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We completely redefine how untapped African talents are skilled and prepared for the future of work.

Explore Our Offerings

Data Analytics

Master the industry tools to transform, analyze large real-world data sets and present insights.

Digital Marketing

Apply modern marketing strategies, and drive growth with multichannel campaigns.

Data Science

Leverage software development and statistics to find patterns in data, to train, and develop models.

Artificial Intelligence

Develop responsive and strategic AI models, and techniques that meet the demand of the current.

Blossom Academy Training Overview

Intensive Training

Develop intensive data skills anywhere from 12 to 24 weeks, coupled with leadership skills training and dedicated careers support.

Internship Placement

Put your skills into practice with access to hands-on, real-world internships with our employer partners.

On-Going Mentorship

Get support from our in-house data scientists and alumni community while going through the internship phase.

Economic Opportunity

85% of our program graduates secure data science jobs within 3 months, earning 3x the average salary of their peers.

Take the Leap and Start Your Journey

Blossom Academy creates a community by admitting students who bring creativity, ingenuity, and curiosity to the classroom.

Step 1 - Apply

Submit your application. Share a bit about yourself and what's driving you to start a career in data science.

Step 2 - Admissions Assessment

Complete a short critical thinking and problem-solving assessment. This allows us to assess your aptitude for data.

Step 3 - Admissions Interview

Speak with an Admissions representative in a non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical - just a friendly conversation.

Step 4 - Admissions Decision

Receive your acceptance decision from Admissions. This usually happens within 3 business days.

Step 5 - Prework

If accepted, you'll begin course pre-work to prepare for the first day of class. Our data courses pre-work consists of 20-40 hours of lessons and labs covering the basics of Python (including loops and functions), statistical measures such as central tendency and dispersion, and building data visualizations using matplotlib and seaborn.

Our Three Pillars

Blended Peer Learning

You will be placed in small groups to work together as a team and complete academic goals in real-time virtual classrooms and during in-person sessions; which has goals at the individual and group level.

Mentor-Based Learning

A mentor will be available at all times during office hours to provide help and evaluate your work. We offer you a supportive and engaging work environment, where you can feel free to make mistakes and learn.

Projects-Based Learning

Our learning methodology focuses 100% on the needs of today’s market. You will work on real-world projects similar to those you’ll find on the job and complete them using the same tools used by professionals.

You can invest in our mission here

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