Master of Science in Computing in Big Data Analytics & Artificial Intelligence
Master advanced data analytics and artificial intelligence techniques to uncover patterns and build autonomous computing systems.
Best for:Best for computing graduates and IT professionals looking to specialize in big data analytics and artificial intelligence.
Overview
This Master's programme at ATU Donegal Campuses focuses on the processes involved in examining and interpreting large amounts of data to uncover hidden patterns, correlations, and actionable insights. Students learn how to enable computer systems to make independent decisions using modern AI and big data technologies. The curriculum combines rigorous coursework with practical data processing methodologies. Applicants are expected to engage with complex analytical concepts and commit to regular study hours.
What you'll do
- Attend scheduled lectures and on-campus practical sessions for full-time study modes
- Engage in independent study and coursework ranging between 10 and 20 hours per week
- Analyze large datasets to identify hidden patterns, trends, and correlations
- Design and implement computer systems capable of independent decision-making
- Complete module assignments, projects, and examinations leading to a Level 9 Master's degree
Requirements
Degree required: Level 8 Honours degree in Computing or equivalent (minimum 2.2 second class honours), or Higher Diploma in Computing
Degree offered: Master of Science (Level 9 NFQ)
Language: English proficiency suitable for postgraduate academic study
Instruction: English
- Foundational knowledge in computing or related technical disciplines
- Proficiency in programming and data handling concepts
- Ability to undertake independent academic research and coursework
- Hold a Level 8 Honours degree in Computing or equivalent second class honours (2.2), or a Higher Diploma in Computing
- Non-computing applicants must have a minimum of 30 ECTS credits in computing-related modules or relevant computer industry experience
- Applicants without an Honours degree may apply via Recognition of Prior Learning (RPL)
- Optional participation in a one-week bridging course where deemed necessary
Funding & terms
Programme and admissions
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- Intake
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- Duration
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Applications open in February for September intakes and in October for January intakes. Interested candidates should submit their applications through the official ATU online application portal. Closing dates and specific entry requirements are detailed on the individual course webpages.
- CV
- Academic transcripts
- Proof of prior qualifications
Contact
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