• Anytime
    Application Deadline
  • 1 month
In today’s increasingly data-driven global economy, it’s an asset to any organisation to have someone with the skills to effectively apply the power of data science to their everyday work. Gain valuable insights and a real-world approach to data by choosing the Fundamentals of Data Science (Non-Technical) course at the University of Southampton.
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This industry-leading flexible online Fundamentals of Data Science (Non-Technical) course from University of Southampton will introduce you to the dynamic field of data science, and equip you with the theoretical knowledge and both the practical and technical skills you need to work more effectively with data.

The 6-week online and interactive Fundamentals of Data Science (Non-Technical) course will enable you to understand:

  • The process of data science, from data-gathering to visualisation.
  • How data science is changing the way we tell stories.
  • How to effectively work with live data and understand the opportunities presented by cloud services.
  • The challenges and opportunities arising from utilising data science within your organisation.

Register your interest now and excel in your career by being able to apply a real-world approach to data to your everyday work.  

Detailed Programme Facts

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

      As an online student, you also have the opportunity to approach your classes in a synchronous or an asynchronous manner. Participate in our live lectures and discussions as they take place, or alternatively, watch them back afterwards and work to your own schedule.

  • Languages
    • English
  • Delivery mode

Programme Structure

Topics included:

  • Welcome and introduction to the course
  • What data science is and why it’s important
  • Creating impact from data science
  • Introduction to data storytelling
  • Understanding your rights to use data
  • The data spectrum
  • Unlocking value from open data
  • Gathering data

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Comfortable using Excel. No coding required. 

Technological Requirements

  • A modern supported web browser such as Google Chrome, Safari or IE10+.
  • A 64-bit copy of excel. 
  • A copy of OpenRefine installed for use highly recommended. 


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.

Fundamentals of Data Science (Non-Technical)
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