Programme Parameters
Graduate / Intermediate
3 Days (4.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Systematic Reviews and Meta‑Analysis: From Search Strategy to Evidence Synthesis is a 3‑day mentor‑led program that walks you through the full workflow of planning, conducting, and reporting a systematic review with an introduction to meta‑analysis. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Systematic Reviews and Meta‑Analysis: From Search Strategy to Evidence Synthesis is a 3‑day mentor‑led program that walks you through the full workflow of planning, conducting, and reporting a systematic review with an introduction to meta‑analysis.
📋 Course Objectives
1. Gain working command of full workflow of planning.
2. Translate AI Enablement theory into practical, reproducible analysis.
3. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI Enablement
• R&D engineers and working professionals applying AI Enablement in industry
• Academics and educators building research or teaching capacity in AI Enablement
• Data and computational scientists moving into full workflow of planning
🚀 Key Learning Outcomes
• Confidence to reason about full workflow of planning in real projects.
• Tangible, reproducible AI Enablement work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Day 1 – Planning the Review & Search Strategy
Define review scope and formulate questions using PICO/PECO/SPIDER/PCC • Design Boolean search strings and select appropriate databases • Organize references and remove duplicates with Zotero
Day 2 – Screening, Data Extraction & Quality Appraisal
Screen titles, abstracts and full texts using Rayyan • Track inclusion/exclusion decisions and create a PRISMA flow diagram • Build data‑extraction tables and conduct risk‑of‑bias appraisal with CASP, JBI, RoB 2 & ROBINS‑I
Day 3 – Evidence Synthesis & Meta‑Analysis Basics
Differentiate narrative, quantitative and meta‑analysis synthesis approaches • Calculate effect sizes and choose fixed‑ or random‑effects models • Interpret forest and funnel plots and prepare PRISMA‑compliant reports
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Zotero |
| Covered Tool / Platform | Rayyan |
| Covered Tool / Platform | CASP |
| Covered Tool / Platform | JBI |
| Covered Tool / Platform | RoB 2 |
| Covered Tool / Platform | ROBINS-I |
| Covered Tool / Platform | PRISMA |
| Covered Tool / Platform | Forest plot tools |
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