Introduction to Data Analytics/Visualisation & Machine Learning (EAGLE)

Data is at the heart of digital transformation, but knowing how to collect, clean, and interpret it is where real value is created. This micro-credential introduces key skills in data analysis, visualisation, and machine learning, using applied tools and real-world business systems.

Over 13 weeks, you will explore how to work with relational databases and time series data, using modern approaches to analytics that support better decision-making. Ideal for professionals in business or industry, this Level 9 module gives you the practical foundation to advance in data-driven roles.

This module is associated with the Professional Diploma Digitalisation of Business & Industry Processes. It can be taken as a standalone University Certificate of Study (UCOS) module or as part of a pathway to a larger award.

Module goals

• Learn best practice data analysis in the use of relational database models to collect, clean, and interpret data for business and industrial decision-making
• Apply data visualisation techniques to uncover patterns, trends, and correlations in real-world datasets
• Explore the use of computational intelligence, time series analysis, and forecasting to support digitalisation in practice
• Develop foundational knowledge in machine learning, predictive analytics, and data-driven problem solving in business and industry  

Key information

• This micro-credential will be delivered online over 13 weeks
• You will be assessed using continuous assessment methods, including assignments, practical exercises, and online activities
• Part-time considerations:      
  • Designed for working professionals    
  • Evening or recorded lectures    
  • Additional prep and group work time    
  • Timetable provided after registration 
• Fees: EU and Non-EU - €1,250