Learn how clinical data is collected, validated, and managed using industry tools with practical training and placement support.

Industry Expert

Placement Support

Practical Learning

Industry Exposure
Clinical Data Management (CDM) is a key function in clinical research that focuses on collecting, cleaning, and managing clinical trial data to ensure accuracy, quality, and compliance. It plays a critical role in drug development and decision-making processes in pharmaceutical and healthcare industries.
In this Clinical Data Management course, you will gain a strong understanding of how clinical trial data is collected and entered accurately through structured processes. You will learn to work with Case Report Forms (CRF and eCRF), ensuring proper documentation and data consistency. The course also covers data validation and cleaning techniques to maintain high data quality standards. You will be introduced to the basics of database design and how clinical databases are structured. Additionally, you will understand query management processes used to resolve data discrepancies. Finally, you will learn about clinical data standards such as CDISC, which are essential for maintaining global regulatory compliance.






Everything you need to know about the course and admissions.
Clinical Data Management course teaches how clinical trial data is collected, validated, and managed using industry tools and standards.
Graduates from life sciences, pharmacy, or biotechnology backgrounds can join and build careers in clinical data management roles.
You can work as Data Manager, Clinical Data Analyst, Data Coordinator, or Database Programmer in pharmaceutical companies.
Freshers earn ₹3–5 LPA, while experienced professionals can earn ₹6–10 LPA depending on skills and experience.
Yes, it is a growing field with high demand due to increasing clinical trials and data-driven healthcare systems.