Qualification : MASTER OF SCIENCE DEGREE
Award Type and NFQ level : TAUGHT MASTERS (9)
CAO/PAC code : MHR64
CAO Points :
Closing Date : 31 July 2024
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- Overview
- Entry Requirements
- Department People
- Course Structure
- Career Options
- How to Apply
The MSc in Data Science and Analytics is a 12-month conversion course (new in 2017) designed to give students the knowledge and skills to collect, process analyse and visualise data in order to extract useful information, explore patterns and evaluate models. The course is a collaboration between the Departments of Mathematics & Statistics, Computer Science and the National Centre for Geocomputation.
Commences
September
Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level. The degree should be at level 8 in any subject with some mathematical content.
Minimum English language requirements:
Applicants for whom English is not their first language are required to demonstrate their proficiency in English in order to benefit fully from their course of study. For information about English language tests accepted and required scores, please see here. The requirements specified are applicable for both EU and International applicants.
Maynooth University's TOEFL code is 8850
Prof Stephen Buckley
Head of Department
Department of Mathematics and Statistics
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Dr Ian Banfield
Academic
Department of Mathematics and Statistics
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Dr Stefan Bechtluft-Sachs
Academic
Department of Mathematics and Statistics
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Dr Niamh Cahill
Academic
Department of Mathematics and Statistics
Department of Hamilton Institute
Department of ICARUS
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Dr Galatia Cleanthous
Academic
Department of Mathematics and Statistics
Department of Hamilton Institute
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Dr Rafael de Andrade Moral
Academic
Department of Mathematics and Statistics
Department of Hamilton Institute
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Dr Detta Dickinson
Academic
Department of Mathematics and Statistics
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Dr Katarina Domijan
Academic
Department of Mathematics and Statistics
Department of Hamilton Institute
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Dr Catherine Hurley
Academic
Department of Mathematics and Statistics
Department of Hamilton Institute
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Dr Ciarán Mac an Bhaird
Academic
Department of Mathematics and Statistics
Department of ALL Institute
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Prof David Malone
Academic
Department of Hamilton Institute
Department of Mathematics and Statistics
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Prof Oliver Mason
Academic
Department of Hamilton Institute
Department of Mathematics and Statistics
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Dr Pat McCarthy
Academic
Department of Mathematics and Statistics
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Aoife Mccloskey
Academic
Department of Mathematics and Statistics
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Peter Mulligan
Academic
Department of Mathematics and Statistics
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Dr Keefe Murphy
Academic
Department of Mathematics and Statistics
Department of Hamilton Institute
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Dr John Murray
Academic
Department of Mathematics and Statistics
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Stephen Nulty
Academic
Department of Mathematics and Statistics
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Dr Fiacre Ó Cairbre
Academic
Department of Mathematics and Statistics
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Eoin O'Brien
Academic
Department of Mathematics and Statistics
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Padhraic O'Hanrahan
Academic
Department of Mathematics and Statistics
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Prof Ann O'Shea
Academic
Department of Mathematics and Statistics
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Prof Andrew Parnell
Academic
Department of Hamilton Institute
Department of Mathematics and Statistics
Department of ICARUS
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Dr Lars Pforte
Academic
Department of Social Sciences Institute (MUSSI)
Department of National Centre for Geocomputation (NCG)
Department of Mathematics and Statistics
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Dr Mark Walsh
Academic
Department of Mathematics and Statistics
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Prof David Wraith
Academic
Department of Mathematics and Statistics
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Dr Mehmet Yesil
Academic
Department of Mathematics and Statistics
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Students will gain skills in programming, statistics and databases, followed by an advanced module on statistical machine learning. The course includes material on the social and ethical consequences of the use of data and the implications for business and government. Applications from many industry sectors will be explored in our Case Studies module. In the Project module, students will put these technical skills in to practice. They will also gain experience in report writing, presentations and teamwork. Students also do a 30-credit thesis.
Course Duration: 1 year full-time
The Data Analytics jobs market is expanding in Ireland. Jobs are available in any industry or sector that collects data, ranging from IT, to healthcare, finance, food science and travel.
Online application only www.pac.ie/maynoothuniversity
PAC Code
MHR64
If you are interested in this programme please email pgadmissions@mu.ie
The following documents should be uploaded to your online application form:
Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of their birth certificate or valid passport.