Mozambique’s STEM Revolution: Unlocking Potential through Computational Mathematics at UniRovuma
The pulse of innovation is much alive in northern Mozambique at the University of Rovuma (UniRovuma) in Nampula Province as witnessed recently, by a team from the International Centre of Insect Physiology and Ecology (icipe) who visited the institution as part of the Improvement for Skills Development in Mozambique (MozSkills) project monitoring and evaluation.
Through a 2021 agreement, the Government of Mozambique, with support from the World Bank, committed USD 6 million to the icipe-managed Partnership for skills in Applied Sciences, Engineering and Technology – Regional Scholarship and Innovation Fund (PASET-Rsif). The investment is fuelling 40 PhD scholarships and 14 homegrown research and innovation projects.
Research solving real world problems
One standout is UniRovuma’s leap into computational mathematics laboratory — training lecturers and students in modern tools like Python, mathematical modeling, and applied statistics. This room buzzing with the click of keyboards and the language of Python code is bridging the gap between traditional math education and the digital demands of today’s STEM fields, equipping graduates to solve real-world problems in industry and public service. This laboratory is now buzzing with the click of keyboards and the language of Python code.
An interview with Dr Elisa da Conceição José Maria, the project lead at UniRovuma revealed that the innitiative arose from the need to strengthen practical and digital skills among lecturers and students, which were still limited and hindered the university’s ability to effectively contribute to research and development in STEM areas.
“The reliance on exclusively theoretical methods without computational tools left students insufficiently prepared to face technical challenges. Mozambique and the region urgently need data-driven approaches to tackle issues such as climate change, food security, and public health—making this project essential,” Dr Elisa stated.
She pointed out that originally, the UniRovuma emerged from the division of the former Universidade Pedagógica—a national university mainly focused on teacher training. After its division into five regional institutions, UniRovuma began serving the northern region of Mozambique and expanded its scope beyond education to include technical fields and STEM courses. However, this restructuring was not accompanied by the redistribution of laboratory resources or the creation of new infrastructure. The introduction of new programmes required lecturers to be trained in technical and computational content. The lack of adequate resources and the need to adapt to the new institutional model motivated the launch of this project.
PASET-Rsif/MozSkills support
The leap into computational mathematics at the UnRovuma has been made possible through PASET-Rsif/MozSkills support. With Rsif funding, the university established a fully equipped computational mathematics laboratory, complete with 18 computers, creating a dedicated space where students and lecturers can explore programming, mathematical modeling, and applied statistics in practice. It also has a smartboard, internet access, and teaching materials. Besides, it supported the training of 15 lecturers and more than 503 students in Python programming and mathematical modeling. It also facilitated the development of applied projects that connect mathematical theory to real-world challenges, the drafting of scientific articles, and funding for their publication. Based on the skills acquired by lecturers and students, a practical initiative was launched with a focus on activities, research, and outreach in computational mathematics, leveraging all the human and material resources created through the laboratory’s implementation.
Sustainability of the project
What sets Rsif’s support apart, according to Dr Elisa and her team members, is its flexibility and clear alignment with the institution’s strategic goals. Beyond funding, the programme is designed with sustainability in mind — ensuring that the skills, infrastructure, and research capacity being built today will continue to serve Mozambique’s development long after the project ends. This is unlike short-term interventions since Rsif funding enables long-term capacity building, including the training of local experts, support for gender inclusion, promotion of innovation in the national education system, and provision of essential materials for research. Moreover, it encourages scientific production through support for article publication.
The project is tackling long-standing gaps in mathematics education at UniRovuma. Dr Elisa states that until recently, programming had little presence in the curriculum, and many researchers relied heavily on commercial software such as SPSS, which limited flexibility and innovation. By introducing open-source tools and strengthening skills in mathematical modeling, the programme is equipping students and faculty with the versatility and analytical depth needed for modern STEM research and problem-solving. “It also addresses the disconnect between mathematics curricula and practical applications, especially in data analysis, geospatial computing, and predictive modeling. Key focuses include training lecturers in STEM methodologies, promoting real-world problem-solving, and preparing students for the job market,” she elaborates.
Translating theory into practice
Key technological solutions being developed include the integration of Python into the undergraduate curriculum, development of local training modules in computational modeling, and applied research projects using techniques such as time series analysis (ARIMA/SARIMA) and geospatial risk mapping. “One highlight is the mathematical modeling of environmental phenomena. These approaches help translate mathematical theory into tools for solving practical problems,” Dr Elisa says.
Through a series of intensive training programmes, the initiative has strengthened the skills of both students and lecturers, equipping them with practical expertise in Python, data science, and mathematical modeling. Participants have also gained training in scientific article writing — a skill that not only supports academic success but also enhances their ability to share research findings with the wider scientific community. Dr Elisa highlighted that it has also promoted the leadership of female instructors and encouraged interdisciplinary research.
“Over 500 students have been trained, many of whom are now engaged in applied research and pursuing advanced studies. They are also using the skills they’ve learned to prepare their final year theses,” she revealed.
Collaboration and partnerships
Collaboration lies at the heart of the project, bringing together national, regional, and international partners to amplify its impact. The University of Porto,in Portugal for instance, trained the first cohort of lecturers in Python, providing a strong foundation for the computational mathematics programme. Locally, partnerships with institutions such as the Nampula Municipal Council and other universities in Nampula ensure the work remains closely tied to community needs and supports practical, real-world applications of the skills being developed. These collaborations increase the relevance of research, provide mentorship, and support the implementation of applied studies in real contexts. For some scientific papers, we also collaborate with researchers from local universities.
The project is closely aligned with Mozambique’s national development priorities of improving education quality, promoting scientific research, and developing digital skills and the new African Union’s Science, Technology and Innovation Strategy (STISA) 2034 pillars by contributing to knowledge production, technological innovation, and solutions to socioeconomic challenges through STEM education and applied mathematics.
The advances in computational mathematics through this project have far-reaching benefits across multiple real-world sectors, including agriculture—where it supports forecasting of prices and seasonal patterns; health—by enabling analysis of factors affecting maternal and child well-being; environment—through geospatial modeling of erosion risks and climate data; and education, where it strengthens the STEM curriculum and prepares the next generation of educators with vital computational skills.
Beyond mathematics, this project provides evidence-based tools and data analysis to support decision-making in municipal planning, agricultural policy, public health interventions, and educational reform. By training local researchers, it ensures sustainability and fosters innovation tailored to community needs.
Significant milestones
Since its inception, the project has already marked significant milestones including:Training of 15 lecturers and over 503 students in Python and modeling, implementation of applied research projects, establishment of a computational mathematics laboratory and iInclusive training structure with attention to gender.
Looking ahead, the team plans to expand training opportunities to postgraduate students, publish research findings and develop a postgraduate curriculum in computational mathematics.
In five years, the project envisions becoming a leading national and regional hub for computational mathematics—recognized for its innovative STEM education, robust regional partnerships, and impactful contributions to public policies in agriculture, health, and environmental planning. Success will be measured not only by academic achievements and research publications but also by the tangible ways the programme empowers communities and drives sustainable development across Mozambique and beyond.