Master of Science in Data Science
A multidisciplinary Master's programme focused on extracting knowledge from structured and unstructured data.
Best for:Best for graduates in Computer Science, Engineering, Business, or Science seeking to specialize in data-driven decision-making.
Overview
The Master of Science in Data Science at ATU Sligo is a multidisciplinary programme designed to equip students with the skills to derive insights from complex data sets. The curriculum integrates core concepts from mathematics, statistics, information theory, computer science, and artificial intelligence. Delivered entirely online, the programme is structured to accommodate working professionals through flexible study hours. Students will engage with advanced analytical techniques applicable to a wide range of professional sectors.
What you'll do
- Attend 2-3 online lectures per week
- Complete 90 credits of coursework
- Apply mathematical and statistical techniques to data analysis
- Develop proficiency in programming languages such as Python, C/C++, or R
- Manage independent study time for module-based learning
Requirements
Degree required: Level 8 Honours Degree (2:2 or above) in Computer Science, Engineering, Business, or Science
Degree offered: MSc
Language: English
Instruction: English
- Foundational knowledge in mathematics
- Basic programming proficiency in Python, C/C++, or R
- Hold a Level 8 Honours Degree (2:2 or above)
- Recognition of Prior Learning (RPL) is accepted
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Applications are processed for two main intakes per year. Prospective students should visit the official university application portal to submit their documentation. Deadlines are specified on the individual course webpages.
- Academic transcripts
- Proof of degree
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