Applications are now open for the LIDAR Africa Fellowship 2026, a prestigious training programme designed to equip African learners and professionals with advanced skills in data analytics, machine learning, scientific research, and responsible data governance.
The fellowship combines theoretical knowledge with hands-on experience, preparing participants to succeed in today’s data-driven world. It is an excellent opportunity for individuals looking to build careers through data science training and gain practical exposure to real-world challenges.
The programme focuses on bridging the gap between classroom learning and industry application, enabling fellows to contribute meaningfully to Africa’s growing technology and data ecosystem.
Scholarship Support and Funding
The LIDAR Africa Fellowship 2026 provides significant financial support to participants. The programme invests up to $1,000,000 annually in scholarships to support training and mentorship across Africa.
A total of $250,000 is allocated quarterly to support fellows. Scholarships are awarded based on performance, analytical ability, and commitment to the programme. This ensures that highly motivated individuals benefit from the fellowship while maintaining a competitive and merit-based selection process.
Programme Structure
The fellowship follows a structured approach that emphasizes practical engagement and continuous assessment. Participants develop strong analytical and problem-solving skills through real-world projects.
Fellows also gain proficiency in modern tools and techniques relevant to their chosen field. The programme encourages discipline, collaboration, and consistency, which are essential for success in AI training programs and data-focused careers.
Soft skills such as teamwork and communication are also emphasized to ensure participants are well-rounded professionals.
Fellowship Tracks
The programme offers multiple specialized tracks tailored to different career paths.
Participants interested in data analytics courses can choose Business Data Analytics, which includes tools like Microsoft Excel, Power BI, and SQL.
For research-focused individuals, the Scientific and Research Data Analytics track includes IBM SPSS, Stata, and R.
Those pursuing a machine learning fellowship experience can select the Data Science and Machine Learning track, which focuses on Python, R, and advanced modeling techniques.
Additional tracks include AI Engineering and Deployment, as well as Data Protection and Governance. These options allow participants to align the programme with their career goals.
Application Requirements
Applicants are required to provide accurate personal and professional information during the application process. This includes full name, email address, phone number with country code, country of residence, education level or professional background, preferred fellowship track, and how they learned about the programme.
Candidates are advised not to share sensitive information such as passwords and should ensure all details are correctly filled.
Benefits of the Fellowship
Participants in the LIDAR Africa Fellowship 2026 will gain access to financial support, hands-on technical training, and mentorship from experienced professionals.
The programme prepares fellows for careers in data science, machine learning, and research. It also offers valuable networking opportunities with peers and industry experts across Africa.
In addition, participants receive training in ethical data practices, ensuring they understand responsible AI development and data governance.
Key Considerations
Applicants must provide accurate contact information to remain eligible. Commitment to the programme structure is essential, as the fellowship requires active participation and consistent performance.
Fellows are expected to demonstrate strong analytical thinking and problem-solving skills throughout the programme.
How to Apply
Interested candidates should apply through the official application portal.
