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Taita Taveta University

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Dean's Office – School of Science & Informatics

Advancing Knowledge Through Mathematics, Statistics, Computing and Geospatial Science

Office of the Dean

Prof. Oscar Owino Ngesa
Dean

Prof. Oscar Owino Ngesa

Dean, School of Science & Informatics

PhD in Statistics (University of KwaZulu-Natal), MSc in Statistics (JKUAT)

Professor of Statistics
+254 (0) 20 221 3700

Profile Summary

Prof. Oscar Owino Ngesa is a Kenyan statistician, researcher, and university lecturer with extensive experience in statistical analysis, research, and academic training. He holds a PhD in Statistics from University of KwaZulu-Natal, a Master of Science in Statistics from Jomo Kenyatta University of Agriculture and Technology, and a strong academic background in statistical modeling and data analysis.

Prof. Ngesa currently serves as Dean of the School of Science and Informatics at Taita Taveta University. He has significant experience teaching undergraduate and postgraduate students and supervising research projects in statistics and data science–related fields.

With over 15 years of experience in research, survey design, and data analysis, Prof. Ngesa has worked on various academic and applied research projects. His work often focuses on applying advanced statistical methods to solve real-world problems in areas such as public health, social sciences, and development research.

Research Interests

Statistical Modeling Spatial Statistics Survival Analysis Epidemiological Data Survey Methodology Data Science AI & Analytics Public Health Research

Throughout his academic career, Prof. Ngesa has contributed to numerous peer-reviewed publications in reputable journals and has participated in several research collaborations and conferences. His work in statistics and applied data analysis has supported research initiatives in Kenya and beyond.

Welcome to the School of Science and Informatics

It is my pleasure to welcome you to the School of Science and Informatics at Taita Taveta University. Our School is committed to excellence in teaching, research, innovation, and community engagement, with the goal of nurturing skilled professionals and innovators who can address today's challenges through science, technology, and data-driven solutions.

We offer diverse academic programmes in Mathematics, Statistics, Computing, Information Technology, Geoinformatics, Chemistry, and Physics, while embracing emerging fields such as Artificial Intelligence (AI), Data Science, and Analytics. Through these programmes, we equip our students with the knowledge, practical skills, and innovative mindset needed to thrive in a rapidly evolving digital world.

Our School is also at the forefront of research and innovation, applying science and technology to solve real-world problems in health, agriculture, environment, and sustainable development. By integrating AI, analytics, and computational methods, we are building solutions that contribute to societal transformation.

As Dean, I am honored to lead this vibrant academic community. With over 15 years of experience in statistical analysis, research, and academic training, my passion remains in advancing knowledge and mentoring the next generation of scientists and data-driven professionals.

I invite you to explore the opportunities within our School and join us in our journey of discovery, innovation, and excellence.

Together, let us shape the future through science, informatics, and technology.
Prof. Oscar Owino Ngesa
Dean, School of Science and Informatics

Statistical Expertise

Advanced statistical modeling, spatial statistics, survival analysis, and epidemiological data analysis for public health and social sciences research.

Survey Design & Analysis

Extensive experience in survey design, data management systems, and statistical analysis for development projects and evidence-based decision-making.

Teaching & Mentorship

Over 15 years teaching undergraduate and postgraduate students, supervising research projects in statistics and data science–related fields.

Consultancy

Applied statistical work supporting organizations and institutions requiring rigorous data analysis and evidence-based decision-making.

Our Collaborators & Partners

Proud to collaborate with leading institutions and organizations worldwide

DAAD

DAAD

German Academic Exchange Service

NML - CSIR India

NML - CSIR India

National Metallurgical Laboratory

WFURS

WFURS

World Forum of Universities of Resources on Sustainability

Technical University of Mombasa

Technical University of Mombasa

Kenya

HTW Dresden

HTW Dresden

University of Applied Sciences, Germany

GIA

GIA

Gemological Institute of America

TU Clausthal

TU Clausthal

Clausthal University of Technology, Germany

TU Bergakademie Freiberg

TU Bergakademie Freiberg

Technische Universität Bergakademie Freiberg, Germany

Technical University of Munich

Technical University of Munich

Germany - Engineering & Technology Exchange

Federal University of Technology Akure

Federal University of Technology Akure

Nigeria - Mineral Processing Research

University of Toronto

University of Toronto

Canada - Faculty Exchange & Research

AmCham Kenya

AmCham Kenya

USA/Kenya - Critical Supply Chains

Beijing University of Technology

Beijing University of Technology

China - Mining Engineering Collaboration

University of Nairobi

University of Nairobi

Kenya - Joint Research Projects

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