關於課程
The ability to turn data into information, knowledge and innovative products is a skill in high demand within industry. By completing a strong core of Computer Science and Statistics courses, you will gain a unique combination of skills in Data Science and be able to comprehend, process and manage data effectively to extract value from it. Graduates will be critical, reflective practitioners able to pursue professional goals and further postgraduate study. We also offer the Master of Data Science (MDataSci) as a 240-point taught masters as a March intake only. This is suitable for students who have a background in either Computer Science or Statistics, but not both. Students who have majored in Data Science, or a combination of computer science and Statistics, should apply for the 180-point taught masters. With the current demand for continued professional development in this area, this advanced qualification will help you to develop your data science skills to become well-positioned to pursue employment in the data science industry.
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Entry requirements for 奧克蘭大學
Taught 120 points - An undergraduate science degree and GPE - 4.5
IELTS (Academic) - Overall score of 6.5 and no bands below 6.0
Internet-based TOEFL (iBT) - Overall score of 90 and a written score of 21
Paper-based TOEFL - Overall score of 575 and an Essay (TWE) of 4.5
English language requirements
托福(TOEFL iBT)總分: 90.0
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