Master of Science

Data Analytics

Who can join?

This masters programme is suitable for both specialist and non-specialist graduates who would like to transform business decision making and planning by harnessing the latest technology and techniques associated with extracting valuable information from large data sets.

Entry qualifications

Bachelor's degree  with a significant mathematical component with required work experience OR any other equivalent qualification approved by the university Senate.

For actual subject and work experience requirements please contact the enrollment office.

Duration: 2 years (six trimesters)

System Dynamics Modelling

Information System Security

Logic, Sense Making & Business Intelligence

Data Analytics and Knowledge Engineering

Advanced Research Methods



Human Perception and Information Visualization

Fee Structure

KSh. 97,205

KSh. 94,205

KSh. 94,205

KSh. 94,205


Trimester 5

Trimester 4

Trimester 3

Trimester 2

Trimester 1


  • This fee structure is subject to review by the University

  • All fees are payable in installments

  • Please contact the Enrollment office for additional information on programme requirements and fees structure

Gain the skills to empower organisations through big data analytics. Governments, big and small businesses, and organizations such as hospitals and schools are constantly collecting and storing data. However, they face the challenge of harnessing all this data to create knowledge that will underpin a healthier, safer, more productive world. This programme focuses on technologies and techniques that will allow you to manage vast amounts of information and transform it into actionable knowledge.

Request information

+254 715 532187

Curriculum Road Map

Request information:

Contact us on:

0715 532187 or

e-Business  Architecture and Systems

Database Storage and Management

Business Process Modelling and Web Apps

Object Oriented Technologies

Database Integration and


Data Mining and Data Warehousing

Visual Analytics System Architecture

Cyber Security and Forensics

Trimester 5