数据科学与分析理学硕士

Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) in computer science or mathematical sciences or
Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) with a strong numerate content (e.g. engineering, finance, physics, biosciences or economics). In such cases, the programme team must be satisfied that the numerate content is sufficient for entry to the programme and that applicants have an aggregate grade of a Second Class Honours Grade II in appropriate modules.

Applicants who do not meet the above standard entry requirements will also be considered under Recognition of Prior Learning (RPL) if they have an undergraduate degree (NFQ, Level 8) and a minimum of 5 years of verifiable relevant industrial experience.

Applicants who do not have a primary degree will only be considered with a minimum of 10 years of verifiable relevant industrial experience.

Candidates from Grandes Écoles Colleges are also eligible to apply if they are studying a cognate discipline in an ENSEA or EFREI Graduate School and are eligible to enter the final year (M2) of their programme.

Duolingo English Test: DET 120 (with a minimum score of 110 in each individual section)

IELTS: 6.5 Overall; 6.0 Individual Skills (academic version)

TOEFL iBT: 90 Overall; Listening 20; Reading 19; Speaking 21; Writing 20

Cambridge Examinations:

C2 Proficiency
C1 Advanced
B2 First

176 overall with no less than 169 in each element of the test

Pearson PTE: Minimum score of 63 with no section score below 59