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During this module, you will: 

• Develop core skills in data preparation, modelling, and visualisation using industry-standard analytics tools. 

• Use foundational tools widely adopted in data science workflows to perform tasks such as exploratory analysis, modelling, and visualisation, and apply techniques including data cleaning, feature selection, classification, clustering, and regression. 

• Learn to interpret and present data-driven insights to support decision-making across technical and business contexts. 

• Boost your career opportunities in data-driven roles or progress towards a master’s degree in data analytics or artificial intelligence.  

Key Information: 

This micro-credential will be delivered online over 7 weeks. 

You will be continuously assessed through 3 assignments, to be handed up at the end of a 2-week block.  3 online quizzes, each to be taken also at the end of a 2-week block. 

Part-time considerations:      

• Designed for working professionals     

• Evening or recorded lectures    

• Additional prep and group work time   

• Timetable provided after registration 

To help you to be successful on this course:  

• Applicants should hold a bachelor’s degree ( Level 8) with at least a second-class honours (2:2) in a relevant engineering, computing, mathematics, science or technology discipline or a discipline that has a significant mathematics and computing element. 

• You are expected to have completed a basic introduction to Python.  

Guidelines for your applications:  

• When applying, be sure to include the Module Code CS5062.  We can’t process your application without it. You can apply for more than one module using the same application.  

• By applying, you confirm that you meet the entry requirements and can take part in the course and its assessments.  

• This course will go ahead if it meets minimum enrolment number.  

• Completing this module doesn’t guarantee you a place in a full programme. If you want to apply for a full programme, you must meet the specific entry requirements for that programme. 

EU and Non-EU - €1,250  

Further information on fees and payment of fees is available from the website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email student.fees.office@ul.ie). 

Other funding  

Find further information on funding and scholarships.

This micro-credential can lead to the following sectors and careers: 

• Data analytics and business intelligence roles across industry and the public sector. 

• Data-driven positions in finance, healthcare, logistics, and technology. 

• Roles involving data visualisation, reporting, and dashboard development.