Fellowships
Trending

Seeding Africa is offering 250 Scholarship Opportunities for Women in AI and Data for Remote Certifications

Seeding Africa has launched a fully funded scholarship programme designed to support Nigerian women pursuing careers in artificial intelligence, data analytics, data engineering, data science, and machine learning.

As an official Coursera Social Impact Partner, Seeding Africa is offering 250 scholarship opportunities that provide remote access to globally recognised professional certifications through Coursera.

The programme is designed to increase access to digital and technical education for African women and strengthen participation in the growing global technology workforce.

About the Scholarship Programme

The Seeding Africa Scholarship Programme aims to equip women with industry-relevant technical skills and internationally recognised credentials in high-demand data and AI fields.

The initiative supports participants through:

  • Fully funded online learning pathways
  • Access to Coursera certification programmes
  • Professional mentorship and career guidance
  • Flexible remote learning opportunities
  • Career preparation and technical development support

All programmes are delivered entirely online, allowing participants to study remotely while balancing other academic or professional responsibilities.

Applications are reviewed on a rolling basis.

Programme Objectives

The scholarship programme focuses on empowering Nigerian women to build sustainable careers in technology and digital innovation.

Key objectives include:

  • Increasing women’s participation in AI and data-related fields
  • Providing access to high-quality digital education
  • Supporting career transitions into technology sectors
  • Strengthening technical and analytical capabilities
  • Promoting gender inclusion within the digital economy

The initiative reflects broader efforts to close gender gaps in technology and improve access to future-focused career opportunities.

Eligibility Criteria

Applicants must meet all mandatory eligibility requirements to be considered for the scholarship.

Eligible candidates must:

  • Be Nigerian citizens
  • Identify as female
  • Be graduates or final-year undergraduate students
  • Demonstrate interest in data and AI-related careers
  • Commit to completing the programme within 6–8 months
  • Be willing to dedicate approximately 15–20 hours per week to learning activities

The programme is specifically targeted at women interested in careers in:

  • Data Analytics
  • Data Science
  • Data Engineering
  • Machine Learning
  • Artificial Intelligence

Only applicants who fully satisfy the stated eligibility criteria will be considered during the selection process.

Learning Pathways and Training Areas

Participants can apply for specialised learning pathways aligned with emerging technology and digital skills sectors.

Potential focus areas include:

  • Data Analytics
  • Artificial Intelligence
  • Machine Learning
  • Data Engineering
  • Data Science
  • Spreadsheet and analytical tools
  • Technical problem-solving and digital literacy

Through Coursera’s professional learning environment, scholars gain access to globally recognised educational content and practical industry-focused training.

Programme Structure and Learning Experience

The programme is structured as an intensive online learning experience designed to be completed within six to eight months.

Participants are expected to:

  • Complete online coursework and assessments
  • Participate in technical learning activities
  • Engage with mentorship and career support initiatives
  • Build practical digital and analytical skills
  • Progress through structured learning pathways

Accepted scholars receive immediate access to their Coursera learning programmes after selection.

Mentorship and career support begin from the first day of participation.

Digital Readiness Requirements

Applicants are expected to demonstrate basic digital readiness and access to appropriate learning infrastructure.

Requirements include:

  • Regular access to a computer and internet connection
  • Computer specifications including:
    • Minimum 8GB RAM
    • Minimum 256GB SSD
    • Above 5th Generation processor

Applicants are also assessed on their confidence and familiarity with:

  • Computer use
  • Microsoft Excel or Google Sheets
  • Document editing tools
  • Internet browsing and file management

The programme seeks candidates who are prepared to successfully navigate a remote digital learning environment.

Application Requirements

Applicants are required to complete an online application form and upload supporting documents.

Required materials include:

  • Passport photograph
  • Valid form of identification
  • Curriculum Vitae (CV)
  • Educational details and qualifications
  • Responses to motivational and experience-based questions

Acceptable forms of identification include:

  • National ID
  • Passport
  • Driver’s License
  • Student ID
  • Citizenship certificate

Applicants are also required to answer essay-style questions addressing:

  • Interest in pursuing careers in AI or data
  • Long-term career goals
  • Personal experiences demonstrating resilience and commitment

These responses help assess motivation, determination, and programme fit.

Selection and Review Process

The scholarship selection process involves multiple stages designed to identify motivated and committed candidates.

The process includes:

  1. Submission of the online application
  2. Completion of an assessment sent via email
  3. Application and assessment review within approximately two weeks
  4. Shortlisting and notification of successful candidates
  5. Immediate access to Coursera learning programmes
  6. Onboarding into mentorship and career support activities

Applications are reviewed continuously on a rolling basis.

Benefits of the Scholarship Programme

Successful applicants receive access to a range of educational and professional development opportunities.

Benefits include:

  • Fully funded Coursera access
  • Globally recognised certifications
  • Remote and flexible learning opportunities
  • Professional mentorship and guidance
  • Career readiness support
  • Access to digital and AI-focused training pathways
  • Inclusion within a growing network of women in technology

The programme also strengthens employability and prepares participants for opportunities within the rapidly expanding digital economy.

Organisational Mission and Impact

Seeding Africa focuses on empowering African women through education, technology access, and professional development initiatives.

Through partnerships with organisations such as Coursera, the organisation aims to increase access to high-quality digital learning and create pathways into global technology careers for women across Africa.

The scholarship programme contributes to broader goals related to:

  • Digital inclusion
  • Gender equity in technology
  • Workforce development
  • AI and data literacy
  • Economic empowerment

Conclusion

The Seeding Africa Scholarship Programme provides an important opportunity for Nigerian women seeking careers in artificial intelligence, data science, and related technology sectors. Through fully funded online learning, mentorship, and globally recognised credentials, the programme equips participants with the technical and professional skills needed to thrive in the digital economy.

The initiative reflects a strong commitment to empowering women in technology and expanding access to future-oriented digital opportunities across Africa.

VISIT OFFICIAL WEBSITE TO APPLY

Join Our WhatsApp Community

Disclaimer: Remote Job Opportunities (RJO) is not the organization offering this opportunity. For any inquiries, please contact the responsible organization directly. Please do not send your applications to RJO, 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.

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button