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During this programme, you will:  

• Explore the core mathematics and programming skills required in machine learning. 

• Hone your Python coding skills and knowledge and skills in Calculus, Linear Algebra and Probability Theory. 

• Explore the exciting possibilities that modern machine learning offers 

• Examine the core methods used in machine learning and state-of-the-art networks, such as Convolutional Neural Networks. 

Key Information: 

• Complete part-time over 14 weeks 

• Delivered fully online  

• Modules taught during autumn semester  

• Option to progress to the MSc in Artificial Intelligence 

• Modules with (M) beside them can be taken as independent micro-credential  

You will learn through a blend of:  

• Lectures and hands-on activities  

• Reflective practice and guided research  

• Regular feedback from faculty and peers   

Part-time considerations:  

• Designed for working professionals  

• Recorded evening lectures  

• Online forum-based collaboration with peers   

• Timetable provided after registration 

Autumn Semester

• Introduction To Scientific Computing For AI (M)(CE4021) Introduces the core mathematics and core programming skills required in machine learning. Using a number of E-tivities you will hone your Python coding skills as well as your knowledge and skills in Calculus, Linear Algebra and Probability Theory as the three core areas of mathematics that underpin machine learning.    

• Previews the exciting possibilities that modern machine learning offers, introducing you to the core methods used in machine learning and state-of-the-art networks, such as Convolutional Neural Networks.  

Books and journal articles needed for the course will be available online through the UL Glucksman Library.  

For more information on each module, you can search the faculty, school and module code on UL’s  

• Cat 1: Applicants should hold a bachelor’s degree ( Level 8) with at least a second-class honour, grade 2 (2:2) in a relevant engineering, computing, mathematics, science or technology discipline. 

• Cat 2: You may also hold a bachelor’s degree ( Level 8) with at least a second-class honour, grade 2 (2:2) in a discipline with a significant mathematics and computing element. 

• Cat 3: You may also hold a bachelor’s degree ( Level 8) with at least a second-class honour, grade 2 (2:2) in a non-numerate discipline and have a minimum of three years experiential learning in computing. 

• Cat 4: You may also be considered if you have at least seven years' work experience in a relevant computing or engineering environment and, or are in a senior or supervisory role in a company engaged in activities relevant to the subject matter of the  programme. 

Other Entry Considerations: 

We encourage you to apply even if you don’t meet the standard entry requirements, as long as you can show that you have the knowledge, skills, and experience needed for the programme. 

At UL, we value all kinds of learning and support different ways to qualify through our Recognition of Prior Learning (RPL) policy. 

International students:  

• For details on country-specific qualifications visit postgraduate entry requirements for international students. 

Checklist of Documents: 

• *Academic transcripts and certificates
  • UL graduates only need to provide their student ID.
• Copy of your birth certificate or passport
• English translation of your qualifications and transcripts
• Copy of your CV
• Personal Statement
• Other relevant documentation to support their application, such professional certificates (optional) 

English Language: 

• English Language Competency certificate
• For details on accepted language qualifications visit English Language Requirements 

Guidelines on Completing your Application  

• To make sure we can review your application quickly, please:
  • Upload all documents. Your application can’t be reviewed until we have all the documents on the checklist.
  • Title the documents you are uploading. For example, "Personal Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc.
• *If you are waiting to graduate, submit your application with the documents you have to date, you don’t need to have finished final exams before applying. 

TBC

Annual fees are billed by semester. Once registered, students may be eligible to apply for a monthly payment plan.  

Please note that international study visas are only available to students studying full-time in Ireland. This programme does not qualify for a study visa. 

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).   

 
Funding 

Technology Ireland ICT Skillnet Subsidised Funding 

You may be able to avail of subsidised fees from Technology Ireland ICT Skillnet. These are granted on a first-come first-served basis, are limited and subject to eligibility.  

For more information and to apply for the grant-aided fees, please visit the course page on . 

Find further information on funding and scholarships.

Still Curious?  

The team regularly host and take part in webinars to support future students. If you would like to learn more or ask questions at an online information session, click below.     

Online Information Sessions