STEM for Development (SFD), a global non-profit organization focused on improving access to quality STEM education in the Global South, invites applications for its Introduction to Statistics and Data Science course. This opportunity is designed for early-career scholars and emerging professionals who are eager to build foundational skills in statistics and data analysis.
The course provides a practical, beginner-friendly introduction to key statistical concepts and tools used in academic research and applied data science. Applications close on Monday, July 21, 2025 at 11:59 PM GMT.
Program Overview
The Introduction to Statistics & Data Science course is tailored to current undergraduate and Master’s students in STEM disciplines who have an interest in learning data interpretation, visualization, and statistical reasoning.
Key skills covered include:
- Descriptive and inferential statistics
- Interpretation of statistical outcomes
- Data manipulation and visualization
- Communicating data-driven findings
- Proficiency in Microsoft Excel and R Studio
The course is delivered virtually, requiring active engagement in live discussions and independent learning activities.
For full syllabus and session details, applicants are advised to review the course structure here.
Eligibility Criteria
To apply, candidates must:
- Be a citizen of a country in the Global South
- Be currently enrolled in or have recently completed an undergraduate or Master’s degree program
- Demonstrate a strong interest in statistics or statistical applications
- Be fluent in English and able to contribute to live discussions
- Have reliable access to a laptop or desktop and a strong internet connection suitable for virtual meetings
The course is particularly well suited for students pursuing or recently graduated from disciplines such as data science, statistics, computer science, biotechnology, engineering, mathematics, and environmental sciences. For more information visit STEM official website.
Application Process
To complete the application, candidates must:
- Fill in the online application form
- Email the following documents to info@stemfordevelopment.org:
- A current CV
- A 300-word Statement of Interest, explaining the applicant’s background, academic and career aspirations, and how the course aligns with their goals
The email subject line must read:
“Introduction to Statistics and Data Science Application – [Your Full Name]”
Incomplete applications or failure to use the correct subject line will result in automatic disqualification.
Use of Generative AI Tools in Applications
SFD encourages clear, reflective, and authentic writing. Applicants may use tools like ChatGPT or Grammarly to refine grammar or structure. However, content must reflect personal experience and voice. Submissions that appear fully AI-generated or inconsistent with the applicant’s background may be disqualified or subject to review. Applicants are advised to use AI tools ethically—as support tools, not substitutes.
Program Timeline
- Application Deadline: Monday, July 21, 2025, at 11:59 PM GMT
- Notification of Results: Saturday, August 16, 2025
- Course Start Date: Saturday, August 30, 2025
The program requires a two-hour weekly commitment, including virtual sessions and coursework.
Additional Questions Addressed in the Application Form
Applicants will also be asked about:
- Their academic history and GPA/classification
- Access to devices and internet
- Experience with research or statistics
- Familiarity with R/R Studio
- Any past barriers to accessing STEM opportunities
- Preparedness for virtual learning
Applicants are also invited to become members of STEM for Development by completing a short form at t.ly/E9r5.
About STEM for Development
STEM for Development (SFD) is committed to building capacity in science, technology, engineering, and mathematics across underrepresented and underserved regions. Through training, mentorship, and research, SFD bridges gaps in opportunity and access for students and professionals in the Global South.
This course is part of SFD’s mission to cultivate inclusive STEM leadership and provide young professionals with the technical and analytical tools needed in today’s data-driven world.
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