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Course Details

Course Code(s):
CE6002
Available:
Part-Time
Intake:
Spring
Course Start Date:
Spring 2026
Duration:
7 Weeks
Award:
University Certificate of Study
Qualification:
NFQ Level 9 Minor Award
Faculty: Science and Engineering
Course Type: Professional/Flexible, Online
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

Artificial intelligence and machine learning are transforming every sector, from healthcare and finance to manufacturing and beyond. 

This 7-week, Level 9 micro-credential introduces core techniques in machine learning a powerful application of AI that enables systems to learn from data and improve over time. You’ll build confidence in training, validating, and evaluating models for real-world problems 

Designed for learners with a technical background, this module supports upskilling in one of today’s most in-demand fields. 

This module is associated with the MSc in Artificial Intelligence 

It can be taken on its own as a University Certificate of Study (UCOS) module or as part of a pathway to a larger award.

 

During this module, you will: 

  • Build hands-on machine learning skills in supervised learning using Python, with exposure to industry-relevant toolboxes for real-world classification problems 

  • Understand and manage key challenges in machine learning such as overfitting, bias, and model complexity improve model performance and reliability. 

  • Apply and evaluate key machine learning techniques, including logistic regression, neural networks, and SVMs, to make data-driven decisions. 

  • Boost your career in AI or data science or use this module as a stepping stone toward a master’s degree in artificial intelligence or machine learning. 

Key Information:

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

You will be assessed using continuous assessment methods, including practical assignments and online quizzes. 

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 or science discipline with a significant mathematics and computing element.  

  • Applicants must be comfortable with general programming in Python. Exposure to Python machine learning toolboxes is not a must but is advantageous. 

 Guidelines for your applications: 

  • When applying, be sure to include the Module Code CE6002. 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 - €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: 

  • Applied AI and machine learning roles in tech, finance, healthcare, and manufacturing 

  • Data science and analytics positions across public and private sectors 

  • Software development roles with a focus on intelligent systems and predictive modelling 

  • Progression to postgraduate study in artificial intelligence, machine learning, or data science 

Graduate and Professional StudiesPostgraduate Studies at ¾ÅÉ«ÊÓÆµ

+353 (0)61 234377
¾ÅÉ«ÊÓÆµ, Limerick, Ireland

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