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Cork Institute of Technology (Munster Technological University)

Cork , Cork ,Ireland

Data Science & Analytics (MSc)

The growth in the field of Data Science has been enormous in recent years with a growing demand for practitioners in a variety of industries. With the ever increasing growth in data generation and collection, industries now rely heavily on appropriate analysis. Consequently, data science and analytics has become a core component of both the public and private sectors who seek a competitive advantage.

The MSc in Data Science and Analytics at CIT, a collaboration between the Department of Mathematics and the Department of Computer Science, aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. This collaborative programme provides graduates with a thorough grounding in the theory of data science, while allowing graduates to become highly proficient in the technical and practical skills of a modern data scientist. The course will equip graduates with the skills to gather and store data, process data using advanced statistics and techniques such as machine and deep learning and deliver new insights and knowledge from the collected data.

The programme has been designed with industry experts to ensure that in the first two semesters graduates develop core skills in programming, database management, statistical modelling, time series analysis, machine learning, and data visualisation and interpretation of results. The industry based capstone project in Semester 3 is a key component of this MSc programme.

Intakes

  • Sep Deadline: May

Application Processing Time in Days: 20

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Admission Requirement / Eligibility Criteria

All applicants whose first language is not English must provide evidence of English language proficiency. English language tests must be undertaken no more than two years prior to the start of a programme. 
 
 IELTS (Academic)
At least 6.0 with no section below 5.5
 
Some programmes require a highter score at least 6.5 with no section below 6.0. Please check specific course requirements.
 
 TOEFL
At least 80 - with minimum scores: Listening- 17; Reading - 18; Speaking – 20; Writing - 17
 
Some programmes require a higher score at least 90  - with minimum scores: Listening - 23; Reading - 21; Speaking - 22; Writing - 23. Please check specific course requirements.
 
 Pearson PTE (Academic)
At least 59 with no section below 56
 
Some programmes require a higher score at least 63 with no section below 59. Please check specific course requirements
 
 Cambridge English Qualifications:
B2 First (FCE) or C1 Advanced (CAE)
 
At least 169 with no section below 162
Some programmes require a higher score at least 176 with no section below 169. Please check specific course requirements.
 
 C2 Proficiency (CPE)
 
At least 180 with no section below 162
 
Some programmes require a higher score at least 180 with no section below 169. Please check specific course requirements.