Computing & IS
Over 600 graduate from CoCIS during the Mak 74th Graduation ceremony
661 graduands from the College of Computing and Information Sciences (CoCIS) were on 31st January awarded degrees and diplomas in the different disciplines during the 3rd session of Mak 74th Graduation ceremony.
Of that total, 626 graduates walked away with undergraduate (Bachelors degrees), 32 with Masters Degrees, 2 with PhDs while 1 got a Post Graduate Diploma.
The five-day long graduation ceremony kicked off on the 29th of January 2024 – 2nd February 2024. During the course of the 74th graduation ceremony a total of 12,913 graduands received degrees and diplomas of Makerere University. Of these, a total of 132 graduands graduated with PhDs, 1585 with Masters degrees, 11,016 with Bachelor’s degrees, 156 with postgraduate diplomas, and 24 with undergraduate diplomas.
53% of the graduands were female and 47% were male. In the category of PhD graduands, 46 were female and 86 were male. In the category of students graduating with Master’s degrees, 699 were female and 886 were male.
The graduation ceremony was presided over by the Vice Chancellor Makerere University Prof. Barnabas Nawangwe. Nawangwe executed the role of Chancellor as provided for in the Universities and Other Tertiary Institutions Act following the expiry of the tenure of Prof. Ezra Suruma as Chancellor. The University Council commenced the search for his successor that was on-going.
CoCIS Commended for Noble Research in Artificial Intelligence to Solve Africa’s Problems
Reflecting on the May 2019 UNESCO conference on Artificial Intelligence and education in Beijing, China, the Vice Chancellor asserted the university’s potential and commitment to utilization of AI to make a difference for Africa.
Prof. Nawangwe reported that the University through the College of Computing and Information Sciences in collaboration with the School of Public Health received a grant funding worth US$1,500,000 (5.5bn/=) from Google to support its Ocular project that is undertaking research on usage of Artificial Intelligence to enhance the diagnosis process of Malaria, Tuberculosis and Cervical Cancer in Uganda.
Launched on 13th September 2023, the project team led by Dr. Rose Nakasi benched on the rampant challenges faced by the laboratory experts while undertaking diagnosis procedures. Health centres in Uganda are not only strained with the escalating number of patients seeking for laboratory screening tests – the country has few trained laboratory technicians to support the diagnosis process using the microscope.
The research team according to the Nawangwe took advantage of the existing technologies such as the smartphone and the availability of at least a microscope in every health centre across the country to develop a 3D printable adaptor that was attached to an eye piece of the microscope. The 3D adapter was also slotted in the smartphone to capture images.
With the capabilities of Artificial intelligence through computer vision, images can be processed and this directs the experts where the pathogens are. This technology shortens the diagnosis process making it more accurate, quicker and easier to diagnose health conditions and potentially reducing screening time by over 80%.
The Vice Chancellor also reported that in addition, researchers led by a second-year PhD student Paddy Junior Asiimwe designed a device to monitor elderly people with dementia and cognitive impairment in rural Uganda. The device, wearable by the elderly will monitor the patients’ movement and location and then signal the caretaker and the hospital in case of emergencies.
The technology funded by Government of Uganda through Mak-RIF was disclosed on 13th October, 2023. It monitors elderly people remotely using GPS technology which defines a safe zone around a user and a PDR system to monitor the position of the user within the safe zone. This technology is cheap, and better than the systems existing on market, and is best recommended for more resource constrained environments. The system operates independent of the user mostly in rural areas who cannot read and write. It does not require electricity and runs on batteries, charged once a week and can run for 30 days.
Prof. Nawangwe also highlighted how university researchers lead by Prof. Engineer Bainomugisha has invented devices geared towards monitoring and managing air quality across cities on the continent.
“The AirQo Project, in collaboration with various partners launched the CLEAN-Air Africa Network on 5th April 2023 bringing together communities of practice from over fifteen cities in Africa, with a focus on utilising low-cost sensors for air quality management in Africa.
Held under the theme: Championing Liveable Urban Environments through African Networks for Air, the workshop served as a Launchpad for Africa-led collaborations and multi-regional partnerships for sustained interventions to achieve cleaner air across the Continent”, Nawangwe appreciated.
Five get the Vice Chancellor’s Research Excellence Awards 2023
During this third session , the Vice Chancellor recognized the best researchers listed and published in the Graduation Booklet and the Mak News Magazine. The awards were based on Scopus database. The researchers were honored by the Vice Chancellor and Chairperson of Makerere University during the convocation luncheon held at Makerere University Convocation House.
CoCIS best researchers included.
- Prof. Bainomugisha Engineer
- Prof. Nabukenya Josephine
- Nabende Peter
- Professor Baguma Rehema
- Odongo Eyobu Steven
Prof. Nawangwe urged all staff to continue conducting research on national development priorities as well as matters of global interest and publishing their work in high-impact journals so as contribute to our drive to become a research-led university. He also advised on the need for the research to lead to patents, copyrights and trademarks, and tangible innovations in the form of products, policy briefs, manuals and others.
The Vice Chancellor highlighted a number of achievements recorded in the last two years including the timely issuance of the academic transcripts at the time of graduation.
In his key message to the graduands, Prof. Nawangwe described graduation as the most important and most memorable day in the life of any scholar on grounds that it is a licence to succeed in life, and a privilege to serve humanity.
“You have worked hard to get a degree or diploma from one of the best universities in the World. This is a license for you to succeed in whatever you choose to do in your life career. But always remember that success will only come with discipline and hard work, while honoring your parents and fearing God.
Shortly you will become an alumnus of this great institution. Cherish the knowledge and experiences you have collected while here, but remember that learning never ends. Our gates remain open for you if you wish to pursue higher degrees”, The professor advised.
With a degree from one of the best universities in the World, Prof. Nawangwe stressed, that graduates have no reason not to succeed in life.
“Indeed, the World is yours to conquer. If jobs are not forthcoming, create them, for we have empowered you not only to be employable, but also to be entrepreneurs. Be the light that others will follow. We are proud that we have been a part of your life, that we have given you the knowledge and courage to face life in this ever-changing World. Go out to the World and make it a better place”. He emphasized.
Please find these and more in the Vice Chancellors speech attached.
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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