1 months
1500 GBP/full
1500 GBP/full
Tuition fee
Apply date
Start date


This CPD accredited course aims to offer you a hands-on approach of data science and to help you become better at work.

Visit the official programme website for more information


In this Online Fundamentals of Data Science (Non-Technical) programme offered by the University of Southampton , one of the best-ranked universities in the world. During this course, you will be guided by tutors who will use a practical approach based on real-life examples and interactive tasks.

The part-time delivery of this course perfectly suits professionals who want to develop new skills or who need to advance their knowledge in order to be more efficient at work.

Why study this course?

  • Unlike many other online courses, this one is to tutor-lead. Southampton academics will be there to answer your questions and provide support.
  • Continuing Professional Development (CPD) accredited, which means that the learning activity has reached high standards and benchmarks. It will represent a point of interest at your work interviews
  • Practical approach - learn how to work with AI

The University of Southampton is one of the best in the world and is ranked among the top 100 universities, globally

How you'll learn

  • Supervision during the course

One of the advantages of the Fundamentals of Data Science (Non-Technical)course is the fact that it is tutor-led. Even if it is an online course, the help of tutors is as important as in a physical classroom. The teachers in this course are meant to inspire and motivate you. They are data science experts who are able to deliver valuable and complex information. Also, they can provide you access to relevant documents if you need them to.

  • Hands-on learning useful for your day-to-day job

Learning is based on real-life business situations to demonstrate how you can immediately use the power of data science at work. You will have access to a learning platform usually accessible anytime and anywhere from a smartphone tablet or desktop.

Evaluation methods and feedback

In this course, four assignments are needed. For each assignment, your tutor will give a mark and comments. At the end of the course, you will be awarded a downloadable certificate.

After successfully completing the course, you’ll be able to:

  • Be familiar with key concepts of data science and their real-world application
  • Sort the various types of data available and their rights
  • Create an effective data collection and management plan
  • Prepare for analysis 
  • Analyse a considerable amount of data to obtain valuable insights
  • Create ways to effectively visualise data
  • Successfully work with live data and understand what benefits cloud services can bring
  • Critically assess the challenges and opportunities that can appear from using data science within your workplace


CPD accredited 

Programme Structure

Topics included:

  • 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

Key information


  • Part-time
    • 1 months

Start dates & application deadlines





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

Comfortable using Excel. No coding required. 

Tuition Fee

To alway see correct tuition fees
  • International

    1500 GBP/full
    Tuition Fee
    Based on the tuition of 1500 GBP for the full programme during 1 months.
  • EU/EEA

    1500 GBP/full
    Tuition Fee
    Based on the tuition of 1500 GBP for the full programme during 1 months.


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.

Our partners

Fundamentals of Data Science (Non-Technical)
University of Southampton


Go to your profile page to get personalised recommendations!