MSc in Statistical Data Science
A master's programme focusing on the mathematical and statistical foundations of data science.
Best for:Best for numerate graduates seeking advanced training in mathematical and statistical data science.
Overview
The MSc in Statistical Data Science at University College Dublin is designed for students holding an undergraduate degree in a numerate subject. The curriculum places a strong emphasis on the mathematical and statistical core of data science. Students can choose between full-time and part-time study modes to fit their schedules. The programme prepares graduates for advanced quantitative careers by combining rigorous academic coursework with practical data analysis techniques.
What you'll do
- Complete coursework across 90 credits of mathematical and statistical data science modules
- Engage in computational and statistical data analysis projects
- Participate in lectures, seminars, and laboratory sessions on campus
- Fulfill all continuous assessment and examination requirements for the master's degree
Requirements
Degree required: Undergraduate degree in any numerate subject with an upper second class honours or international equivalent
Degree offered: MSc
Language: English; IELTS 6.5 with no band less than 6.0 in each element, or equivalent
Instruction: English
- Strong background in a numerate discipline
- Proficiency in mathematical and statistical principles
- Full-time option suitable for domestic (EEA) and international (non-EU) applicants
- Part-time option suitable for domestic (EEA) applicants only
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
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- 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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- Tuition
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How to apply
Applicants should submit their application online through the university's graduate admissions portal. Ensure all required academic transcripts and English language proficiency test scores are uploaded. Review the School of Mathematics and Statistics admission guidelines before submitting.
- Undergraduate transcripts
- English language proficiency test scores
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.