Introduction To Data Analytics/Visualisation & Machine Learning - Module AU5112

Course Details

Course Code(s):

AU5112

Available:

Part-Time

Intake:

Spring

Course Start Date:

Spring 2026

Duration:

13 Weeks

Award:

University Certificate of Study

Qualification:

NFQ Level 9 Minor Award

Faculty: Science and Engineering

Course Type: Professional/Flexible

Fees: For Information on Fees, see section below.

Contact(s):

Name: SEFLC
Address: Science & Engineering Flexible Learning Centre Email: seflc@ul.ie

Read instructions on how to apply

for more information or to be notified when applications are open.

Brief Description

ReSHAPE Project Funding

Fully funded places are available for learners living or working in the Midlands region, counties Laois, Offaly, Longford and Westmeath. Eligible learners can avail of 100% funding under ReSHAPE. For information on how to apply for the funding, please visit the ReSHAPE Website:

ReSHAPE Project is co-funded by the Government of Ireland and the European Union through the EU Just Transition Fund Programme 2021-2027.

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.

During this module, you will:

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

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, grade 2 (2:2) in any discipline.

Guidelines for your applications:

When applying, be sure to include the Module Code AU5112. 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 Student Fees Office 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 sectors.
Digital transformation and automation roles in manufacturing and services.
Business or operations analyst positions focused on data-driven decision-making.
Progression to postgraduate study in data analytics, digitalisation, or industrial informatics.

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