Workshops / Trainings
Workshops / Trainings
3 MONTHS (12 WEEKS)/ Hands-on Industry Oriented Training

Advanced Certificate Program In Sensory Science,

Sensometrics, Multivariate Data Analysis (MVA) and Consumer Research


MODE CLASS ROOM + LABORATORUY HANDS-ON PRACTICAL



SCIENCE4U – Advanced Certificate Program In Sensory Science, Sensometrics, Multivariate Data Analysis (MVA) and Consumer Research

A comprehensive industry-oriented program designed to provide in-depth knowledge and hands-on experience in sensory evaluation, sensometrics, multivariate data analysis, software training and consumer research.

Learn by doing through practical sessions, real-world datasets, and industry case studies.

Ideal for Food, Pharma , Cosmetics and conusmer product industrues.

Who Should Enroll?
This course is intended for
• Food Scientists & Technologists
• Sensory Scientists
• R&D Professionals
• Quality Assurance Professionals
• Research Scholars & Academicians
• Pharmaceutical Scientists
• Biotechnology Professionals
• Students pursuing Food Science, Biotechnology and Allied Disciplines.
No previous experience with statistical software or chemometrics is also expected.
The course language will be English

3 Months Intensive Hands-on Training Program

Program Highlights:
• Sensory Science Fundamentals
• Sensory Laboratory Setup & Management
• Sample Preparation & Presentation Techniques
• Taste, Aroma & Texture Training
• Sensory Evaluation Methodologies
• Panel Selection & Performance Evaluation
• Sensometrics & Sensory Data Analysis
• Multivariate Data Analysis (MVA)
• Consumer Research & Market Studies
• Software Training using Statistical softwares
• Industrial Case Studies
• Industrial Capstone Project

Detailed Course Contents
Download pdf with more details
Terminologies:

Analytical Instruments, Spectrophotometers, NIR, FT-NIR, Raman, GCMS, NMR, HyperSpectral Imaging, multispectral Imaging, Statistical Data Analysis, Chemometrics, Multivariate Data Analysis (MVA), Principal Component Analysis (PCA), Partial Least Square Regression (PLS), PLS Discriminate Analysis (PLS-DA), Quality by Design (QbD), Design of Experiments (DOE), Multivariate Statistical Process Controls (MSPC), Image Analysis, Microscopic Image Analysis, STM, AFM, Peak Analysis, Curve Fitting, Process Monitoring, Factor Analysis, Analysis of Variance (ANOVA), Response Surface Analysis (RSM), Machine Learning(ML), Early Events Detection(EED), Artificial Intelligence(AI), etc…