Introduction to Data Analytics Online

Data plays a major role in modern organisations, especially in research and developing business strategies.

To stay competitive, employers need to identify trends, insights and other valuable information hidden inside complicated data sets. As a result of this, professionals with the ability to translate such sets and enable data-driven business solutions are in high demand.

If you’re interested in building a career as a data professional, this 100% postgraduate course will help you learn valuable data analysis skills without needing to take time away from your work or other commitments.

Course details

MSc Data Analytics 

3 start dates per year: January, May and September

Next welcome week: 22 January 2024

Next course start date: 29 January 2024

Application deadline: 15 January 2024. Apply as soon as possible to secure your place.

Duration: 2 years (part time)

Format: Online, with optional face-to-face events. You can also study an MSc in Data Analytics on campus.

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

Tailored support: Contact our course adviser team today for application advice

Application form: Start your application for January 2024 now

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Why this MSc Data Analytics?

On this online data analytics course, 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.

The programme 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 study

On this course, you'll:

  • 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

All course materials are available on-demand and can be accessed from wherever you are in the world. Find out more about how you'll learn with us.

Why choose this course?

Graduates speak about their reasons for choosing this course, including the practical experiences and easy access to webinars.

Read the video transcript on this page.


On this module, you’ll develop applied knowledge of data mining and text analytics methods in different situations. You’ll gain experience of text mining and data tools, and learn how to visualise and interpret your results to solve real-world problems.

This module explores what big data analytics is and unpacks its challenges. You'll connect remotely to a cluster of Portsmouth computers as you learn to navigate new computational architectures developed to deal with big data and the increasing demand for its processing. You’ll gain a comprehensive understanding of the main scale-out and big data system architectures and platforms, as well as big data methods and algorithms to help you prepare for and adapt to big data’s volatile nature.

Various software applications are used to analyse and discover new insights into an organisation’s raw data. On this module, you’ll learn how to effectively use software - particularly Tableau - to visualise business data and translate it for strategy support. You’ll also be introduced to various types of financial data, reports and decision-making processes, and will learn about data warehouse concepts and their use.

This module covers the fundamentals of data analytics, including the core concepts, statistical methods, techniques and surrounding ethics and professional codes that underpin the field. You’ll learn about emerging trends in data analytics and management, and gain practical experience by learning how to design and implement a database for businesses based on a given set of requirements.

All your studies on this MSc will culminate into a final project that demonstrates the knowledge you’ve gained over the last two years. You can do an Engineering Project where you’ll focus on implementing something, such as a web app or machine learning model. Or you can do a Study Project that involves using big data in a sector of your choice. You’ll then plan, manage, evaluate and reflect upon a proposed solution based on your application of data research, collection and analysis.

How you're assessed

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.

Data analytics used in cosmology

Teaching team

Dr Mohamed Bader-El-Den

Dr Mohamed Bader-El-Den

Course Leader

I'm a Senior Lecturer at the School of Computing at the University of Portsmouth. My research interests are in the areas of Data Science (DS), Machine Learning (ML), Evolutionary Algorithms and Combinatorial Optimisation.

MSc Data Analytics webinar

Find out how our course will help you develop the skills necessary to succeed as a data analyst or data scientist:

Watch now

Looking for a full-time course?

You can study an MSc in Data Analytics on campus:

Find out more

Entry requirements

To join this course, you must have:

  • A first or second class honours degree in a relevant subject, or international equivalent, or relevant employment experience
  • English language proficiency at IELTS level 6.0 with no component score below 6.0 (or other acceptable proof), if English is not your first language

If you’re unsure whether you’re eligible to apply, please speak to one of our course advisers on +44 (0)23 9400 3692, or email

Career prospects and opportunities

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.

To learn more about the paths of progression available to you after graduation, visit our Careers and opportunities page:

More on career options

Want to start in January 2024?

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Female data analytics student