Master of Science in Data Analytics
關於課程
The programme aims to respond to the ever-growing demand across industries for data analytics specialists involving skills in technology, programming for data analytics, data analysis with related context, graph technology considered to be effective means to empower the development of sophisticated AI applications. Additionally, the programme learning outcomes focus on the learner’s ability to meet requirements and deliver against business intelligence goals of organisations they will work in and allow for all of these outcomes to be demonstrated from an academic perspective but also to have a portfolio piece of work that can be shared with current or prospective employers.
Career Opportunities
The rise in employment opportunities in the area of data science is a global trend. Data Science is set up as a priority area of focus in the discipline of ICT for 2018-2023 in particular in automation and digitalisation including Data Analytics, Management, Robotics and Artificial Intelligence (including Machine Learning), Digital Platforms, Content and Applications etc.
Graduates from Master of Science in Data Analytics programme have the potential to excel in roles such as Data Analyst, Data Scientist, AI Manager, IT Manager, Data Analytics Managers in a wide variety of industries.
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開始日期及學費
如何申請
Entry requirements for 都柏林商學院
A minimum Second Class Level 8 Honours Degree (2.2) in a cognate discipline from a recognised third level institution or equivalent. In addition, for applicants whose first language is not English and who have not undertaken their undergraduate degree through English the following is required:The minimum requirement for a non-native English speaker is greater or equal to B2+ in the Common European Framework of Reference for Languages for admission. For applicants whose first language is not English, the minimum English language requirement for entry to the programme is IELTS score 6.5 (or equivalent).
English language requirements
托福(TOEFL iBT)總分: 60.0
最後申請期限:
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