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Institutional Modelling
Quantitative approaches to planning, resource allocation, educational quality, decision-making, and sustainable growth in higher education institutions.
JUCo DSRG · 2026/2027
Data Science & Modelling Research Group
An interdisciplinary early-career research initiative at Jordan University College, Morogoro, bringing together mathematics, data science, statistical analysis, and mathematical modelling.
About the Group
Research at the intersection of mathematics, data and society.
The JUCo Data Science & Modelling Research Group is an interdisciplinary initiative designed to introduce early-career researchers to quantitative research, statistical analysis, computational methods, and mathematical modelling.
The group provides a collaborative environment where students and researchers can develop practical research skills while working on problems relevant to higher education, health, wellbeing, and sustainable development.
Learn more about our research vision and the direction of the group →
Learn. Model. Analyse. Research. Building quantitative research capacity through interdisciplinary collaboration.
Research Directions
Problems worth modelling.
The group applies quantitative and computational approaches to practical institutional and societal challenges.
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Health & Wellbeing Modelling
Data-driven research addressing public health, resilience, wellbeing, and equitable access through statistical analysis, mathematical modelling, and analytical methods.
What You Gain
Build skills that support research.
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Data Science Skills
Develop practical skills in data analysis, statistics, and computational methods.
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Mathematical Modelling
Learn how mathematical models can represent real-world systems and research problems.
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Research Experience
Gain experience developing questions, analysing evidence, and communicating findings.
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Academic Development
Strengthen quantitative reasoning and academic research skills.
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Mentorship
Work within a supportive environment with guidance from experienced researchers.
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Career Preparation
Build transferable analytical skills useful for research, industry, and postgraduate study.
Who Can Join
Open to emerging researchers.
The programme is designed for students and researchers interested in quantitative and interdisciplinary research.
- Mathematics undergraduate students
- Computer Science undergraduate students
- Postgraduate researchers
- Undergraduates with at least two academic years remaining
- Applicants interested in quantitative research methods
Women are encouraged to apply. We particularly welcome applications from women interested in mathematics, data science, statistics, computing, and quantitative research.
Selection
What we look for.
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Motivation
Genuine interest in research, data, mathematics, or modelling.
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Commitment
Willingness to participate consistently throughout the programme.
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Quantitative Interest
Curiosity about using numbers, evidence, and models to understand problems.
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No Prior Coding Required
Beginners are welcome and can develop computational skills during the programme.
Join JUCo DSRG
Turn quantitative ideas into meaningful research.
If you are curious about data, mathematics, modelling, and research, we invite you to apply.
Apply to the Programme Contact
Get in touch.
Programme Lead
Dr. Anna Fome
Group Coordinator