What We Teach in Clinical Data Management Training ?

Our Clinical Data Management Certification Course is a 2-month, job-focused program that covers every essential aspect of managing clinical trial data with accuracy and compliance. The training is structured to give students both theoretical understanding and practical skills through real-world case scenarios and EDC tool practice. You will learn: Core Concepts of Clinical Data Management (CDM)

Understand the clinical trial process, CDM lifecycle, and data flow from study setup to database lock. Process Flow and Study Design

Learn protocol interpretation, CRF design, data collection, data validation, and discrepancy management. Compliance with Global Regulations

Understand 21 CFR Part 11, GCP guidelines, and industry best practices for audit readiness. Creating CDM Standards and SOPs

Build foundational knowledge in designing compliant CRFs, creating data standards, and adhering to regulatory guidelines. Why BCRI’s Clinical Data Management Course?

Clinical Data Management (CDM) is a critical phase of every clinical trial. It ensures that the data collected is accurate, clean, and statistically valid — forming the foundation for key regulatory and development decisions in drug and device research. Integral to Every Clinical Trial Phase

CDM is not just a support function — it drives trial quality and data reliability. Every successful new drug or device approval relies on well-managed data. Training with Industry-Standard CDM Tools

Gain hands-on experience with tools like Oracle Clinical, Medidata Rave, and eClinical Suite, which are widely used in global trials to manage large volumes of data with high compliance standards. Understand Audit Trails & Compliance Standards

Learn how CDM systems maintain audit trails, minimize discrepancies, and comply with international standards such as 21 CFR Part 11 and CDISC. Be Involved from Study Startup to Database Lock

From protocol review to CRF design and query resolution, Clinical Data Managers are involved in every step of a trial’s data lifecycle.