Data Science Africa (DSA) is proud to announce the 2026 Summer School, a comprehensive three-day program designed to equip students and early-career researchers with both practical skills and theoretical knowledge in modern data science. This annual initiative provides a unique platform for emerging data scientists to gain hands-on experience and deepen their understanding of advanced concepts in a collaborative environment. The Summer School emphasizes applied learning, fostering a balance between core theory, practical exercises, and project-based learning. Participants will explore cutting-edge topics relevant to African and global contexts, ensuring they are well-prepared for future research, industry, and policy roles in data science. Core Topics Covered The 2026 Summer School curriculum includes a range of foundational and advanced subjects, ensuring participants acquire diverse skills applicable to real-world data challenges. Key topics include: Python for Data Science – Building programming proficiency for data analysis and scientific computing. Data Storytelling and Visualization – Techniques for effectively communicating insights from complex datasets. Machine Learning Fundamentals – Introduction to supervised, unsupervised, and reinforcement learning algorithms. Ethics and Responsible AI – Addressing fairness, accountability, and transparency in AI systems. Hands-On Projects – Working with real-world datasets to apply learned techniques. Agentic AI and Multi-Agent Systems – Exploring autonomous decision-making systems and collaborative AI agents. Multimodal AI and Large Language Models (LLMs) – Understanding AI that integrates multiple data types, including text, images, and audio. AI on the Edge and Resource-Constrained Environments – Techniques for deploying AI models in low-resource settings. Natural Language Processing (NLP) and African Language Models – Advancing AI solutions for regional languages and cultural contexts. Explainable AI and Model Interpretability – Ensuring machine learning models are understandable, interpretable, and trustworthy. Target Audience The program is designed for undergraduate students, graduate students, researchers, and professionals who are actively working with large-scale or unique datasets. A strong foundation in mathematics, statistics, computer science, engineering, or related fields is essential. By attending, participants will enhance both their technical competence and critical thinking in the field of data science. Application Process To join the Summer School, participants are required to register online and complete a short quiz tailored for beginners. The steps are as follows: Download the registration package and review the instructions carefully. Complete the exercises included in the zipped file. Submit the completed exercises by uploading the file through the registration portal. Attention to detail in following the instructions is crucial for successful application submission. Important Dates The application timeline for the 2026 Summer School is as follows: Application Opens: 26 January 2026 Application Deadline: 15 March 2026 Acceptance Notification: 31 March 2026 Applicants are encouraged to apply early due to the competitive nature of the program. Inquiries and Support For additional information or questions regarding the Summer School, participants can contact the organizing team at: Email: dsasummerschool@gmail.com The DSA team is available to provide guidance and support throughout the application process. About Data Science Africa (DSA) Data Science Africa is a pan-African initiative that promotes capacity building, research, and collaboration in data science across the continent. Through workshops, fellowships, and summer schools, DSA aims to develop a strong ecosystem of African data scientists capable of addressing regional and global challenges using data-driven solutions. Key DSA programs include: Research grants and fellowships Strategic partnerships with universities and research centers Capacity-strengthening workshops and events Summer schools and training programs DSA’s commitment to excellence ensures that participants gain practical skills, ethical awareness, and innovative thinking essential for careers in data science. Quick Links and Resources Participants and stakeholders can access additional resources on the DSA website: About DSA Research Grants Partnerships DSA Strategic Plans DSA Summer Schools DSA Workshops Capacity Strengthening Programs Fellowship Programs Affiliated Centres & Local Chapters Calendar of Events News and Media Hub VISIT OFFICIAL WEBSITE TO APPLY For more opportunities such as these please follow us on Facebook, Instagram , WhatsApp, Twitter, LinkedIn and Telegram Disclaimer: Global South Opportunities (GSO) is not the fellowship organization. For any inquiries, please contact the official organization directly. Please do not send your applications to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.