Course details

Online MSc Data Analytics

Mode: 100% online (with optional face-to-face events)
Length: 2 years (part-time)
Fees: £9,400 (funding options and instalments are available)
Start dates: January, May and September
Next start date: 3 June 2024
Application deadline: 13 May 2024
Next welcome week: 27 May 2024 (date TBC)
Application form: Start your application for May 2024 now

Looking for a full-time course? You can also study an MSc in Data Analytics on campus.

Course overview

The amount of information we generate is skyrocketing, and an organisation’s ability to leverage its power often determines its success. Are you ready to secure a rewarding job helping companies get the most out of their data?  

On this 100% online course, we’ll give you the in-depth knowledge, key concepts and methods for turning raw data into valuable business solutions. Join us to develop vital skills that are sought-after by companies everywhere, and unlock exciting new career options that propel businesses toward success. 

Why study this MSc in Data Analytics?

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Rounded problem-solving skills

Unleash your full potential as a problem-solver, critical thinker and data analyst.

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Practical application

Prepare for real-world challenges through a programme underpinned by solid theory and practice.

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Real-world data

Get hands-on experience analysing and visualising real data sets from cosmology, cybersecurity, and health informatics research.

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Craft cutting-edge solutions

Become equipped with the comprehensive knowledge required to excel in building data-driven solutions.

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.

Modules

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 student examining data on a computer
John Smith

Professor

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John Smith

Professor

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John Smith

Professor

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John Smith

Professor

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John Smith

Professor

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John Smith

Professor

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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

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 9431 1545, or email info@study-online.port.ac.uk

Careers in Data Analytics

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
Dr Mohamed Bader-El-Den

Your Course Leader

Dr Mohamed Bader-El-Den

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.

Want to start in May 2024?

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Female data analytics student