4th GLOBAL DATA SCIENCE AND
ARTIFICIAL INTELLIGENCE SUMMIT
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Harnessing Generative AI and Big Data Ecosystems for Resilience, Innovation, and Transformation Across Diverse Sectors
UPCOMING PROGRAMMES
ABOUT THE DEPARTMENT
This department fosters collaboration between mathematics and the computing sciences for advancing study into the manipulation and interpretation of data to address some of society’s most urgent issues. They work in tandem with internal and external partners, including: The Business School, Institute of Mathematical Sciences and various industry partners.
The department and its partners collaborate to improve stakeholder outcomes in the multiple areas, some of which are: Cybersecurity, Business Intelligence & Analytics, Health, Communications, Civics, and Smart Cities.
Career options include (not limited to):
- Data Scientist
- Quantitative Analyst
- Applications Architect
- Business Intelligence Developer
- Statistician
- Data Engineer
- Machine Learning Engineer
- Business Analyst
VISIT OUR E-LEARNING PLATFORM
Harnessing Data for Innovation.
One of the department’s aims is to train the next generation of Kenyan data scientists who are not only able to develop society serving innovative solutions, but also hold their own as data professionals anywhere in the world.
The department has received several grants to work on climate, financial and immigration data, as well as consultancy projects in Health care, Agriculture, FMCG, Hospitality, Retail supermarkets, Banking and Insurance sectors.
The team is eager to fulfill one of its mandates to be an invaluable resource to businesses, governments and private entities by providing expertise in data analytics.
DASHBOARDS BY INDUSTRY
Data has a Better Idea!
WHY CHOOSE US
SERVICES
Consultancy
We provide detailed and thorough analytical solutions that enhance the growth of your business.
Research
We offer research services across diverse fields to provide insightful and actionable information geared to grow your business.
Training
We offer high quality trainings that equip our students with practical and cutting edge skills relevant for the Data Science profession.