24 months
4700 GBP/year
4700 GBP/year
Tuition fee
Apply date
Start date


On this online data analytics Data Analytics (Distance Learning) course from University of Portsmouth, you'll be taught critical thinking and analysis skills by academics conducting research into artificial intelligence, machine learning, and other areas relevant to data analytics.

Visit the official programme website for more information


The Data Analytics (Distance Learning)  programme from the University of Portsmouth  is designed to prepare you for the real-world challenges of working with data. 

Your studies will help you to learn how to translate theory into practice – while also providing you with invaluable hands-on experience.

You’ll sharpen your technical and technological abilities by analysing real data gathered from our cosmology, cybersecurity and health informatics research. You can also look forward to mastering useful data mining tools and data visualisation software.

Upon completing the programme, you’ll be equipped with the expertise needed to help you succeed as a data professional, including the ability to:

  • Design and implement data mining-based applications to solve business problems
  • Analyse, visualise, and interpret your results to present data-driven insights
  • Model and implement data warehouses
  • Manipulate and process datasets and apply various core statistical models
  • Design and implement a database for businesses when given a set of requirements

What you’ll experience

  • Become familiar with popular software and tools such as Knime, Tableau, Hadoop and Spark
  • Get remote access to our computer clusters and supercomputers
  • Analyse real data to provide answers for practical problems
  • Learn about applied data analytics and engineering, advanced data management, big data applications and business intelligence
  • Discover and manage the business value provided by data sets

Work experience and career planning

Our online data analytics course is structured to give you the tools required to advance as a professional in this field.

In addition to developing your technical and technological expertise, the opportunities you’ll receive to analyse real data, self research, and present projects will aid you in developing the confidence and thoughtfulness needed to excel.

These skills, coupled with the support you can receive from our exceptional Careers and Employability Service, will help position you as a valuable hire to employers across the world.

Teaching and programme assessment

All assessments for this course are based on coursework submitted online. Your performance is assessed through coursework such as:

  • Practical work, including task-based exercises
  • Written assignments
  • Presentations
  • Master’s Engineering or Study Project

You'll also receive formal and informal tutor feedback to help you improve future work.

Programme Structure

Courses include:

  • Applied Intelligent Data and Text Analytics 
  • Big Data Applications
  • Business Intelligence
  • Data Analytics and Management 
  • Master’s Engineering or Study Project

Key information


  • Part-time
    • 24 months

Start dates & application deadlines


TOEFL admission requirements TOEFL® IBT


180 alternative credits



Academic requirements

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

English requirements

TOEFL admission requirements TOEFL® IBT

Other requirements

General requirements

  • A first or upper second class honours degree in a relevant subject or a degree with relevant experience, or equivalent professional experience and/or qualifications.

Tuition Fee

To alway see correct tuition fees
  • International

    4700 GBP/year
    Tuition Fee
    Based on the tuition of 9400 GBP for the full programme during 24 months.
  • National

    4700 GBP/year
    Tuition Fee
    Based on the tuition of 9400 GBP for the full programme during 24 months.

Total course fees: £9,400 (including a £250 acceptance fee)


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

Data Analytics (Distance Learning)
University of Portsmouth


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