Computing & IS
Uganda Launches AI Health Lab at Makerere University
In a significant stride towards enhancing healthcare through technology, the Government of Uganda, in collaboration with Makerere University, has inaugurated the Artificial Intelligence Health Lab. This pioneering initiative aims to revolutionize healthcare delivery using artificial intelligence (AI), marking a crucial advancement for the nation. The lab is situated in Block B, College of Computing and Information Sciences
Launching the lab on 30th May 2024, the Permanent Secretary of the Ministry of ICT and National Guidance, Dr. Aminah Zawedde highlighted the importance of this development. “Today marks a momentous occasion as we unveil the Artificial Intelligence Health Lab at Makerere University. This milestone signifies not just a step forward for the university but for our entire nation as we enter an era of innovation and advancement in healthcare through artificial intelligence,” she remarked.
Dr. Zawedde emphasized the transformative power of AI in healthcare, noting its potential to revolutionize diagnostics, treatment plans, and personalized care. She acknowledged the government’s ongoing efforts to integrate AI into healthcare through initiatives like telemedicine platforms, health data analytics, and AI-driven solutions in medical imaging and drug discovery.
However, she stressed the need for ethical and responsible AI deployment, addressing algorithmic biases, patient privacy, and equitable distribution of AI benefits.
“The Ministry of ICT & National Guidance is committed to supporting AI adoption in healthcare through policy guidance, financial support, capacity building, and infrastructure development,” Dr. Zawedde stated. She called for collaboration among government agencies, academia, healthcare providers, and technology partners to advance AI initiatives responsibly.
Government Emphasizes Homegrown Solutions and Digital Priorities
Dr. Aminah Zawedde, highlighted the importance of prioritizing locally developed solutions to better understand and effectively address national challenges. She outlined five key priorities for Uganda’s digital transition, focusing on infrastructure, accessibility, digital services, cybersecurity, data protection, privacy, digital skilling, and innovation.
Regarding infrastructure and connectivity, the government aims to expand coverage to 70% of the country within the next five years, with ongoing projects supported by the World Bank and China. This initiative targets essential institutions like schools, hospitals, administrative offices, and innovation hubs.
Ensuring accessibility of gadgets, particularly smartphones, is another critical focus area. Recognizing the importance of these devices for accessing digital technologies and apps, efforts are underway to lower costs through measures such as tax waivers and local manufacturing.
Additionally, the government is prioritizing the transition of services online to enhance efficiency, transparency, accountability, and ease of doing business. This move aligns with existing regulations and guidelines for digital transformation, with an emphasis on overcoming implementation challenges related to financial resources, capacity, and awareness creation.
Cybersecurity, data protection, and privacy are also paramount, with plans to develop trusted systems to safeguard digital infrastructure and user information. Furthermore, digital skilling initiatives aim to equip end-users and office management with the necessary skills for effective digital operations.
Finally, the government emphasizes innovation and entrepreneurship, celebrating community-driven solutions that are sustainable, acceptable, and impactful. This focus underscores the commitment to fostering a thriving ecosystem of innovation that addresses the needs of Ugandan society.
Ministry of Health Highlights Urgent Need for AI in Ugandan Healthcare
Dr. Myers Lugemwa from the National Malaria Control Program presented a compelling case for the integration of artificial intelligence (AI) tools in Uganda’s healthcare system. Addressing the current health challenges and the potential of AI, Dr. Lugemwa underscored the transformative impact these technologies could have on disease diagnosis and management.
“Globally, low-income countries face a higher burden of communicable diseases such as malaria, tuberculosis, and HIV/AIDS,” Dr. Lugemwa noted. “Despite a significant global decline in these diseases, they remain prevalent in countries like Uganda, where communicable diseases account for over 50% of morbidity and mortality.”
Malaria diagnostics primarily rely on tools like mRDTs, blood slide microscopy, and PCR tests, which are either expensive or not widely available. Similar challenges exist for other diseases such as cancer, tuberculosis, HIV/AIDS, and intestinal parasites, which are diagnosed through methods that may not be accessible at lower-level health centers.
Dr. Lugemwa highlighted the promise of Makerere University’s AI Health-Lab in addressing these diagnostic challenges. “AI tools could revolutionize the accuracy and accessibility of disease diagnosis,” he said. “From improving malaria diagnostics to streamlining cancer screening and diagnosis, AI has the potential to transform healthcare delivery in Uganda.”
Furthermore, Dr. Lugemwa discussed the role of AI in predicting disease patterns affected by climate change, such as malaria, and the importance of electronic health records (EHRs) in improving patient management and healthcare delivery.
“In summary, AI Health-Lab is poised to be a game-changer for Uganda’s healthcare system,” Dr. Lugemwa emphasized. “It aligns with Makerere University’s mission to ‘Build For the Future’ and addresses the Alma-Ata Declaration’s call for local tools that are readily available, accessible, affordable, and user-friendly. The integration of AI in healthcare is not just a technological advancement but a critical necessity for improving health outcomes in Uganda.” Lugema stressed
Makerere University’s Role
Representing Makerere University’s Vice Chancellor, Prof. Edward Bbaale, Director of the Directorate of Graduate Research and Training, expressed pride in the university’s achievements. He underscored Makerere’s proactive steps in promoting AI, including establishing dedicated AI labs, integrating AI courses into the curriculum, and fostering partnerships.
“The establishment of the AI Health Lab is the culmination of a vision that aligns with Makerere University’s mission to be a thought leader in research, innovation, and academic excellence,” Prof. Bbaale stated. He highlighted the lab’s role in fostering interdisciplinary collaboration and innovation, with potential applications ranging from predictive models for disease outbreaks to personalized treatment plans.
Prof. Bbaale also lauded groundbreaking projects spearheaded by Makerere University’s College of Computing and Information Sciences. These include the AirQo project, which deploys low-cost air monitoring systems, and AI-based tools for agricultural disease tracking and medical diagnostics. Notably, the AI Lab, under Dr. Rose Nakasi’s leadership, secured a $1.5 million grant from Google for the Ocular project, automating diagnoses for Malaria, Tuberculosis, and Cervical Cancer.
To the students and researchers, Prof. Bbaale urged them to seize the opportunities presented by the AI Health Lab. “This lab is not just a facility; it is a beacon of possibilities. Engage deeply with the work, collaborate across disciplines, and be bold in your pursuit of solutions that can change the world,” he encouraged.
He also outlined the university’s commitment to moving the entire research value chain from conceptualization to commercialization, ensuring that research translates into products and services that benefit communities.
The launch of the AI Health Lab at Makerere University signifies a significant leap forward in Uganda’s healthcare sector. With continued support and collaboration, this initiative promises to harness the power of AI to improve health outcomes, making a tangible difference in the lives of many. As Dr. Zawedde concluded, “Let us embark on this journey with optimism and determination, knowing that our efforts today will shape the future of healthcare for generations to come.”Bbaale added
Makerere University’s AI Lab Announces Ambitious Plans for Healthcare Innovation
Makerere University’s AI Lab is embarking on an ambitious journey to revolutionize healthcare through advanced artificial intelligence (AI) technologies. Dr. Rose Nakasi, the project leader, unveiled the lab’s comprehensive strategy aimed at addressing critical health challenges and improving patient outcomes through innovative AI solutions and interdisciplinary collaboration.
In her presentation, Dr. Nakasi emphasized the lab’s vision of “Transforming Healthcare Through Innovative AI Solutions” and its mission “To drive innovation in artificial intelligence research to effectively address and overcome pressing health challenges.” The lab’s approach focuses on developing practical AI applications, fostering interdisciplinary collaboration, and deepening the understanding of AI’s transformative potential through rigorous research and evaluation.
Among the key projects highlighted by Dr. Nakasi is the Ocular Project, a decision support tool designed to reduce diagnosis time and improve accuracy. Supported by a recent $1.5 million grant from Google, this project aims to automate diagnoses for diseases such as Malaria, Tuberculosis, and Cervical Cancer. Additionally, the DS Malaria project focuses on in-field automated screening trials to enhance malaria diagnosis, while initiatives like curating datasets for malaria diagnostics and digital Pap smear images aim to improve the accuracy and efficiency of disease screening.
Looking ahead, Dr. Nakasi outlined the lab’s vision for continued innovation and growth, including addressing challenges in the health sector and collaborating with regulators to refine and develop new approaches for healthcare needs. She highlighted the lab’s commitment to nurturing the next generation of AI and healthcare experts, with a growing team of PhD and master’s students.
“With more innovation and focus, we aim to address the most pressing healthcare challenges and make a lasting impact on our communities,” Dr. Nakasi stated. Makerere University’s AI Lab, under her leadership, is poised to lead the way in integrating AI into healthcare, reflecting a strong commitment to leveraging technology for the betterment of society.
The opening ceremony was marked by a congratulatory address from the Principal College of Computing and Information Sciences Prof. Tonny Oyana, who lauded Dr. Rose Nakasi and her team for their exemplary research stewardship.
Oyana said the inauguration of this facility marks a significant step forward in the college’s commitment to advancing research and development in artificial intelligence, ensuring that it remains at the forefront of technological innovation
“Congratulations to Dr. Rose Nakasi and her team for their excellent research stewardship,” Prof. Oyana stated. He emphasized the lab’s potential to serve as a dynamic environment for academic growth and experimentation. “Use the new lab to learn, test, grow, and nurture academic talent,” he urged the attendees.
Prof. Oyana also highlighted the lab’s role in promoting interdisciplinary activities. “Use the lab to carry out synergistic activities that promote AI in health,” he said, stressing the importance of integrating artificial intelligence with healthcare advancements.
The facility is expected to become a cornerstone for building sustainable academic and professional relationships. “Use the lab to grow enduring pipelines and long-lasting academic activities and friendships among students and scientists,” Prof. Oyana added.
The new AI research lab, equipped with state-of-the-art technology, aims to provide greater hope and opportunities for students and scientists. “Today, we open a new facility that will provide greater hope and opportunities for our students and scientists,” Prof. Oyana concluded.
Sunbird AI Highlights Potential and Pitfalls of AI for Social Good
Prof. John Quinn from Sunbird AI delivered insightful remarks on the application of artificial intelligence (AI) for social good, emphasizing both its potential benefits and the challenges that need to be addressed.
Prof. Quinn outlined several key areas where AI can have a substantial impact. He noted that AI can compensate for the scarcity of experts by providing critical support in fields such as healthcare and education. AI can also enhance data collection and analysis, aiding in better decision-making and resource allocation. Additionally, AI can be used to create detailed maps, aiding urban planning and noise pollution monitoring.
However, Prof. Quinn also highlighted various challenges and unintended consequences associated with AI deployment. He discussed the unexpected difficulties in implementing AI solutions, including technical and human factors.
Technical challenges include limitations of power, network, and devices, which may hinder the deployment of advanced AI technologies in many regions. Furthermore, comprehensive end-to-end solutions might be required, which can be complex and resource-intensive. The lifespan of AI projects can often outlast the typical lifespan of startups or academic projects, posing sustainability challenges. Ensuring long-term functionality and support for AI systems is crucial.
Human factors also play a significant role in the challenges faced by AI deployment. Identifying the right problem from a distance can be challenging, necessitating local insights and collaboration. Successful AI projects often require significant organizational effort beyond the technical work. Building and maintaining trust among various stakeholders is essential for effective collaboration.
Prof. Quinn also addressed the unintended consequences of AI implementation. He pointed out that AI systems can perpetuate or even exacerbate existing biases if not carefully designed and monitored. Without equitable access to AI technologies, existing inequalities can be deepened. Relying on new technologies can create vulnerabilities if the infrastructure is not robust. An excessive focus on prototyping, referred to as “pilotitis,” can consume resources without leading to scalable solutions. The introduction of AI technologies often brings new ethical dilemmas that need to be addressed. Additionally, issues with the quality and representativeness of training data can lead to inaccurate or biased AI models.
Prof. Quinn’s remarks underscored the dual-edged nature of AI in social applications. While AI has the potential to address significant challenges and improve lives, it also brings technical, organizational, and ethical challenges that must be navigated carefully. As AI continues to evolve, stakeholders must work collaboratively to harness its benefits while mitigating its risks.
Testimonials Highlight the Impact of AI in Healthcare Diagnostics
Alfred Andama, reflecting on the journey from 2014 to 2024, shared compelling testimonies from Mulago Hospital, Makerere University College of Health Sciences (MakCHS), and other lower health facilities regarding the integration of artificial intelligence (AI) in healthcare diagnostics.
He said Initial Target Diseases primarily centered on malaria, tuberculosis, and intestinal parasites. During data collection at various labs, Andama and his team encountered enthusiastic groups of lab practitioners eager to embrace AI for improving diagnosis.
At health centers up to level III, where young lab technicians and technologists were predominant, the prospect of using mobile applications for diagnosis elicited genuine excitement.
Andama confirmed the feasibility of utilizing smartphones at the lowest levels for diagnosis, addressing a crucial question raised by stakeholders.
“Clinicians expressed interest in the reliability and accuracy of AI-driven diagnosis tools. They sought clarity on decision-making processes compared to human judgments.
Health administrators were concerned about personnel shortages and how AI could alleviate the burden. The adoption of AI microscopy could potentially reduce the time spent on malaria smear microscopy by 25%.” Said Andama
Policy-makers according to Andama focused on affordability and feasibility, particularly for rural areas. The adaptability of AI tools to existing smartphone and microscope infrastructure was seen as a promising solution.
The discussion he said, expanded to the potential deployment of AI in sickle cell diagnosis, blood cancers, urinary tract infections, and respiratory disease smears, indicating broader applications beyond the initial scope.
He reported that Mulago hospital under the College of Health Sciences is already utilizing AI in various capacities, such as analyzing cough samples to differentiate between tuberculosis patients and those with normal cough.
Andama’s testimonies underscore the growing acceptance and implementation of AI in healthcare diagnostics, promising improved efficiency and accuracy in disease detection and treatment.
The inauguration was highlighted by panel discussions and plenary sessions on “Leveraging AI for a Healthier Future: Practical Solutions for Africa.” Notable speakers included Prof. Micheal Kawooya, Director of ECUREI; Assoc. Prof. Engineer Bainomugisha, Head of the Department of Computer Science at Makerere University; Mr. Sumba Solomon from the Ocular Project; Ms. Sylivia Nabukenya from the Infectious Disease Institute at Makerere University, Dr. Joyce Nakatumba Nabende of the AI Research Lab; and Lwasa Baker from Rocket Health.
Makerere University has called for increased investment in artificial intelligence (AI) and data science, warning that Africa risks being left behind in the rapidly evolving global digital economy if governments and the private sector fail to prioritize the emerging technologies.
The call was made by Makerere University Vice Chancellor, Prof. Barnabas Nawangwe, while officially opening the 14th Data Science Africa (DSA) Summer School and Workshop at the university’s Main Hall on Thursday.
The week-long event, held from July 20–24 under the College of Computing and Information Sciences (CoCIS), attracted students, researchers and professionals from across Africa and beyond. The gathering is being held under the theme, “Foundational and Practical Data Science in the Age of Generative AI.”
Prof. Nawangwe said although data has become one of the world’s most valuable resources, Africa has yet to fully appreciate its economic significance.
“I keep hearing that data is the next oil, but apparently it is already the current oil,” he said, adding that governments must be persuaded to invest more in data infrastructure, including modern data centres.
He noted that while global technology companies are investing hundreds of billions of dollars in AI, Africa remains a marginal player despite possessing the intellectual capacity to develop home-grown solutions.
Rather than attempting to compete directly with technology giants, Prof. Nawangwe urged African researchers to develop AI systems tailored to solving the continent’s unique challenges in healthcare, agriculture, education, climate resilience, governance and urban development.
“We need AI that understands Africa,” he said.
The Vice Chancellor commended Data Science Africa for nurturing a new generation of African data scientists through practical training, mentorship and collaborative research since its inception.
He also highlighted Makerere University’s investments in AI research through initiatives such as the Makerere AI Centre, AI Health Lab and other research collaborations, saying the university has continued to align its computer science programmes with emerging technologies since 2009.
Prof. Nawangwe, however, observed that Africa’s research capacity remains inadequate, stressing the need to significantly increase the number of PhD graduates to drive scientific innovation and economic transformation.
He praised CoCIS researchers, particularly Prof. Engineer Bainomugisha, for leading high-impact projects such as the AirQo initiative, which monitors air quality in more than 15 African countries.
Describing Data Science Africa as a strategic partner, Prof. Nawangwe said the annual gathering strengthens continental collaboration, mentorship and research networks essential for Africa’s technological advancement.
“We have the intellectual capacity. What is lacking is the will to invest heavily in AI,” he said.
Principal Oyana Warns on AI Risks, Urges Africa to Invest in Technology
Earlier, the Principal of the College of Computing and Information Sciences, Prof. Tony Oyana, cautioned that while artificial intelligence presents enormous opportunities, it also poses significant risks if developed without adequate ethical safeguards.
Referring to recent reports about an advanced AI system reportedly operating beyond its intended controls during testing, Prof. Oyana said the incident underscored the importance of responsible AI development.
“The world is creating a monster, and we must be ethical about that monster because it may destroy our own existence,” he said.
Prof. Oyana also expressed concern over the widening technology investment gap between Africa and developed economies.
He cited reports indicating that major technology companies in the United States have committed approximately US$700 billion to technology investments, while Africa continues to invest largely in traditional sectors such as oil and gas.
He challenged African billionaires and governments to redirect more capital towards technology, innovation and data science.
“We want our wealthy investors to put their money into technology so that Africa can also participate in this digital economy,” he said.
DSA Board Chair Praises Makerere’s Leadership in AI Research
Data Science Africa Board Chair, Cira Maina, commended Makerere University for establishing itself as one of Africa’s leading centres for artificial intelligence research and innovation.
He said the university’s numerous AI laboratories and research projects have become a source of inspiration for institutions across the continent.
“Makerere is showing us how to do AI properly. The labs and projects here are inspiring institutions across Africa,” Maina said.
Maina noted that researchers, including those at her institution in Kenya, have drawn lessons from Makerere’s research ecosystem and expressed confidence that participants attending the summer school would return to their respective countries motivated to strengthen AI research and innovation.
Maina also applauded the organising committee, led by Prof. Engineer Bainomugisha, together with programme chairs, sponsors and the wider Data Science Africa community for successfully organising the continental event.
African Researchers Must Lead Development of AI for Local Languages, Says Sunbird AI Founder
The founder of Sunbird AI, Dr. John Quinn, has challenged African researchers to take the lead in developing artificial intelligence (AI) models for indigenous languages, arguing that global technology companies are unlikely to adequately address the continent’s linguistic diversity.
Delivering the keynote address, Quinn said Africa possesses both the expertise and opportunity to build world-class language models capable of serving local communities.
“The frontier of African language models is not in OpenAI or Anthropic. It’s here, among us,” Quinn told participants. “We can do it, and we have to do it because no one else is going to.”
Quinn said Africa’s more than 2,000 languages represent not only cultural heritage but also economic opportunities whose full potential remains untapped because of language barriers.
He noted that despite massive global investments in artificial intelligence, only a fraction targets African languages and local challenges.
“Everyone is talking about AI and large language models, but African languages receive only a very small slice of global investment,” he said.
According to Quinn, reducing language barriers through AI could improve access to government services, healthcare, education and cross-border business opportunities across the continent.
Sunbird AI Unveils New Multilingual Language Models
Quinn announced the release of a new generation of Sunbird AI’s “Sunflower” language models capable of understanding and generating text in 67 major African languages, including 31 Ugandan languages. The models, range from lightweight versions that can run on smartphones to larger versions designed for desktop computers.
He also revealed speech recognition models supporting 51 African languages, describing the development as a major step toward making AI accessible to communities that primarily communicate through speech rather than text.
Quinn said earlier versions of the models had already demonstrated superior performance over some leading global AI systems in several African language translation tasks.
Using Acholi as an example, he illustrated how locally developed AI models outperformed international systems when responding to practical questions and translating indigenous languages.
“Our objective is not simply to build translation tools, but language models that understand African languages well enough to answer questions, solve problems and support local innovation,” he said.
Researchers Urged to Build Local AI Solutions
Quinn encouraged African universities and researchers to contribute data, improve language resources and refine AI models rather than waiting for multinational technology firms to prioritise African languages.
He explained that successful language models depend largely on the availability of quality training data, including books, newspapers, dictionaries and other written materials in local languages.
“The amount of language data is the biggest determinant of how good these models become,” he said.
He outlined the three major stages involved in building advanced language models;- pre-training, supervised fine-tuning and reinforcement learning describing them as processes through which AI systems learn language patterns, follow instructions accurately and improve responses over time.
Quinn noted that local researchers are better positioned to understand linguistic nuances, cultural contexts and translation challenges than developers working outside the continent.
“There is a reason these models get things wrong when they are developed thousands of miles away. The people in this room understand these languages and their cultural context better than anyone else,” he said.
Speech Technology Identified as Next Frontier
Quinn said speech technology represents the next major frontier for artificial intelligence in Africa because many indigenous languages are predominantly spoken rather than written.
He urged researchers attending the workshop to experiment with the newly released models, provide feedback and collaborate in expanding AI capabilities across more African languages.
“The opportunity is much closer than many people think,” Quinn said. “Reaching the frontier of AI for African languages is achievable if we work together.”
Data Science Africa 2026 Equips Researchers to Build AI Solutions for Africa
The Organising Chair of the 14th Data Science Africa (DSA) Summer School and Workshop, Prof. Engineer Bainomugisha, said this year’s programme was designed to equip students, researchers and professionals with the knowledge and practical skills needed to develop data science and artificial intelligence (AI) solutions for Africa’s pressing challenges.
Bainomugisha said the week-long programme combines intensive training with research exchange under the theme, “Foundational and Practical Data Science in the Age of Generative AI.”
According to Bainomugisha, the event was divided into two segments;-a three-day Summer School held from July 20 to 22 and a two-day Workshop running from July 23 to 24.
Summer School Focuses on Practical AI Skills
Bainomugisha said the Summer School was designed for undergraduate and postgraduate students, researchers and professionals working with large-scale or specialised datasets, particularly those with backgrounds in mathematics, statistics, computer science, engineering and related disciplines.
He explained that the training introduced participants to both foundational and advanced data science concepts through lectures and practical sessions.
“The Summer School equips participants with practical and theoretical foundations in modern data science, ranging from Python basics to advanced Generative AI,” Bainomugisha said.
He said the curriculum covered Python for data science, data storytelling and visualisation, machine learning fundamentals, ethics and responsible AI, hands-on projects using real-world datasets, agentic AI and multi-agent systems, multimodal AI and large language models, AI for resource-constrained environments, natural language processing and African language models, as well as explainable AI and model interpretability.
Workshop Highlights African AI Research
Bainomugisha said the Workshop was intended to explore how foundational data science, machine learning and generative AI techniques can be combined to develop scalable solutions for challenges facing the African continent.
He noted that researchers presented work focusing on applications of AI and data science in healthcare, agriculture, climate resilience, education, environmental management and finance.
According to Bainomugisha, discussions also addressed ethical AI, cybersecurity and data governance to ensure emerging technologies are developed and deployed responsibly.
“The workshop provides a platform for researchers and practitioners to share innovations that respond to African priorities while strengthening collaboration across the continent,” he said.
Bainomugisha said the conference received submissions in the form of research papers, industry experience papers and work-in-progress presentations.
He added that although the programme was organised around six thematic areas namely foundational data science and machine learning, generative AI and African language models, AI applications, AI in education and finance, ethical AI and cybersecurity, and data governance, the organisers also encouraged high-quality submissions addressing other issues aligned with the conference theme.
He said bringing together researchers, students, innovators and industry practitioners creates opportunities for collaboration and knowledge sharing that will contribute to advancing Africa’s AI and data science ecosystem.
The Data Science Africa Summer School and Workshop is one of Africa’s leading annual platforms for capacity building, research dissemination and collaboration in artificial intelligence, machine learning and data science.
Jane Anyango is the Principal Communication Officer CoCIS
Photo credits: Peninah Nalubega – 4th year Journalism and Communication student.
Makerere University College of Computing and Information Sciences (CoCIS) is the main ICT Training, Research and Consultancy Centre in Makerere University. The College has six Academic departments comprising of the Department of Computer Science, Department of Networks, Department of Information Technology, Department of Information Systems, Department of Library and Information Sciences, and the Department of Records and Archives management.
In addition to the mainstream degree programmes, CoCIS has a specialized Center for Innovations and Professional Skills Development (CIPSD) which delivers state-of-art training in ICT e.g. the Cisco Networking Academy for Cisco related courses, the Microsoft IT Academy Program for Microsoft related courses, International Computer Driving License course, Oracle Certified Training center for Oracle, Linux and Unix Training center. CIPSD also offers Machine Learning, Big Data Analytics, Data Science, Artificial Intelligence (AI) and Ethical Hacking as online courses. The College is an authorized Testing center, operating under PearsonVUE and Kryterion. Listed in the table (see downloads below) are the courses currently offered at the Center with their next start dates, duration, and cost.
- All courses are at affordable fees catering for Students, Vacists, Professionals and
- Anyone who wants to start a career in ICT or polish his/her ICT skills.
Register here: https://forms.gle/eTVwcAfBGXaVLL9b7
Contact Information
E-mail: psd.cis@mak.ac.ug
Tel: +256 752 779964 | +256 701 806656 | +256 752 373023
URL: https://cocis.mak.ac.ug/cipsd/
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