Programme Parameters
Graduate / Intermediate
12 Weeks (120 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
Clinical trials are research studies conducted to evaluate the safety and effectiveness of new medical treatments or interventions. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Clinical trials are research studies conducted to evaluate the safety and effectiveness of new medical treatments or interventions.
📋 Course Objectives
1. Put biotechnology techniques to work on real datasets and case studies.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• A portfolio-grade biotechnology deliverable you can defend and extend.
• 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
Introduction to Clinical Trials
Overview of clinical trials and their significance in medical research • Understanding the different phases of clinical trials and their objectives
Ethical Considerations and Regulatory Framework
Ethical guidelines and regulations governing clinical trials • Informed consent process and protection of human subjects
Study Protocol Development
Elements and structure of a clinical trial protocol • Inclusion and exclusion criteria, endpoints, and study procedures
Randomization and Blinding in Clinical Trials
Principles and methods of randomization • Importance of blinding and strategies for maintaining blinding integrity
Patient Recruitment and Retention
Strategies for effective patient recruitment and retention • Addressing challenges and enhancing patient engagement in clinical trials
Data Collection and Management
Data collection methods and tools in clinical trials • Ensuring data quality, accuracy, and completeness
Adverse Event Reporting and Safety Monitoring
Understanding adverse event reporting requirements • Safety monitoring, data safety monitoring boards, and pharmacovigilance
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | SPSS |
| Covered Tool / Platform | SAS |
| Covered Tool / Platform | REDCap |
| Covered Tool / Platform | Medidata Rave |
| Covered Tool / Platform | Oracle Clinical |
| Covered Tool / Platform | ClinicalTrials.gov |
Frequently Asked Questions
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