Our Vision & Mission
Our Vision
To be a globally recognized leader in data science and applied statistics education, driving innovation and transforming lives through data-driven decision-making.
We envision a future where data literacy empowers individuals and institutions across Africa and beyond to solve real-world challenges with intelligence, ethics, and impact.
Our Mission
We are committed to excellence in education, research, and community engagement. Our mission is to:
- Educate and train the next generation of data scientists with cutting-edge skills.
- Conduct impactful research that addresses regional and global challenges.
- Promote data literacy and democratize access to data science tools.
- Foster collaboration between academia, industry, and government.
Campus Life
Meet Our Faculty
KIRWA TIMOTHY
MSc Public Health (MUST)
Kirwa Timothy is a dedicated public health professional with a Master's degree in Public Health from Mbarara University of Science and Technology (MUST). His research interests lie at the intersection of public health and data science, focusing on disease surveillance, health outcomes analysis, and evidence-based interventions. He is committed to improving community health through data-driven decision-making and capacity building.
TURYAMUHAKI NOEL
MSc Data Science (MAHE)
Turyamuhaki Noel is a data science expert with a Master's degree in Data Science from Manipal Academy of Higher Education (MAHE). His research focuses on infectious disease modeling, climate change forecasting, uncertainty quantification in machine learning, and statistical modeling. He is passionate about harnessing the power of data to predict and mitigate public health and environmental risks, contributing to sustainable development.
JUMBA FAHAD
MSc Data Science (MAHE)
Jumba Fahad holds a Master's degree in Data Science from Manipal Academy of Higher Education (MAHE). His expertise lies in analyzing data patterns and trends to identify problems and develop data-driven solutions. He is dedicated to applying machine learning and statistical techniques to real-world challenges in business, healthcare, and social systems, with a strong emphasis on ethical AI and reproducible research.
What Our Students Say
"SPARK Institute gave me the skills and confidence to launch my career in data science. The faculty are incredibly supportive and the curriculum is perfectly balanced between theory and practical application."
- A. Graduate, Class of 2022"The learning environment at SPARK is truly world-class. The modern facilities and collaborative spaces make it easy to immerse yourself in your studies and connect with fellow students who share your passion for data."
- B. Student, MSc Data ScienceTechnologies We Teach
We integrate industry-leading tools and platforms to deliver a cutting-edge data science education.
Python
Whether you're new to programming or an experienced developer, it's easy to learn and use Python. It compiles and runs on a wide variety of platforms and is the most popular language in data science and machine learning.
Learn MoreR
R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS, making it ideal for academic and industry research.
Learn MoreMySQL
Use automated and integrated generative AI and machine learning (ML) in one cloud service for transactions and lakehouse scale analytics. Get faster insights from all your data with unmatched performance.
Learn MoreTensorFlow
An end-to-end open-source platform for machine learning. Whether you're new to programming or an experienced developer, it's easy to learn and use TensorFlow for building and deploying ML models at scale.
Learn MoreTableau
Fuel faster data, insights, and action with Tableau Next. Turn trusted insights into autonomous action anytime, anywhere, with the world's first agentic analytics platform.
Learn More