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Design of Experiment (DOE) Masterclass

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Learning Outcomes

By the end of the course, learners will be able to:

  • LO1: Explain design of experiments fundamentals, including factors, levels, responses, randomisation, replication and blocking.
  • LO2: Design and analyse full factorial experiments, including main effects and interactions.
  • LO3: Apply fractional factorial designs, understanding confounding and resolution.
  • LO4: Screen, model and optimise processes using regression and response surface methods.

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Participants who achieve at least 75% attendance will receive a Certificate of Attendance from Tertiary Courses Malaysia.

Design of Experiment (DOE) Masterclass

Course Code: C950

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What's This Course About

Design of Experiment (DOE) Masterclass equips you with the essential skills to plan, run, analyse and optimise experiments that improve process and product performance. Rather than changing one factor at a time, DOE lets you study several factors together, uncover interactions and find the best settings with far fewer runs, saving time and cost. The masterclass is designed for engineers, scientists, quality and process improvement professionals, and Six Sigma practitioners in manufacturing, R&D and service environments.

You will start with the fundamentals of design of experiments, including key terminology, factors, levels and responses, randomisation, replication and blocking, and how to plan an experiment that answers the right question. Next you will learn factorial DOE, designing and analysing full factorial experiments, interpreting main effects and interaction plots and using analysis of variance to identify significant factors. You will then cover fractional factorial DOE, reducing the number of runs while understanding confounding and resolution.

The final topic focuses on screening, modelling and optimising DOE, including screening designs to find the vital few factors, regression models, response surface methods and finding optimal process settings. Throughout the masterclass you will use statistical software and practical case studies to design and analyse real experiments. By the end, you will be able to apply DOE confidently to solve problems, optimise processes and make data-driven improvements.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Fundamentals of Design of Experiment

Topic 2: Factorial DoE

Topic 3: Fractional Factorial DoE

Topic 4: Screening, Modeling and Optimizing DoE

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Minimum Software/Hardware Requirement

Software:

  • No installation needed for the designs - every lab generates its design in the browser with NovaDOE
  • Microsoft Excel (desktop or Microsoft 365) for the lab workbooks, and a modern web browser (Chrome, Edge, Firefox or Safari)

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

Job Roles

Job Roles

  • Process Engineer
  • Quality Assurance Manager
  • Manufacturing Engineer
  • Operations Manager
  • Production Manager
  • R&D Scientist
  • Six Sigma Black Belt
  • Lean Manufacturing Specialist
  • Industrial Engineer
  • Continuous Improvement Manager
  • Quality Control Specialist
  • Operations Research Analyst
  • Supply Chain Analyst
  • Project Manager
  • Business Process Consultant

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (5)

Very useful course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 08/01/2026)
Knowledgeable trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 08/09/2025)
Good course materials Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 17/08/2025)
Excellent course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 20/12/2024)
Very satisfied Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 15/01/2024)

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