Master of Science in Data Analytics
A postgraduate programme focused on extracting actionable insights from large-scale data sets.
Best for:Best for graduates in business, science, or engineering seeking to specialize in data analytics and Big Data interpretation.
Overview
The Master of Science in Data Analytics at TUS Athlone Campus provides students with advanced training in the examination and interpretation of Big Data. The curriculum covers essential techniques for deriving insights from complex information, with applications ranging from fraud detection to traffic management and commercial analysis. Students will develop the analytical skills necessary to address real-world challenges across various sectors. The programme is designed for graduates from business, science, or engineering backgrounds who wish to specialize in data-driven decision-making.
What you'll do
- Engage in the systematic examination of large-scale data sets to identify patterns and trends.
- Apply analytical methodologies to solve complex commercial and operational problems.
- Develop insights for applications such as fraud detection and traffic management.
- Utilize advanced computational tools to optimize business and technical processes.
Requirements
Degree required: Level 8 honours degree in Business, Science, or Engineering with a minimum grade of 2.2 (50%)
Degree offered: MSc
Language: English; IELTS 6.5 or higher for non-native speakers
Instruction: English
- Minimum of 30 ECTS credits in mathematics, computer science, or engineering
- Foundational knowledge in data analysis or related quantitative fields
- Academic proficiency in English
- Hold a Level 8 honours degree or equivalent
- Meet the minimum credit requirements in relevant technical subjects
Funding & terms
Programme and admissions
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How to apply
Interested candidates should visit the official university course page to review specific admission procedures. Applications are submitted through the TUS institutional portal.
- Academic transcripts
- Proof of English language proficiency
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