Online Diploma in Pharmaceuticals Data Analytics - Univista EdTech
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Course Overview
The Online Diploma in Pharmaceuticals Data Analytics by Univista EdTech is a specialized program designed to equip learners with the analytical, computational, and domain expertise required to harness the power of data in the pharmaceutical and life sciences industry.
This course integrates data analytics, machine learning, bioinformatics, and regulatory intelligence to transform raw pharmaceutical data into actionable insights.
Learners will gain hands-on experience in managing and analyzing data from clinical trials, drug discovery, pharmacovigilance, and supply chain systems, helping organizations make smarter, evidence-driven decisions that accelerate innovation, improve safety, and optimize performance.
15 Months
INR 1,00,000
Intake: Year around admissions
Key Highlights
Comprehensive curriculum covering pharma data science, biostatistics, and advanced analytics.
Learn from data scientists, bioinformaticians, and pharma industry experts.
Hands-on training in data visualization, predictive modeling, and statistical analysis.
Integration of AI, ML, and automation tools used in modern pharmaceutical research.
Capstone project focused on real-world datasets from R&D, clinical, or regulatory environments.
Exposure to global data standards such as CDISC, HL7, and FDA data submission frameworks.
Ideal for pharmacists, data analysts, biostatisticians, and life science graduates aspiring to enter data-driven roles in healthcare and pharma.
Skills You Will Learn
Data cleaning, transformation, and visualization.
Pharmaceutical statistics and biostatistical analysis.
Predictive modeling for drug development and patient outcomes.
Clinical trial and pharmacovigilance data interpretation.
Data-driven decision-making in R&D, QA/QC, and regulatory functions.
Use of analytics for forecasting, risk assessment, and process optimization.
Understanding of healthcare and pharma data standards (CDISC, GCP).
Communication of insights through dashboards and reports.
Tools You’ll Master
Course Outcomes
- Build strong analytical capabilities tailored for pharmaceutical datasets.
- Use predictive and statistical models to optimize research and operations.
- Derive insights from real-world pharma data including clinical, sales, and safety records.
- Gain fluency with modern analytical tools and industry-relevant data frameworks.
- Prepare for careers in data analytics, pharmacovigilance, research informatics, and healthcare analytics.
Learning Outcomes
- By completing this diploma, learners will be able to:
- Apply statistical and analytical methods to solve pharmaceutical business and research problems.
- Interpret and present data to support scientific and strategic decision-making.
- Utilize machine learning algorithms to predict trends and outcomes in healthcare.
- Manage, clean, and analyze data from multiple pharma sources efficiently.
- Implement compliance standards in pharmaceutical data collection and reporting.
Key Outcomes
- Professional certification in Pharmaceuticals Data Analytics from Univista EdTech.
- Portfolio of analytical projects in drug development, clinical data, or regulatory analytics.
- Career readiness for roles such as Pharma Data Analyst, Biostatistician, Clinical Data Manager, or Healthcare Data Scientist.
- Strong foundation for advanced study in AI for Healthcare, Data Science, or Bioinformatics.
- Exposure to real-world pharmaceutical analytics workflows and compliance tools.
Course Curriculum
Module 1
Introduction to Data Analytics in Pharmaceuticals
Module 2
Pharmaceutical Data Systems and Global Standards (CDISC, GCP, HL7)
Module 3
Biostatistics and Data Management
Module 4
SQL and Database Systems for Pharma Data
Module 5
Data Visualization and Business Intelligence Tools (Power BI, Tableau)
Module 6
Python / R Programming for Pharma Analytics
Module 7
Predictive Analytics, Machine Learning, and AI Applications
Module 8
Clinical Data Analytics and Pharmacovigilance Insights
Module 9
Regulatory Data Management and Compliance Analytics
Module 10
Capstone Project – Data-Driven Case Study in Pharma Research or Operations
Why You Should Join this Course
- Future-Ready Skillset: Data analytics is revolutionizing every function in the global pharma industry.
- Career Acceleration: Designed for science and pharma professionals aiming for data-driven roles.
- Practical & Applied: Learn through real datasets, dashboards, and live industry projects.
- Technology-Integrated: Master analytical tools and AI applications shaping modern pharma operations.
- Industry-Relevant Curriculum: Developed with experts from pharma analytics, CROs, and regulatory sectors.
- Powered by Univista EdTech: A leader in futuristic, employability-oriented, and technology-driven learning, preparing professionals to lead the next generation of pharmaceutical innovation.
₹1,00,000
Admissions Open
Eligibility
- Minimum Qualification: 10+2 (High School) or equivalent
- Open to graduates, working professionals, and entrepreneurs
Admission Criteria
- Online application submission
- Document verification (education + ID proof)
- Admission confirmation after fee payment
