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Course Details

Course Code(s):
CE4021
Available:
Part-Time
Intake:
Autumn/Fall
Duration:
7 weeks
Award:
University Certificate of Study
Qualification:
NFQ Level 8 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

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

Brief Description

Machine learning is powering innovation across every sector—from healthcare and finance to transport and technology. Understanding the foundations behind it is essential for anyone exploring a future in AI or data science. 

This 7-week, Level 8 micro-credential provides a solid introduction to the core mathematical and programming concepts that support machine learning.  

Delivered through Python, it is designed for learners with previous exposure to maths and computer programming, helping you build confidence in scientific computing and prepare for further study or upskilling in this fast-moving field. 

This module is associated with the Professional Diploma in Artificial Intelligence for Computer Vision, Machine Learning for Finance - MSc (Online) and Artificial Intelligence - MSc (Online) 

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

Participants should be available for a two-week online induction prior to the stated start date.  Expected effort during this induction is about 2-5 hours. This induction introduces you to our online learning approach and environment. It is also an opportunity to install required software and take part in a mock assignment submission and exam prior to taking part in graded assessments. 

During this module, you will: 

  • Use Python to implement core programming constructs and explore data for scientific computing through structured online activities (E-tivities). 

  • Build your understanding of linear algebra, calculus, and probability theory in machine learning applications. 

  • Apply Python to basic machine learning models and data visualisation problems. 

  • Prepare for further study or upskilling in AI, data science, or technical roles that require scientific and mathematical computing. 

Key Information

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

You will be assessed using continuous assessment methods, including assignments, online interactions with peers and online exams. 

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 CE4021. 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 numbers.    

  • 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 - €1,033

Non-EU - €1,033

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: 

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

Graduate and Professional StudiesPostgraduate Studies at ¾ÅÉ«ÊÓÆµ

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

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