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Design of Experiments

Key information

Subject area:

Stackable Microcredentials

Course type:

Assessed Module

Credit level:


Credit value:



11 weeks

Available course dates:

From: 23 September 2024 To: 06 December 2024
Application deadline: 12 August 2024

Course overview

This module covers essential topics on Design of Experiment, such as:

  • Randomization, replication and blocking
  • Factorial treatment structure
  • Fractional factorial designs
  • Aliasing
  • Response surface methodology
  • Optimal designs
  • Optimal designs for nonlinear models
  • Incomplete block design
  • Confounding
  • Nested, split-plot designs and other multi-stratum designs.

Examples from a range of application areas will be used to motivate and illustrate the methods covered in the module.

You will be given problem sheets with both analytical exercises and numerical problems. You will be able to measure your progress using these exercises and have the opportunity to receive feedback in tutorials. Solutions will be provided subsequent to tutorials.

The coursework consists of individual design projects to be carried out using the tools covered in the module lectures and tutorials. Problems sets will prepare you in using the necessary statistical software and in the presentation of the results.

What will I achieve?

At the end of this module, you will be able to:

  • Design and critically assess an experiment based on mathematical criteria and practical objectives
  • Analyse the data from experiments in a way that respects the design structure
  • Apply and critically evaluate DoE methods in several application areas (e.g., industrial, agricultural, medical)
  • Demonstrate expertise in using statistical software to carry out DoE analysis.
  • Interpret and effectively communicate the results from a DoE analysis.

Who will I learn with?

Vasiliki Koutra

Vasiliki Koutra

Lecturer in Statistics

Who is this for?

To enrol on this module, you must meet the following module-specific requirements:

  • A 2:1 honours degree (or above) in Mathematics, Statistics or other mathematics-based subject, including modules covering probability theory, statistical inference and linear regression models
  • A 2:2 honours degree in Mathematics, Statistics or other mathematics-based subject, including modules covering probability theory, statistical inference and linear regression models, supported by a CV and employer reference letter demonstrating a minimum of three years relevant professional experience.

Plus the following additional standard entry requirements:

  • A CV and personal statement outlining reasons for study
  • English language at Band D (IELTS 6.5 overall with a minimum of 6.0 in reading/writing and 6.0 in listening/speaking). 

How will I be assessed?

You will be assessed via coursework and examination, as follows:

  • Coursework = 20%
  • Examination = 80%

What is the teaching schedule?

This is an on-campus module that involves a two-hour lecture and one-hour tutorial per week. You will be expected to attend both in person, though lectures are lecture-captured if you have strong impediments preventing you from attending. Exact times and dates will be provided upon enrolment. 

Further information

This module is offered as part of our flexible master’s awards in Professional Development. The awards are one of the most flexible currently offered in the UK, providing the opportunity to study a range of modules from across King’s, both on-campus and online. Whether you are looking for a promotion or to retrain, you have come to the right place.   

Designed for mature professionals juggling life and work commitments, our postgraduate awards will enable you to study at your own pace. In challenging financial times, you are also able to fund your studies module-by-module. We will support you to select the right module diet that meets your objectives while ensuring that you are well prepared for success. We will also help you to build your professional network of peers from across our suite of CPD modules.  

We can’t wait for you to continue your lifelong learning journey here at King’s. 

Course status:


Full fee £1039

International fee £2456



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