Program Overview

The Data Science and Analytics program aims to produce uniquely trained graduates with the core mathematical and computer science knowledge and skills needed to present, analyze and ultimately understand data sets. This program is designed to equip students with expertise knowledge and skills in multiple technical disciplines from computer science, mathematics, modelling (applied mathematics) and statistics.

The program inculcates in students the requisite knowledge, skills and attitudes required to unearth value and meaning from large voluminous data to help businesses and organizations make data informed decisions. Throughout the training, students will learn the essentials of data science and analytics through the study of data management, algorithmics and data analysis. Students will design and build data-driven systems for decision-making in the private or public sector, offering a thorough training in predictive, descriptive, and prescriptive analytics. Graduates of the program will develop problem-solving, critical, analytical, and computational and communication skills that will enable them to turn vast quantities of data into insight.

Program Learning Outcomes

Upon completion of the program, students will be able to:

1. Solve analytical problems based on sound data science principles;
2. Develop analytical models and demonstrate their power and limitations;
3. Apply programming and computational tools to analyze and visualize data sets;
4. Deploy machine algorithms to data mining;
5. Apply data science techniques to organization’s data management.

Admission Requirements

To obtain admission into the program, an applicant must satisfy one of the following requirements:

• C+ for Kenya Secondary Certificate of Secondary Education (KCSE) holders or
• At least two principal passes in KACE or EACE or
• Five (5) upper level passes at IGCSE/IB
• Five (5) credits in any 5 subjects at ‘O’ Level or ‘A’ Level passes of C at GCE
• Kenya National Examination Council (KNEC) diploma or equivalent.

Career Options

Graduates will venture into the following careers:

• Data Scientists
• Data Analysts
• Data Managers
• Data System Developers
• Computer Programmers
• Data Engineers
• Data Architects
• Information Analysts
• Statisticians
• Business Intelligence Developers