Master of Data Science - 093313B
關於課程
This interdisciplinary field of data science combines computer science with mathematical statistics and domain expertise to manage and analyse data. As a data scientist, you'll develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. Data science also puts an emphasis on the specialised computational skills required to manage and analyse big data from sources such as massive sensors, mobile and transaction data.
Through data science, businesses gain a competitive edge, governments deliver more targeted services and research teams make new discoveries.
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開始日期及學費
學費僅供參考。立即與我們的留學顧問聯繫了解最新資訊。
- 課程總長: 2 Year(s)
- 費用: 無法取得
In學年take | 位置 |
---|---|
Semester 2 (July), 2024 | Melbourne |
Semester 1 (March), 2025 | Melbourne |
Semester 2 (July), 2025 | Melbourne |
Semester 1 (March), 2026 | Melbourne |
Semester 2 (July), 2026 | Melbourne |
Semester 1 (March), 2027 | Melbourne |
Semester 2 (July), 2027 | Melbourne |
Semester 1 (March), 2028 | Melbourne |
Semester 2 (July), 2028 | Melbourne |
如何申請
Entry requirements for 皇家墨爾本理工大學
An Australian bachelor degree in computing, science, engineering, health, or statistics with a GPA of at least 2.0 out of 4.0, or equivalent.
OR
You may also be considered if you have an Australian bachelor degree with a GPA of at least 2.0 out of 4.0, or equivalent and, relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum three years’ of current, relevant work experience or professional practice as a programmer, statistician or equivalent.
IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0)
TOEFL (Internet Based Test - IBT): minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing)
English language requirements
托福(TOEFL iBT)總分: 79.0
最後申請期限:
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評價與排名
關於皇家墨爾本理工大學
CRICOS碼:093313B
近期活動
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