The Public Investment Management (PIM) Centre of Excellence has commenced a three-day refresher training for members of the Development Committee (DC) of the Ministry of Finance, Planning and Economic Development. The training, which began today in Jinja, aims to enhance the analytical and technical skills of committee members who are tasked with reviewing government projects submitted by various Ministries, Departments, and Agencies (MDAs).
The training was today February 19, 2025, officially opened by Dr. Hennery Ssebukeera, who represented the Director of the Budget Directorate. In his opening remarks, Dr. Ssebukeera emphasized the importance of the refresher course in enabling the Development Committee to effectively conduct quality reviews and fulfill its mandate as a key gatekeeper of the Public Investment Plan. He noted that the training would improve the participants’ ability to appraise and implement public investments in line with the Public Investment Management System (PIMS) framework.
Prof. Ibrahim Mike Okumu, represented the Centre Director, Prof. Edward Bbaale.
Speaking at the same event, Prof. Ibrahim Mike Okumu, representing the Centre Director, Prof. Edward Bbaale, expressed the Centre’s gratitude for the opportunity to contribute to Uganda’s PIM cycle. He highlighted the importance of the training in harmonizing the relationship between the MDAs that draft project proposals and the analysts who review them. Prof. Okumu reiterated the Centre’s commitment to building the capacity of government officials in Public Investment Management, thereby supporting the country’s development aspirations.
The need for this training was identified during the Development Committee retreat held in 2024, which revealed limited capacity among DC members in project appraisal, specifically in reviewing prefeasibility and feasibility reports, Dr Ssebukeera noted. In response, the Ministry of Finance, Planning and Economic Development, in collaboration with the PIM Centre of Excellence, organized this refresher course to strengthen the participants’ technical and analytical skills.
Dr. John Sseruyange reacts during his remarks.
DC is a statutory committee of government that evaluates the viability of public investment projects. Its statutory composition includes: Office of the President, Office of the Prime Minister, Ministry of Finance, Planning and Economic Development, National Planning Authority, Public Procurement and Disposal of Public Assets Authority (PPDA), Office of the Solicitor General, Ministry of Gender Labour and Social Development, National Environment Management Authority, Equal Opportunities Commission, Ministry or Work and Transport, Ministry of Water and Environment, Public Private Partnership Unit. The PIM Center of Excellence was recently admitted to the Development Committee as a non-voting member.
The training will cover a wide range of topics, including the role of PIMS in the country’s development goals, the logical flow of project profiles, costing, and the interpretation of interconnections between prefeasibility/feasibility reports and financial models. Additionally, participants will explore the role of public-private partnerships in national development.
Dr. Ssebukeera encouraged participants to actively engage in discussions, share their expertise, and apply the knowledge gained from the training. He noted that this engagement would empower the Development Committee to effectively perform its role in reviewing and approving public investment projects, ensuring they align with national priorities and deliver value for money.
A section of participants follows proceedings.
The Public Investment Management Centre of Excellence, established by the Ministry of Finance, Planning and Economic Development in partnership with Makerere University School of Economics, continues to play a pivotal role in building the capacity of MDAs in managing public investments. To date, the Centre has trained over 300 officers and produced several research papers, reflecting its commitment to enhancing public investment management in Uganda.
The training in Jinja is expected to enhance the participants’ capacity to effectively review government projects, thus supporting the effective implementation of Uganda’s Public Investment Plan.
The Public Investment Management Center of Excellence (PIM CoE) was conceived as a result of the 2016 PIM Diagnostic study done by the World Bank and Ministry of Finance Planning and Economic Development with support from Makerere University School of Economics that discovered inefficiencies in PIM in Uganda.
This report highlights the work, achievements and prospects of the Center. The Center plans to start offering Advanced level training through Post Graduate Diploma (PGD) in PIM and Master of Science in Economic and Investment Modelling (MEIM). I am pleased to introduce this report to the public for use by all stakeholders.
I would like to appreciate PIM CoE Secretariat, partners, staff and well-wishers for technical support, daily running of the Center and their role in the realization of these achievements.
Special thanks go to Ministry of Finance, Planning and Economic Development, National Planning Authority, Cambridge Resources International (CRI) and Makerere University for the overwhelming support rendered towards the development of the Center.
Prof. Edward Bbaale Principal & Principal Investigator, CoBAMS/PIM CoE
Six Somali government officials have successfully completed a three-day Executive Training in Infrastructure Asset Management, held at Makerere University’s Public Investment Management Centre of Excellence (PIM CoE). The training, funded by the United Nations Capital Development Fund (UNCDF), took place from January 27 to 29, 2025, and aimed to enhance regional capacity in infrastructure planning and management.
The training brought together senior civil servants and policymakers from Somalia, equipping them with practical knowledge and strategies for sustainable infrastructure asset management. It also fostered valuable cross-border collaboration, facilitated by UNCDF Uganda, which played a crucial role in connecting Makerere University with the Government of Somalia.
The program was delivered by experienced faculty from Makerere University’s College of Business and Management Sciences (CoBAMS), alongside experts from the Ministry of Finance, Planning and Economic Development (MoFPED) and the Uganda National Roads Authority (UNRA). A special session was also led by the Makerere University Bursar, offering practical insights into financial management in infrastructure projects.
Speaking at the opening of the training, Mr. Ncube Mkhululi, the Regional Technical Advisor for UNCDF emphasized the importance of infrastructure asset management in driving sustainable economic growth. He highlighted UNCDF’s commitment to supporting capacity-building initiatives in developing economies, noting that effective infrastructure planning and management are critical to national development. He also expressed confidence in Makerere University’s expertise in delivering high-impact executive training programs for government officials.
During the closing ceremony, Prof. Bbaale Edward, the Principal of the College of Business and Management Sciences expressed gratitude to all partners, including UNCDF, Makerere University management, and the PIM CoE faculty, for their commitment to making the training a success. He emphasized Makerere University’s ongoing efforts to internationalize its research-led agenda, positioning itself as a hub for regional knowledge exchange.
UNCDF Program Manager, Mr. Joel Mundua, the commended the participants for their dedication and encouraged them to share the acquired knowledge with fellow officials in Somalia. This was reaffirmed by one of the participants, who pledged to apply and disseminate the learnings within their respective departments.
Mr. Sunday Denis Aliti, the Program Officer at UNCDF highlighted the importance of ensuring that infrastructure asset management strategies are practical, adaptable, and aligned with national development goals. He commended Makerere University for its leadership in knowledge transfer and regional training and encouraged continued collaboration between universities, governments, and international development partners to strengthen institutional capacity.
Dr. John Sseruyange, Manager of the PIM CoE, applauded both the participants and the expert trainers who contributed to the program. He reiterated the Centre’s commitment to advancing infrastructure asset management through continued training and collaboration with regional stakeholders.
As the training concluded, participants departed with valuable insights and practical tools to improve infrastructure management in Somalia and beyond. The success of this initiative highlights Makerere University’s role as a leading institution in public investment management, fostering capacity-building efforts that drive sustainable development across Africa.
The Statistics and Data Science (SDS) Working Group training kicked off on Monday, 20th January 2025, and will run until 24th January 2025. This training, an initiative by the college, aims to build capacity in Artificial Intelligence (AI) and Machine Learning (ML) among its members.
Participants are being equipped with a wide range of skills, covering topics such as text mining, unsupervised learning, neural networks, Geographic Information Systems (GIS), and more. The training is facilitated by expert data scientists from the Uganda Revenue Authority (URA), Housing Finance Bank, and the School of Statistics and Planning (SSP).
The SDS Working Group comprises academic staff at the School of Statistics and Planning (SSP) whose research interests focus on statistical learning and AI.
On January 21, 2025, Mr. Kiyingi Simon Peter and Mr. Tusubira Brian from URA led an engaging session on the practical applications of machine learning algorithms in day-to-day activities. They demonstrated how components fed into ML models are used to classify taxpayers into high-risk and low-risk categories, showcasing the transformative potential of AI in optimizing operations.
Dr. Margaret Banga, the Dean of the School of Statistics and Planning (SSP), emphasized the transformative impact of the training on both the academic and professional development of the participants. She commended the expert trainers from the Uganda Revenue Authority (URA) and other partnering institutions for their practical and insightful contributions to the sessions. Dr. Banga noted that the training is a significant step toward enhancing the teaching methodologies and research capabilities of the faculty. “By equipping our staff with advanced skills in Artificial Intelligence and Machine Learning, we are empowering them to deliver cutting-edge knowledge to our students and conduct impactful research that addresses real-world challenges,” she remarked.
The training is a testament to the SSP’s forward-thinking approach to education and research in statistics and data science. The integration of topics such as neural networks, text mining, and Geographic Information Systems (GIS) underscores the need for multidisciplinary expertise in an increasingly data-driven world. Dr. Banga highlighted that this capacity-building effort aligns with the college’s strategic objectives of fostering innovation and staying ahead in the rapidly evolving fields of data science and statistical learning.
The Dean further stressed the importance of partnerships with organizations like the Uganda Revenue Authority and Housing Finance Bank, which provide invaluable industry perspectives. These collaborations ensure that academic training is not only theoretical but also applicable to practical challenges in sectors such as taxation, finance, and public administration.
In conclusion, Dr. Banga reaffirmed her commitment to continuous learning and development within the School of Statistics and Planning. She expressed confidence that the knowledge gained through the training would translate into improved academic delivery, enriched research output, and a stronger contribution to societal and economic transformation through the application of advanced data science methodologies.