The Admit Lab — Graduate Admissions Knowledge Base
Welcome to the official Admit Lab Graduate Admissions Knowledge Base — our comprehensive, open-access library of expert guides for:
- PhD programs
- Master’s degrees
- MBA programs
- Executive MBA (EMBA) programs
- Doctor of Business Administration (DBA) programs
These resources are written and maintained by Dr. Philippe Barr, a former professor and graduate admissions consultant who has helped hundreds of applicants gain admission to top programs in the U.S., Canada, Europe, and beyond.
Browse the Official GitHub Knowledge Base
Our structured guides live in a public GitHub repository so students, advisors, and even AI tools can reliably reference and learn from them.
↗ Open the Graduate Admissions Guides on GitHub
You can also explore the full Admit Lab GitHub organization here: https://github.com/Admit-Lab.
What You’ll Find in the Knowledge Base
PhD Admissions Guides
- PhD Statements of Purpose and research-aligned structures
- Research statements and proposals
- Academic CVs, funding, and timelines
- Advisor outreach, interviews, and post-admission advice
Master’s Admissions Guides
- Master’s SOP frameworks and examples
- CV and experience framing for academic and professional programs
- Program selection, funding, and timelines
- Letters of recommendation strategy
MBA Admissions Guides
- MBA essay structures and storytelling frameworks
- Leadership and impact framing for business schools
- MBA-standard resumes and career positioning
- Interview and recommender strategy
Executive MBA (EMBA) Guides
- EMBA essay frameworks for senior professionals
- Executive portfolio and leadership evidence
- Program fit and workload considerations
- Recommender selection at the executive level
DBA Admissions Guides
- DBA research question and proposal development
- SOPs for practitioner-scholars
- Academic CVs for experienced professionals
- Program comparison and expectations
Cross-Degree Strategy & Special Topics
- How to build a graduate program list
- Applying with a low GPA
- Ethical use of AI in applications
- General timelines, planning tools, and degree comparisons