Certificate in Big Data
The Certificate in Big Data is a specialised programme that introduces students to the fundamentals of big data analytics, data processing and data visualisation. Offered at Lukenya University, the programme equips learners with practical skills in handling large datasets and using data analytics tools.
The short answer
- What it costs
- Up to Ksh 67,189 a year at a public institution, Ksh 33,595 for the whole course. Up to Ksh 64,000 a year at a private one.The detail
- Who can get in
- A KCSE mean grade of C- or above, plus 1 subject grade. There is another way in without it.The detail
- How long, and when
- Takes 6 months, full-time, with 3 months of attachment. Next intake January 2027, at 1 institution.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
Students develop competencies in data collection, data cleaning, statistical analysis, data visualisation and basic machine learning concepts. The curriculum covers popular data analytics tools and platforms, enabling graduates to support data-driven decision-making in organisations.
Kenya's technology sector is embracing data-driven approaches, with organisations in finance, healthcare, agriculture and government increasingly relying on data analytics. The demand for entry-level data professionals who can process and analyse large datasets is growing steadily.
Teaching is delivered through classroom instruction, laboratory sessions and project-based learning. Students work with real datasets and analytics tools to develop practical competency in data handling and visualisation.
Graduates typically find employment as data entry analysts, junior data analysts, business intelligence assistants or data technicians in technology firms, research organisations and corporate departments.
The programme is ideal for KCSE graduates with an interest in data and technology who wish to enter the growing field of data analytics.
What you study
8 subjects- Data Analytics Fundamentals
- Data Visualisation
- Statistical Analysis
- Database Management
- Python for Data Analysis
- Data Cleaning and Preparation
- Business Intelligence
- Machine Learning Basics
Modules
8 in the programmeIntroduction to Big Data
Year 1Semester 13 creditsCore
Overview of big data concepts, technologies and applications in modern organisations.
Data Analytics Fundamentals
Year 1Semester 13 creditsCore
Introduces data analysis processes, descriptive statistics and exploratory data analysis.
Database Management
Year 1Semester 13 creditsCore
Covers relational database concepts, SQL queries and basic database design.
Python for Data Analysis
Year 1Semester 13 creditsCore
Teaches Python programming with focus on data manipulation libraries.
Data Visualisation
Year 1Semester 13 creditsCore
Covers visualisation principles and tools for creating charts, dashboards and reports.
Data Cleaning and Preparation
Year 1Semester 12 creditsCore
Teaches techniques for data cleaning, transformation and quality assurance.
Statistical Analysis
Year 1Semester 13 creditsCore
Introduces statistical methods for data analysis including hypothesis testing and regression.
Business Intelligence Basics
Year 1Semester 12 creditsCore
Overview of BI concepts, reporting tools and data-driven decision making.
A day as a student
A typical day begins with a lecture on data analytics concepts or statistical methods, followed by a laboratory session where students work with datasets using Python and visualisation tools. Afternoons involve project work analysing real data sets.
The trade-offs
| In its favour | Against it |
|---|---|
| Entry into the high-demand field of data analytics with practical, job-ready skills. | Certificate-level skills limit roles to entry-level positions. |
| Short duration allows quick entry into the job market. | Rapidly evolving field requires continuous learning of new tools and techniques. |
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
TUK 28K (10wk), Finstock 64K total, Kamukunji TVC 67K/yr (tukenya.ac.ke, finstockevarsity.com).
Students may access HELB loans and NGCDF bursaries.
Funding options
HELB Loan
NGCDF Bursary
Scholarships
2 recordedHELB Loan
LoanKsh 40,000Kenyan
Kenyan students in accredited certificate programmes
NGCDF Bursary
BursaryKenyan
Kenyan students from low-income backgrounds
Scholarships you could apply for
1 usable where it is taught- Moringa School Craftbyte Scholarship
QuarterlyFullMoringa School
Full software development course
Getting in
The grades, the alternatives, and who accredits the award.
What you need
Relevant IT certificate or experience
When it next starts
Taught at 1 institutionIncluding Lukenya University.
Including Lukenya University.
Including Lukenya University.
How you are assessed
3 componentsContinuous Assessment Tests
Written examination30% of the mark
Regular CATs throughout each semester.
Practical Assignments
Practical30% of the mark
Hands-on assignments assessed on competency.
End of Semester Examinations
Written examination40% of the mark
Formal written examinations at the end of each semester.
Accreditation
Commission for University Education
AcademicRequired
The programme is accredited by the Commission for University Education under the respective university's charter.
Accredited by the Commission for University Education (CUE) under Lukenya University's charter.
Where it leads
The roles it opens, and what you leave with.
Where graduates go
3 rolesJunior Data Analyst
High demandKsh 30,000 to Ksh 60,000
Assists in data collection, cleaning and basic analysis to support business decisions.
Data Entry Analyst
Moderate demandKsh 22,000 to Ksh 40,000
Manages data entry, validation and basic reporting tasks.
Business Intelligence Assistant
Moderate demandKsh 28,000 to Ksh 55,000
Supports BI operations including report generation and dashboard maintenance.
Graduate outcomes
Graduates work as data entry analysts, junior data analysts and business intelligence assistants in technology firms and corporate departments.
Where these fields lead
8 careers- Cloud Security EngineerTechnology14Low exposure
- Industrial Robotics ProgrammerTechnology14Low exposure
- Embedded Firmware EngineerTechnology15Low exposure
- Embedded Linux DeveloperTechnology15Low exposure
- Site Reliability EngineerTechnology15Low exposure
- Applied Cryptography EngineerTechnology16Low exposure
- Database Reliability EngineerTechnology16Low exposure
- Edge Computing EngineerTechnology16Low exposure