Are you passionate about data, technology, and problem-solving? Do you want to gain hands-on experience and industry-relevant skills in one of the fastest-growing fields in the world? Then here’s your golden chance! The Click-On-Kaduna Data Science Fellowship Programme 2025 is officially open for applications and this could be the game-changing opportunity you’ve been waiting for.
In this blog post, you’ll find everything you need to know about the Click-On-Kaduna Data Science Fellowship Programme, including who can apply, what’s in it for you, and exactly how to submit your application step-by-step.
Table of Contents
About Click-On-Kaduna Data Science Fellowship Programme
The Data Science Fellowship Program is part of the Kaduna State’s Data Revolution Plan aimed at strengthening the coordination in the collection and use of data for evidence based decision making. The Data Lab Project is jointly implemented by the Kaduna State Government, Gates Foundation and Natview Foundation for Technology Innovation. It is a 5-year project aimed at supporting the State in implementing the Data Revolution Plan, with a core objective of developing human capital around data science and the use of data for decision making.
Objectives of the Fellowship
The program was designed to:
- Build a community of skilled data scientists who can use analytics to drive public decision-making.
- Create a pipeline of tech-savvy talent for the public and private sectors.
- Empower Kaduna youth with digital skills for economic development.
Eligibility and Selection Criteria
To qualify for the Data Science Fellowship Programme, applicants must meet the following criteria:
Basic Eligibility:
- Must be a Nigerian citizen residing in Kaduna State (or willing to reside there during the program).
- Must be between 18 and 35 years old.
- Must have at least a Bachelor’s degree or HND in any discipline.
- Must demonstrate basic knowledge of mathematics, statistics, or programming.
- Must own a laptop and have access to a stable internet connection.
- Must be available full-time throughout the 6-month program.
Selection Process:
The selection process is competitive and includes:
- Online Application Submission.
- Aptitude Test and Basic Analytics Assessment.
- Virtual/Physical Interviews.
- Final selection and onboarding.
Key Benefits of the Fellowship
The Click-On-Kaduna Data Science Fellowship Programme is more than just training it’s an experience that transforms your career path. Here are some of the benefits you’ll enjoy:
- Free Training: Fully-funded technical and soft-skills sessions led by top-tier data experts.
- Hands-On Projects: Work on real datasets from government ministries to drive impact.
- Mentorship: Access to professional mentors in data science and machine learning.
- Networking: Connect with peers, alumni, and industry professionals.
- Certification: A recognized certificate of completion from the Kaduna State Government.
- Career Growth: Potential placement opportunities post-fellowship.
How to Apply for the Data Science Fellowship Programme
Ready to take the leap? Here’s how to apply:
Step-by-Step Application Process:
Visit the official application portal
Fill in the Application Form
Provide accurate personal, academic, and professional details.
Submit Your Application
Ensure all fields are correctly filled and submit before the deadline.
Prepare for the Next Stage
Watch your inbox for test invites and further instructions.
Final Thoughts
If you’ve been looking for a meaningful way to launch or pivot your career into tech, especially in data science, analytics, or machine learning, this fellowship is it.
Don’t just read about other people’s success stories create your own. The Click-On-Kaduna Data Science Fellowship Programme is your stepping stone.
Apply now and take the first bold step toward a data-driven future:
Official Application Link
Have any questions or need help with your application? Drop them in the comments below, and we’ll respond as quickly as possible. Don’t forget to share this post with friends or family who might be interested.
