Blossom Academy AI Data Science Fellowship Ghana for Women : Complete Program Guide

Updated: August 2026 By Study Tribune Team

The Blossom Academy AI Data Science Fellowship Ghana is a fully sponsored training and career placement initiative designed to bridge the gender gap in West Africa’s technology ecosystem. Operating via a blended learning model in Ghana, the program equips unemployed and underemployed women—regardless of their prior academic or coding background—with industry-grade skills in data analytics, machine learning, and business intelligence.

By combining rigorous technical coursework with practical internship experience, this 10-month fellowship turns participants from non-technical backgrounds into competitive data professionals ready for the global market.

Program Snapshot & Key Details

Fellowship Architecture: The Two-Phase Journey

The program is structured across two distinct phases to ensure participants move seamlessly from foundational concepts to real-world deployment in professional environments.

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|                     BLOSSOM ACADEMY FELLOWSHIP                    |
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| PHASE 1: TECHNICAL TRAINING (4 Months)                            |
| • Blended Learning (Virtual Lectures + In-Person Labs)            |
| • Skill Stack: Excel, SQL, Power BI, Python, Machine Learning     |
| • Capstone Projects & Real-World Case Studies                     |
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| PHASE 2: INDUSTRY INTERNSHIP (Up to 6 Months)                     |
| • Placement with Corporate Partners & Tech Startups               |
| • Direct Professional Mentorship & Portfolio Building             |
| • Transition to Full-Time Career Roles                            |
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Phase 1: Intensive Technical Training (4 Months)

During the first four months, fellows undergo an immersive technical bootcamp. The curriculum is built around practical execution, taking students from basic data handling to predictive modeling.

• Blended Delivery: Live virtual lectures, self-paced coursework, and hands-on weekend lab sessions across key urban centers in Ghana.
• Peer Learning Groups: Collaborative study clusters supported by teaching assistants and industry mentors to ensure no student is left behind.
• Capstone Portfolio: Fellows complete individual and group industry projects, solving real business problems using real datasets.

Phase 2: Experiential Internship Placement (Up to 6 Months)

Following successful completion of the training phase, fellows are matched with corporate partners, non-profit organizations, and technology startups across West Africa and remote international markets.

• Practical Application: Interns apply their analytical skills to active corporate databases, reporting pipelines, and machine learning models.
• Career Readiness Coaching: Continuous guidance on technical resume building, GitHub portfolio management, and behavioral interview techniques.
• Job Placement Pipeline: High-performing interns are regularly offered full-time roles by host organizations upon conclusion of the placement window.

Comprehensive Curriculum & Skill Stack

The fellowship curriculum is continuously updated to align with evolving industry standards, focusing on five primary technology modules:

[Advanced Excel] ──> [SQL Databases] ──> [Power BI Dashboards] ──> [Python Scripting] ──> [Machine Learning]

1. Advanced Microsoft Excel for Business Analytics

• Dynamic formulas (XLOOKUP, INDEX/MATCH, nested logical operators).
• Pivot tables, slicers, and data modeling for executive reporting.
• Data cleaning automation and conditional formatting logic.

2. Relational Databases & SQL Querying

• Fundamentals of relational database management systems (RDBMS).
• Writing complex queries using SELECT, WHERE, GROUP BY, and HAVING.
• Table joins (INNER, LEFT, RIGHT, FULL), subqueries, and window functions for analytical data extraction.

3. Business Intelligence & Data Visualization (Power BI)

• Connecting Power BI to multiple heterogeneous data sources.
• Building interactive dashboards and calculated columns using DAX (Data Analysis Expressions).
• Designing automated reporting structures for stakeholder decision-making.

4. Python Programming for Data Science

• Python syntax, data structures (lists, dictionaries, tuples), and control flow.
• Data manipulation and analysis using Pandas and NumPy.
• Exploratory Data Analysis (EDA) and visualization using Matplotlib and Seaborn.

5. Applied Machine Learning & Artificial Intelligence

• Fundamentals of supervised and unsupervised learning algorithms.
• Implementing regression, classification, and clustering models using Scikit-Learn.
• Model evaluation metrics, hyperparameter tuning, and ethical AI deployment principles.

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Eligibility & Selection Criteria for Blossom Academy AI Data Science Fellowship Ghana

Blossom Academy prioritizes accessibility and diversity, welcoming women from varied academic and professional backgrounds. To qualify for consideration, applicants must fulfill the following criteria:

• Gender & Citizenship: Must identify as a woman and currently reside in Ghana.
• Employment Status: Preference is given to unemployed or underemployed female graduates seeking to transition into technology careers.
• Academic Background: Open to holders of HND, Bachelor’s, or Master’s degrees in any discipline (Humanities, Business, Science, Arts, or Social Sciences).
• Technical Background: No prior programming, mathematics, or computer science experience is required.
• Time Commitment: Applicants must commit fully to the entire 10-month duration, including scheduled virtual classes, in-person labs, and full-time internship hours.
• Hardware & Connectivity: Access to a working laptop and reliable internet access for the virtual learning components.

Step-by-Step Application Guide

Step 1: Online Application Submission
   └── Fill out personal, educational, and employment background details on the portal.

Step 2: Aptitude & Logical Reasoning Assessment
   └── Complete an online problem-solving test evaluating analytical thinking.

Step 3: Screening & Interview Phase
   └── Selected candidates undergo a virtual or panel interview assessing commitment and fit.

Step 4: Admission & Onboarding
   └── Accepted fellows receive official acceptance letters and join the cohort platform.

1. Submit Online Application: Complete the official application form on the Blossom Academy AI Data Science Fellowship Ghana portal when cohort application windows open. Provide accurate educational and contact details.
2. Complete Aptitude Assessment: Applicants are invited to take a non-technical assessment designed to evaluate logic, analytical reasoning, and basic problem-solving abilities.
3. Attend Screening Interview: Candidates who pass the assessment undergo an interview with the admissions committee to review motivation, availability, and career aspirations.
4. Cohort Enrollment: Successful applicants receive an official fellowship offer letter and onboarding instructions for Phase 1.

Note: Application deadlines are cohort-specific. Candidates should regularly monitor the official Blossom Academy portal to verify open intake dates for upcoming recruitment cycles.

Frequently Asked Questions

Is the Blossom Academy AI/Data Science Fellowship completely free?

Yes. The fellowship is 100% fully sponsored. Selected participants do not pay any tuition fees, registration charges, or placement costs for either the 4-month training or the internship phase.

Do I need prior coding experience to apply?

No. The program is specifically built to accommodate complete beginners. The curriculum begins with foundational computer literacy and basic spreadsheet operations before gradually advancing into Python and machine learning algorithms.

Can employed women apply for the fellowship?

The program is primarily designed for unemployed or underemployed women in Ghana who can commit fully to the rigorous training schedule and subsequent internship placements. Employed individuals must ensure their schedules do not conflict with required live sessions and full-time internship demands.

What certificate do fellows receive upon graduation?

Participants who complete all training modules, pass project evaluations, and complete the internship phase receive an official Certificate of Completion in AI & Data Science from Blossom Academy, along with project credentials to showcase on LinkedIn and GitHub.

How are the in-person sessions conducted in Ghana?

The program uses a blended learning framework. Virtual sessions are conducted during the week, while periodic in-person lab sessions, group projects, and networking workshops are held at designated training hubs in Accra and major Ghanaian municipal centers.

What happens if I do not live in Accra?

While training includes virtual components accessible from anywhere in Ghana, participants must be able to attend designated in-person workshops or lab sessions when scheduled.

What happens after the 6-month internship phase?

Many host partner organizations retain fellows as full-time data analysts, business intelligence specialists, or junior data scientists. Blossom Academy’s alumni network also provides ongoing career support, job referrals, and advanced learning resources.