What Will You Learn?

• Formulate clear, testable research questions aligned with basic and paraclinical sciences and assess feasibility within available resources.
• Conduct comprehensive literature reviews using biomedical databases and synthesize existing knowledge to identify research gaps.
• Design studies with appropriate experimental or observational designs, adequate sample sizes, and proper controls.
• Navigate ethical and regulatory requirements by preparing complete IRB applications and obtaining necessary approvals before data collection.
• Apply appropriate biostatistical methods including sample size calculation, hypothesis testing, and advanced statistical analyses relevant to thesis research.
• Utilize statistical software proficiently (Excel, SPSS and/ or R) for data management, analysis, and creation of publication-quality tables and figures.
• Present statistical results accurately with appropriate interpretation, acknowledging limitations and drawing evidence-based conclusions.
• Write a complete master's thesis following institutional format requirements with well-organized chapters including introduction, literature review, methodology, results, discussion, and conclusions.
• Convert thesis into journal manuscripts suitable for submission to peer-reviewed journals.

Material Includes

• Pre-recorded video lessons
• Additional reading materials
• Practice datasets

Requirements

• Laptop/ PC will be required for the data analysis practice and statistical software practice.

Audience

• Residents of Basic Sciences and Paraclinical Sciences.
• Research enthusiasts around the world.

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