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Course content

Data production will be 44 times greater in 2020 than it was in 2009. As a result, the world needs data analysts to take this data and use it to help companies make better business decisions or healthcare providers reach those most in need.

The role of a data scientist is highly diverse overlapping many areas from computer science, mathematics, statistics, modelling and analytics. Our MSc in Data Analytics provides a balanced route to learning through a blend of academic study and lab sessions, with a heavy focus on practical engagement with industry.

Our new and innovative Masters programme in Data Analytics at Queen's University, Belfast is at the forefront of advances in cutting-edge technologies such as intelligent data visualisation, data mining, machine-learning and behavioural analytics.Data Analytics is an exciting field of rapid developments. Data is everywhere and continuing to grow massively, creating huge growth in demand for qualified experts to be able to extract the real benefit from the data.

The diversity of data analytics opens up many job opportunities from working in software companies, healthcare, banking, insurance, policing, tech companies to applying your knowledge to intelligent buildings and behaviour analytics of customers.

The programme provides a balanced route to learning through a blend of academic study and lab sessions, with a heavy focus on practical engagement with industry. In the first and second semesters, you will study 6 modules full-time which include opportunities for blended and collaborative learning. In the third semester you will undertake a significant industry based project.


The aim of the programme is to offer a multi-disciplinary education in data analytics that prepares graduates with key knowledge, skills and competencies necessary for employment in analytics and data science positions. In particular, the programme aims to provide students with:

  • Comprehensive knowledge and understanding of the fundamental principles of statistics and computer science that underpin analytics.
  • Advanced knowledge and practical skills in the theory and practice of analytics.
  • The necessary skills, tools and techniques needed to embark on careers in data analytics and data science.
  • Skills in a range of practices, processes, tools and methods applicable to analytics in commercial and research contexts.
  • Timely exposure to, and practical experience in, a range of current software packages and emerging new applications of analytics.
  • Opportunities for the development of practical skills in a commercial context.


  • Data Analytics Fundamentals
  • Databases and Programming Fundamentals
  • Data Mining
  • Machine Learning
  • Frontiers in Data Analytics
  • Analytics in Action
  • Individual Industry Based Project

Visit the MSc in Data Analytics page on the Queen’s University Belfast website for more details!




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