Technology

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.

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.

Duration: 6 months
Public, up to: Ksh 67,189
Private, up to: Ksh 64,000
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: 40 students
Award: Certificate

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 programme

Introduction 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

Entry into the high-demand field of data analytics with practical, job-ready skills.
Short duration allows quick entry into the job market.

Against it

Certificate-level skills limit roles to entry-level positions.
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 courses

Public28k to 67k

28k at Technical University of Kenya67k at Kamukunji TVC

Private33k to 64k

33k at Eastlands College of Technology64k at Finstock Evarsity College

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

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 recorded

HELB Loan
LoanKsh 40,000Kenyan
Kenyan students in accredited certificate programmes
NGCDF Bursary
BursaryKenyan
Kenyan students from low-income backgrounds

Getting in

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

What you need

KCSE mean grade: C-
Alternative entry: Relevant IT certificate or experience

Mathematics
D

How you are assessed

3 components

Continuous 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

Accredited by the Commission for University Education (CUE) under Lukenya University's charter.

Accredited by

Commission for University Education
AcademicRequired
The programme is accredited by the Commission for University Education under the respective university's charter.

Where it leads

The roles it opens, and what you leave with.

Where graduates go

3 roles

Junior 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

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Fees and entry marks for Certificate in Big Data are restated every intake. Save it and the app keeps this version, so you can see what changed when it does.

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