Program Overview

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Computing with Machine Learning/AI

Overview

The Bachelor of Science (Honours) in Computing with Machine Learning/AI is a 1.5-year part-time undergraduate program that includes new modules in the area of Data Analytics based on industry requirements. The program uses cloud technologies and academy materials from industry providers such as Microsoft Azure, Amazon AWS, Intel, SAP, and Tableau.

Program Details

TU Code

TU862

NFQ Level

Level 8

Award Type

Major

Award

Bachelor of Science (Honours)

Duration

1.5 Years

Course Type

Undergraduate

Mode of Study

Part Time

Method of Delivery

Blended

Commencement Date

September 2025

Location

Tallaght

Fees

€3,550

What is Computing with Machine Learning/AI?

This add-on Bachelor of Science (Honours) degree in Computing with Machine Learning/AI includes new modules in the area of Data Analytics based on industry requirements. Graduates of the course will have a strong set of computing knowledge and skills allied to specific computing focused data analytics skills. They will be given a sufficient grounding in data analysis and database operation to be able to perform basic well-founded data analysis. Students will further receive a solid grounding in data reporting, presentation, and visualisation.

Minimum Entry Requirements

Participants on this course must have a minimum Level 7 award with competence in statistics, IT, and scripting/programming. Applicants require a Level 7 award in computing or equivalent in a cognate area. All applicants must have competence in spoken and written English.

Career Opportunities

Graduates from this course have gone on to pursue roles as data analysts, data visualisation specialists, business intelligence specialists, cloud architects, support specialists, QA consultants, database administrators, web developers, and managers with such companies as SAP, Microsoft, IBM, Fidelity, Openet, Ergo, SalesForce, and Bank of Ireland.

Course Content

Semester 7

• Applied Machine Learning
• Social Media Analysis
• DevOps - Continuous Integration and Deployment (Elective)
• Interactive Media Design & Visualisation
• Information Management
• Project - Data Analytics
• Security for the cloud and IoT (Elective)

Semester 8

• Applied Artificial Intelligence and Deep Learning
• Data Analysis and Programming
• E-Learning (Elective)
• Enterprise Performance Architecture (Elective)
• IT Governance and Quality
• Operations Research (Elective)
• Project - Data Analytics Specialisation
• User Experience Design (Elective)

Module Listing

Year One

Semester 1

• Applied Machine Learning (Mandatory)
• Information Management (Mandatory)
• Interactive Media Design & Visualisation (Mandatory)
• Project - Data Analytics (Mandatory)
• Social Media Analysis (Mandatory)
• DevOps - Continuous Integration and Deployment (Elective)
• Security for the cloud and IoT (Elective)

Semester 2

• Applied Artificial Intelligence and Deep Learning (Mandatory)
• Data Analysis and Programming (Mandatory)
• IT Governance and Quality (Mandatory)
• Project - Data Analytics Specialisation (Mandatory)
• E-Learning (Elective)
• Enterprise Performance Architecture (Elective)
• Operations Research (Elective)
• User Experience Design (Elective)

Schedule

This course runs 3 evenings a week.