4 months
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Design, Develop and Improve Products and Processes with this Design of Experiments Specialization offered by Coursera in partnership with Arizona State University. Be able to apply modern experimental techniques to improve existing products and processes and bring new products and processes to market faster

Visit the official programme website for more information


Learn modern experimental strategy, including factorial and fractional factorial experimental designs, designs for screening many factors, designs for optimization experiments, and designs for complex experiments such as those with hard-to-change factors and unusual responses. 

The Design of Experiments Specialization offered by Coursera in partnership with Arizona State University

There is thorough coverage of modern data analysis techniques for experimental design, including software. Applications include electronics and semiconductors, automotive and aerospace, chemical and process industries, pharmaceutical and bio-pharm, medical devices, and many others.

Applied Learning Project

Participants will complete a project that is typically based around their own work environment, and can use this to effectively demonstrate the application of experimental design methodology. The structure of the course and the step-by-stem process taught in the course is designed to ensure participant success.

Programme Structure

Courses included:

  • Experimental Design Basics
  • Factorial and Fractional Factorial Designs
  • Response Surfaces, Mixtures, and Model Building
  • Random Models, Nested and Split-plot Designs

More Details on Coursera Plus:

  • Learn Anything: Explore any interest or trending topic, take prerequisites, and advance your skills
  • Save money: Spend less money on your learning if you plan to take multiple courses this year
  • Flexible Learning: Learn at your own pace, move between multiple courses, or switch to a different course
  • Unlimited Certificates: Earn a certificate for every learning program that you complete at no additional cost

Key information


  • Part-time
    • 4 months
    • 3 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.




  • Self-paced

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner Level

  • A previous course in basic statistical methods. The required background is introduced and reviewed as needed throughout the course.

Tuition Fee

To alway see correct tuition fees
  • International

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 4 months.
  • National

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 4 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.


Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

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Design of Experiments


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