Biostatistics & Design of Experiments Course | IIT Madras | Prof. Mukesh Doble
Course Details
| Exam Registration | 584 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 8 weeks |
| Categories | Biological Sciences & Bioengineering |
| Credit Points | 2 |
| Level | Undergraduate/Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 13 Mar 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 16 Feb 2026 |
| Exam Date | 28 Mar 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Data in Biology: A Guide to Biostatistics & Design of Experiments
In the data-driven world of modern biology and biotechnology, the ability to design robust experiments and interpret complex results is not just an advantage—it's a necessity. Whether you're developing a new drug, optimizing a fermentation process, or conducting clinical research, statistical rigor is the backbone of credible science. This is where the fields of Biostatistics and Design of Experiments (DOE) become indispensable.
We are excited to introduce a detailed 8-week online course designed to equip students and professionals with these critical skills. Titled "Biostatistics and Design of Experiments," this course is taught by a distinguished expert from one of India's premier institutions.
Meet Your Instructor: Professor Mukesh Doble, IIT Madras
Learning from an experienced practitioner bridges the gap between theory and real-world application. This course is led by Prof. Mukesh Doble from the Department of Biotechnology at the Indian Institute of Technology Madras (IIT Madras).
- Industry Veteran: With over 20 years of experience at multinational giants like Imperial Chemical Industries (ICI) and General Electric (GE), Prof. Doble brings invaluable industry perspective.
- Accomplished Academic: His research expertise spans Biomaterials, Biopolymers, and Drug Design, backed by an impressive record of 270 published papers, 10 books, and 10 patents (including two in the US).
- Proven Educator: He has successfully delivered popular online video courses on Downstream Processing and Biostatistics, making complex topics accessible and engaging.
Who is This Course For?
This course is meticulously designed for a broad audience seeking to strengthen their analytical capabilities:
- Students: UG and PG students majoring in Biotechnology, Microbiology, Biochemistry, Biomedical Sciences, Agriculture, and Fisheries.
- Researchers & Scientists: Professionals in R&D, clinical trials, pharmaceuticals, agri-sciences, and biotech companies.
- Prerequisites: A basic understanding of probability and statistics is recommended to get the most out of the curriculum.
What Will You Learn? Course Overview & Layout
Over eight intensive weeks, the course progresses from foundational statistical concepts to advanced experimental design strategies. Here’s a module-wise breakdown:
| Week | Module Title | Key Topics Covered |
|---|---|---|
| 1 | Introduction & Data Distributions | Experimental design strategy, Data types, Binomial, Poisson, and Normal Distributions. |
| 2 | Statistical Foundations & Tests | Standardized Normal, t-distribution, Confidence Intervals, Introduction to t-tests. |
| 3 | Analysis of Variance (ANOVA) | F-tests, Introduction to ANOVA for comparing multiple groups. |
| 4 | Deep Dive into ANOVA | Extended applications and interpretations of ANOVA. |
| 5 | Specialized Tests & Distributions | Normality tests, Odds Ratio, Chi-square tests, Weibull distribution. |
| 6 | Non-Parametric & Other Distributions | Non-parametric tests, Homogeneity of variance, Beta, Exponential, Hypergeometric distributions. |
| 7 | Introduction to Design of Experiments | DOE principles, Factorial Design, Full & Fractional Factorial designs. |
| 8 | Advanced Designs & Data Analysis | Other experimental designs, Second-order designs, Regression Analysis, Control Charts. |
Why are These Skills Crucial for Your Career?
The application of this knowledge is vast and directly impacts industry success:
- For Biopharma & Drug Development: Design efficient clinical trials, compare drug efficacy, and ensure regulatory compliance.
- In Industrial Biotechnology: Optimize bioreactor conditions, screen critical parameters, and improve yield while minimizing experiments and cost.
- In Agriculture & Fisheries: Analyze crop yield data, design field trials, and study genetic traits.
- Academic Research: Formulate testable hypotheses, choose the right statistical test, and publish robust, reproducible findings.
Industry Support: These skills are highly sought after by Biopharma companies, Agri-tech firms, Fisheries departments, and Biotechnology R&D centers worldwide.
Enroll Today and Transform Your Analytical Approach
This Biostatistics and Design of Experiments course is more than just a series of lectures; it's a comprehensive toolkit for anyone serious about excelling in biological sciences. By combining Prof. Mukesh Doble's industry-academic expertise with a structured, application-oriented curriculum, this program offers a unique opportunity to master the statistical backbone of modern biotechnology.
Take the next step in your academic or professional journey. Equip yourself with the power to design, analyze, and discover with confidence.
Enroll Now →