• Anytime
    Application Deadline
  • 1 month
Through real-life examples, this flexible online Data Science for Digital Marketing course from University of Southampton introduces you to the essential elements of data science in helping you to interpret how your customers engage and interact with your digital marketing efforts.
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With such diversity in customers and their habits, interests and behaviours, it’s imperative to have a thorough understanding of your customers to effectively market to them.

The 6-week online and interactive Data Science for Digital Marketing course from University of Southampton will enable you to:

  • Understand the role data science plays in digital marketing.
  • Identify what data needs to be collected to ensure your digital marketing process is optimised.
  • Recognise the roles of different sources of data and how they can be used together to add value to your digital marketing efforts.
  • Understand how machine-learning applies to customer segmentation, churn prediction, and customer engagement.

Detailed Programme Facts

  • Programme intensity Part-time
    • Average part-time duration 1 months
    • Duration description

      60 hours (across 6 weeks)

  • Languages
    • English
  • Delivery mode
  • More information Go to the programme website

Programme Structure

Topics include:

  • Googleverse
  • How people interact with sites
  • Setting goals
  • Basic site design – what Google wants
  • Google Analytics and search console
  • Facebook advertising
  • A/B testing
  • Reporting
  • Traffic and site journeys
  • Sources and conversations


Digital and B2B marketeers

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Google analytics introductory course


Check the programme website for information about funding options.

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.

Data Science for Digital Marketing
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