BICTA – Business Intelligence for Clinical Trials & Analytics
Program Overview
Duration: 6-12 months (Flexible structure: 2 semesters/trimester format)
Target Audience: Final-year UG & PG students in Life Sciences, Biotechnology, Pharmacy, Data Science, or Healthcare Management
Program Outcome: Graduates will gain industry-relevant expertise in clinical data analytics, helping them secure roles in top pharmaceutical companies, healthcare analytics firms, and research organizations.
Curriculum Structure
📌 Module 1: Foundations of Business Intelligence in Clinical Trials
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Introduction to Business Intelligence (BI) & Data Analytics
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Importance of BI in Pharmaceutical & Healthcare Sectors
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Data-Driven Decision Making in Clinical Research
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Regulatory Frameworks (FDA, EMA, ICMR, WHO)
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Ethical Considerations in Clinical Trials & Data Handling
💡 Hands-on Activity:
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Case Study: How BI transformed a drug approval process
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Workshop: Identifying BI applications in healthcare
📌 Module 2: Fundamentals of Clinical Trials & Data Management
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Phases of Clinical Trials (Phase I-IV) & Study Design
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Data Sources in Clinical Trials:
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Electronic Health Records (EHRs)
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Clinical Data Management Systems (CDMS)
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Real-World Evidence (RWE) & Patient-Generated Data
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Key Performance Indicators (KPIs) for Clinical Trial Analytics
💡 Hands-on Activity:
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Mini-Project: Analyzing a sample clinical dataset
📌 Module 3: Data Analytics & Visualization for Clinical Trials
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Exploratory Data Analysis (EDA) for clinical datasets
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Statistical Methods for Clinical Data:
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Survival Analysis
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Adverse Event Reporting
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Trend Analysis & Pattern Recognition
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Tools & Technologies:
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Python (Pandas, NumPy, SciPy)
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R for Biostatistics
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SQL for Clinical Data Retrieval
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Power BI & Tableau for Visualization
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💡 Hands-on Activity:
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Project: Cleaning & visualizing patient datasets
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Dashboard Creation: Using Tableau/Power BI for clinical trial monitoring
📌 Module 4: AI & Machine Learning in Clinical Trial Analytics
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Introduction to AI in Drug Discovery & Trials
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Predictive Modeling for Patient Recruitment & Retention
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Natural Language Processing (NLP) for Medical Records Analysis
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AI-driven Adverse Event Prediction
💡 Hands-on Activity:
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Build a Predictive Model to analyze drug efficacy
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Text Mining on Clinical Trial Reports
📌 Module 5: Regulatory Compliance & Risk Management in BI
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Clinical Data Standards (CDISC, SDTM, ADaM)
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HIPAA & GDPR Compliance in Clinical Data Handling
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Risk Assessment in Clinical Data Analytics
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Fraud Detection in Clinical Research
💡 Hands-on Activity:
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Audit Simulation: Identifying compliance risks in clinical datasets
📌 Module 6: Industry Applications & Career Readiness
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Real-world BI applications in Pharmaceutical Companies (Pfizer, Novartis, Roche, etc.)
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BI in Clinical Research Organizations (CROs) & Hospitals
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Resume Building & Interview Prep for Healthcare Data Analyst, Clinical Data Manager, and BI Consultant roles
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Industry Case Studies & Guest Lectures from Pharma Experts
💡 Hands-on Activity:
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Capstone Project: Solve a real-world BI problem in Clinical Trials
🎯 Expected Job Roles After Completing BICTA
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Clinical Data Analyst
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Business Intelligence Analyst (Healthcare & Pharma)
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Clinical Research Data Manager
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Regulatory Data Compliance Specialist
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Healthcare AI & Machine Learning Specialist
🔗 Industry Tools Covered:
✅ Python (Pandas, SciPy)
✅ R (for Biostatistics)
✅ SQL (Data Extraction & Management)
✅ Power BI & Tableau (Data Visualization)
✅ AI/ML for Clinical Trials (Basic)
🎓 Final Certification & Placement Support
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Industry-recognized BICTA Certification
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Internship opportunities with Pharma, Healthcare IT, and CROs
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Placement assistance for top-performing students
💡 Why Choose BICTA?
✅ Industry-Relevant Skills (Data Science + Pharma)
✅ Hands-on Training (Real-world case studies)
✅ High-Demand Careers (BI in Pharma is booming!)
✅ Strong Placement Assistance
🚀 Get ready to transform your career in Clinical Trial Analytics with BICTA!
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