The Maldives National University (MNU) has expanded professional development opportunities for academic staff through the second batch of its “Data Analysis Using R” training, reinforcing efforts to strengthen research capabilities, digital competencies, and evidence-based academic practices.

The training focused on equipping academic staff with essential skills in using R, a widely used statistical programming language, to manage, analyse, and interpret research data. The initiative highlighted the increasing importance of data literacy and analytical expertise in producing credible research and supporting informed decision-making across academic disciplines.

Building on the programme’s continued delivery, the second batch provided further opportunities for lecturers to develop their familiarity with research software and strengthen their understanding of systematic data analysis. The training emphasised effective data preparation, identifying patterns and trends, interpreting analytical results, and communicating research findings clearly.

A key focus of the initiative was strengthening academic staff’s confidence in selecting appropriate analytical approaches to investigate research questions. By promoting the effective use of digital research tools, the programme sought to enhance research accuracy, analytical thinking, and the quality of scholarly work.

The training also underscored the importance of continuous professional development in advancing institutional research capacity. Strengthening data analysis competencies can enable academics to undertake more rigorous investigations, contribute to interdisciplinary research, and generate evidence that informs educational practices and wider development priorities.

Through initiatives such as the Data Analysis Using R training, MNU continues to promote a research-oriented academic environment that values innovation, knowledge creation, and lifelong professional learning.

The programme aligns with broader priorities of quality education, digital literacy, research and innovation, technological capacity development, evidence-based decision-making, and lifelong learning. By investing in academic research competencies, the initiative supports MNU’s efforts to strengthen research excellence and contribute to sustainable, knowledge-driven development.