Design of Experiment (DoE) in Pharmaceutical Development

If you are looking for DoE for Pharmaceutical Development course so this is for you.

This comprehensive online course is designed to help you master DoE concepts and apply them confidently in real pharmaceutical product development scenarios.

Whether you are involved in formulation development, analytical method development, process optimization, scale-up, or regulatory submissions, this course will give you the practical skills and confidence needed to design efficient experiments, reduce development time, and improve product quality.

You will learn DoE from fundamentals to advanced concepts, explained in a simple, visual, and industry-oriented manner, without unnecessary mathematical complexity.

Content of course

1. Introduction to Experimental Design

   • What is DoE

   • Definitions

   • Sequential Experimentation

   • When to use DoE

   • Common Pitfalls in DoE

2. A Guide to Experimentation

   • Planning an Experiment

   • Implementing an Experiment

   • Analyzing an Experiment

   • Case Studies

3. Two Level Factorial Designs

   • Design Matrix and Calculation Matrix

   • Calculation of Main & Interaction Effects

   • Interpreting Effects

   • Using Center Points

4. Identifying Significant Effects

   • Variable & Attribute Responses

   • Describing Insignificant Location Effects

   • Determining which effects are statistically significant

   • Analyzing Replicated and Non-replicated Designs

5. Developing Mathematical Models

   • Developing First Order Models

   • Residuals  or Model Validation

   • Optimizing Responses

6. Fractional Factorial Designs (Screening)

   • Structure of the Designs

   • Identifying an Optimal Fraction

   • Confounding or Aliasing

   • Resolution

   • Analysis of Fractional Factorials

   • Other Designs

7. Proportion & Variance Responses

   • Sample Sizes for Proportion Response

   • Identifying Significant Proportion Effects

   • Handling Variance Responses

8. Intro to Response Surface Designs

   • Central Composite Designs

   • Box Behnken Designs

   • Optimizing several characteristics simultaneously

DOE Projects (Project Teams)

• Planning the DoE (s)

• Conducting

• Analysis

• Next Steps

What You Will Learn

• Fundamentals of Design of Experiments explained in simple language

• Why One-Factor-At-a-Time (OFAT) fails in pharmaceutical development

• Screening designs to identify critical material and process variables

• Full factorial and fractional factorial designs with pharma examples

• Response Surface Methodology (RSM) for optimization

• DoE application in formulation development and process development

• Understanding interactions and design space (ICH Q8 concept)

• How DoE supports Quality by Design (QbD) and regulatory compliance

• Practical interpretation of DoE results for decision-making

• How to justify DoE studies during audits and regulatory reviews

Who This Course Is For

This course is ideal for:

• Pharmacy students & M.Pharm or PhD scholars

• Formulation development scientists

• Analytical R&D professionals

• Process development & scale-up engineers

• QA, QC, and validation professionals

• Regulatory affairs professionals

• Anyone working in pharmaceutical product development

Note: No prior knowledge of statistics or DoE software is require

By the End of This Course

You will be able to:

1. Design scientifically sound experiments

2. Identify critical formulation and process parameters

3. Optimize pharmaceutical products efficiently

4. Reduce development time and experimental cost

5. Confidently apply DoE in real pharmaceutical projects

Recently, DoE has been used in the rational development and optimization of analytical methods. Culture media composition, mobile phase composition, flow rate, time of incubation are examples of input factors (independent variables) that may the screened and optimized using DoE.

Look for course description. look for see you in the class.