Designing a Master’s Degree Programme in Artificial Intelligence and Data Science: Preparing Africa’s Future Workforce at Universal Technology and Management University

Abstract

Artificial Intelligence (AI) and Data Science (DS) are reshaping how societies learn, work, and innovate. In Uganda and Sub-Saharan Africa, the rapid expansion of digital infrastructure has intensified the need for advanced human capital capable of harnessing AI for development. In response, Universal Technology and Management University (UTAMU) has developed a Master’s programme in Artificial Intelligence and Data Science (AI&DS). This paper presents the programme’s rationale, curriculum design, admission framework, interdisciplinary orientation, and implementation strategy. Key ideas include structured bridging modules for diverse entrants, a clearly sequenced curriculum with defined credit loads and assessment strategies, and an implementation roadmap addressing faculty and infrastructure constraints. The programme integrates responsible AI aligned with Uganda’s data protection frameworks and introduces a mandatory AI Governance Practicum grounded in local case studies. The paper concludes by highlighting the programme’s potential to contribute to national development, strengthen institutional leadership, and position Africa within the global AI ecosystem.