MSc Data Analytics

Use your inquisitive nature to translate data into real business solutions


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.

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Course Details

3 start dates per year: January, May and September

Next welcome week: 18 September 2023

Next course start date: 25 September 2023

Application deadline: 11 September 2023. Apply as soon as possible to secure your place.

Duration: 2 years (part time)

Format: Online, with optional face-to-face events.

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 September 2023 now

Why this course?

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.



You will study the following compulsory modules.
Module 1 - Applied Intelligent Data and Text Analytics (30 credits)

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.

Module 2 - Big Data Applications (30 credits)

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.

Module 3 - Business Intelligence (30 credits)

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.

Module 4 - Data Analytics and Management (30 credits)

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.

Module 5 - Master’s Engineering or Study Project (60 credits)

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 will learn

Benefits of learning online with us

How you'll learn with us
Our part-time, online courses fit around you. Forget visas and moving costs, with our online degree programmes, you can access your course from anywhere in the world. You’ll need to spend approximately 20-25 hours studying every week. As all course materials are available on demand, you can revise on the days and times that suit you best. We know you have a busy life, so to keep things manageable, your course modules are broken down into weekly segments. This allows you to fit your studies around your work, family, and social life.
All our modules, learning activities, and assessments are delivered online. We do this via Moodle, our easy-to-use Digital Learning Environment (DLE). All you need is regular access to a computer and an internet connection. Through Moodle, you'll have access to discussion forums where you can chat to your online tutors and other students about the course. Watch our short video to find out more about Moodle and then book a personalised demo with our Course Advisers, at a time to suit you.
What does a typical week look like?
Weekly topic Build your course-specific knowledge Challenge activities Apply your studies in learning activities Discussion forums Reinforce your knowledge by sharing ideas with other students Weekly webinar Discuss the week’s topic with your tutor and other students
Additional support 
Studying at Master’s level requires significant independent study, and self-motivation is vital. There are support services available for you to access throughout your studies, these include: University student services, such as IT Support, Student Support, study skills training, and the Library Your Student Adviser Team, who can answer practical and pastoral questions throughout your studies

How students study with us

• No visas or moving costs
• Access course from anywhere in the world
• Spend approx. 20-25 hours studying each week
• All course materials are available on demand
• Revise on the days and times that suit you best
• Course modules broken down into weekly
• Fit studies around work, family and social life
• Support with non-academic queries from a
student adviser team

Additional Support

As one of our students, you’ll have access to a range of services designed to support your studies and make your time with us as enjoyable as possible. -Our comprehensive online library of books, journals, and resources -A Student Advisor team to answer non-academic queries -Online software tutorials via LinkedIn Learning -The Students’ Union community -Career advice, CV creation, practice interviews, and more via our careers platform

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.

Careers and opportunities for MSc Data Analytics graduates

After graduating from our MSc Data Analytics, you’ll have the specialist knowledge and practical experience with research and software to succeed across various sectors.

Many organisations require data – as well as someone skilled to make sense of it. With the increasing reliance on big data experienced by companies around the globe, you’ll be well-positioned to identify an area where your interests and specialisations align.

Plus, as you continue to upskill and develop your transferable skills, you’ll have the option to explore entirely new industries should you ever wish to pivot elsewhere.

Roles open to MSc graduates could include:

Data scientist:
People in this role gather, analyse, and interpret large sets of data from different sources. Their results are presented in more comprehensible forms to help organisations identify trends in their business and create actionable plans around them.

Information strategist:
Information strategists analyse the flow and collection of data within a company. They use their findings to provide clear, efficient strategies to organisations, to help better serve their requirements.

Data architect:
Individuals in this role manage and store an organisation’s data. Data architects design, deploy, and establish data architecture that is secure and accessible to the rest of the greater team, while also updating it as necessary over time.

Chief data officer:
People in this position use gathered data to help their company stay competitive. This executive role is typically responsible for the organisation-wide governance, management, and utilisation of data in order to meet business goals.

Database programmer:
Database programmers develop, maintain, and update computer programs and databases. The programs they work on determine how data is organised, managed, and accessed within a company.

How to apply

Benefits of learning online with us

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.

Contact an Agent

Share your details in order to receive information about this high quality online masters course.

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