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The 12-month MSc in Data Science and Analytics, launched in 2017 as a conversion program, equips students with essential competencies for gathering, processing, analyzing, and presenting data. This interdisciplinary course enables learners to derive meaningful insights, identify patterns, and assess analytical models. It's jointly offered by the Departments of Mathematics & Statistics, Computer Science, and the National Centre for Geocomputation.
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.
IELTS - 6.5 with no less than 6.0 in each band; TOEFL internet-based test iBT: 90 with no less than 21 in writing and at least 19 in all other sections; Pearson Test of English - 63 with no less than 59 for each item in the Communicative Skills section; Duolingo English Test (DET) - 120 with no less than 110 in literacy, conversation, and comprehension subscores and no less than 95 in production. (This lower production subscore applies to non-EU applicants only), Cambridge Proficiency Cert. - 176+ on Cambridge English scale with no less than 169 in each skill and use of English. Proficiency Certificate, Grade C or better (CEFR Level C1 or C2); Cambridge Advanced Cert. - 176+ on Cambridge English scale with no less than 169 in each skill and use of English Advanced Certificate, Grade C or better (CEFR Level C1 or C2); ETAPP - C1 or better (CEFR Level C1 or C2); Oxford Test of English - 140 with no less than 125 in each skill; Trinity College London ISE - ISE III with at least merit in each skill category.