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School of Mathematical Sciences

MSc Applied Data Analytics (Online)

Data is considered by many to be the most valuable resource in the world, even more valuable than oil. And when data is analysed and manipulated effectively, companies and organisations can use it to optimise their processes, predict trends, and identify opportunities.

Qualified data analysts are in high demand across a wide range of sectors, including financial services, entertainment, government, healthcare, telecommunications, and transport. Our online MSc in Applied Data Analytics has been designed to help you develop the hands-on skills required for these jobs.

Programme Highlights

Building on the successes of our campus-based MSc Data Analytics, we are excited to offer this flexible, online degree through the Coursera platform. With 18 hours of learning per week, you can fit this programme around your schedule. Your degree certificate will indicate you've earned an MSc in Applied Data Analytics from Queen Mary and there is no indication that you earned the degree online.

Long term success
Mathematics and statistics are the foundations of data analysis, and this degree programme will allow you to build the toolkit required for long-term career success. In addition to developing hands-on skills in programming, data manipulation and visualisation, our theoretical approach to data analysis will ensure you’re future-proofing yourself in a rapidly evolving industry.

Expert instructors
You will be taught by world-leading academics, many of whom have several years of industry experience, including fellows of the Alan Turing Institute for Data Science and Artificial Intelligence. In addition to weekly lectures and tutorials, our academic staff will be on hand to offer personalised support throughout the duration of your degree.

As a wide variety of industries increasingly depend on data analytics to make decisions at all levels, it is critical to have a good understanding of what is going on “under the hood” to not only apply techniques correctly, but also to keep up with the rapid development of tools and technologies.
— Dr Primoz Skraba - Programme Director , MSc Applied Data Analytics (Online)
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