing and deployment — using modern languages and methodologies. Students build real systems and graduate with a portfolio.

  • Data Science & Analytics

    Combines statistics, programming, machine learning and data engineering to extract insight from data. Students work with real datasets and tools, preparing for high-demand analyst and data-science roles.

  • Artificial Intelligence

    Focuses on machine learning, natural language processing, computer vision and intelligent systems. Students build and evaluate AI models, positioning themselves for emerging roles in Kenya's tech sector.

  • Networks & Security

    Covers network architecture, protocols, systems administration and cybersecurity. Students learn to design, run and defend IT infrastructure — skills every connected organisation needs.

  • Database Systems

    Covers relational and non-relational database design, SQL, optimisation and administration. Students learn to model, build and manage the data backends that power modern applications.

  • Data Science and Analytics

    Focus on machine learning, data mining 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.

  • Statistical Programming

    Specialisation in programming for statistical analysis, algorithm development and data-driven software.

  • Applied Statistics

    Focus on sampling methods, experimental design and statistical inference for practical applications.

  • Database and Data Management

    Specialisation in database design, data engineering and data infrastructure management. 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 blends lectures, practicals and group work, with attachment/internship in the field.

The trade-offs

In its favourAgainst it
High pay and strong demand.Rapidly changing — must keep learning.
Remote and global opportunities.Junior roles face AI pressure.
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 courses
Public288k to 306k
288k at University of Nairobi306k at Kenyatta University
Private110k to 442k
110k at Mount Kenya University442k at USIU-Africa

Annual 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 288K, KU 306K (uonbi, ku.ac.ke). USIU 441.5K, MKU 110K/yr.

HELB loans, county scholarships and university bursaries available.

Funding options

  • HELB Loan

  • Government Bursary

  • CDF Scholarship

  • Self-sponsored

Scholarships

3 recorded

  • Higher 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

11 usable where it is taught
Save one and be reminded before it closes

Getting in

The grades, the alternatives, and who accredits the award.

What you need

KCSE mean grade
C+minimum entry
Alternative entry

Diploma progression or bridging.

When it next starts

Taught at 9 institutions
January 20279 institutions

Including Kenyatta University, University of Eldoret, Murang'a University of Technology.

May 20278 institutions

Including Kenyatta University, University of Eldoret, Murang'a University of Technology.

September 20279 institutions

Including Kenyatta University, University of Eldoret, Murang'a University of Technology.

How you are assessed

5 components

  • Continuous 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.

  • Continuous Assessment Tests

    Cat20% of the mark

    Continuous Assessment Tests for this programme.

  • Practical Lab

    Practical20% of the mark

    Practical Lab for this programme.

  • Coursework Project

    Project30% of the mark

    Coursework Project for this programme.

Accreditation

  • Commission for University Education

    NationalRequired

    Accredits university-level programmes.

  • 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 CUE and relevant professional bodies.

Where it leads

The roles it opens, and what you leave with.

Where graduates go

8 roles

  • Graduate 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.

  • Marine Research Assistant (Junior)

    Low demandKsh 45,000 to Ksh 90,000

    Entry-level role for Bachelor graduates in Sciences. Marine Research Assistant (Junior)s work across various organizations in Kenya. Hiring trend: Growing.

  • Clinical Trial Scientist (Junior)

    Low demandKsh 55,000 to Ksh 110,000

    Entry-level role for Bachelor graduates in Sciences. Clinical Trial Scientist (Junior)s work across various organizations in Kenya. Hiring trend: Growing.

  • Research Data Analyst (Junior)

    Low demandKsh 50,000 to Ksh 100,000

    Entry-level role for Bachelor graduates in Sciences. Research Data Analyst (Junior)s work across various organizations in Kenya. Hiring trend: Stable.

  • Research Program Coordinator

    Low demandKsh 60,000 to Ksh 120,000

    Entry-level role for Bachelor graduates in Sciences. Research Program Coordinators work across various organizations in Kenya. Hiring trend: Growing.

Graduate outcomes

Graduates find opportunities across ict & computing in Kenya's public, private and entrepreneurship sectors.

Where these fields lead

8 careers

Tools you will learn

  • Docker

    Cloud

  • Git

    CodePrimary

  • GitHub Copilot

    Ai

  • PostgreSQL

    Database

  • Python

    CodePrimary

  • VS Code

    Code

  • R

    SoftwarePrimary

    Statistical computing language for data analysis, modelling and visualisation.

  • SQL

    Software

    Database query language for data extraction, management and manipulation.

  • SPSS

    Software

    Statistical analysis software for survey data and hypothesis testing.

  • Microsoft Excel

    Software

    Spreadsheet for data entry, basic analysis and report generation.

Certifications

Common misconceptions

  • This course has limited career prospects.

    Graduates find opportunities across the public service, private industry, entrepreneurship, and further academic study.

  • The course is too theoretical with no practical value.

    Programmes incorporate practical training, internships, and industry attachment to ensure graduates are job-ready.

  • You must have a related background to enrol.

    Most programmes accept students from diverse academic backgrounds, with bridging support where needed.

  • Graduates of this course earn very little.

    Earnings grow steadily with experience, specialisation, and professional certification.

Further reading

Read next