關於課程
After all, we're creating more than 2.5 exabytes of data every day. Someone needs to make sense of it all.
You'll enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline.Core subjects will give you a solid grounding in data science, so you’ll have the technological and analytical abilities that are vital for managing and interpreting large, complex collections of data.
Beyond the core subjects, elective subjects give you the freedom to dive deeper into a specialist area of data science.
You’ll leave the course with a major data science project to feature in your CV. In the capstone project, you’ll apply data science tools to a practical problem, working individually or as part of a team to showcase your skills.
We know that you’ll need more than technical capability to succeed in the workplace. To round out your skill set, you can choose from professional skills subjects, such as scientific communication, so you can start your data science career with confidence.
If you’d like to gain more real-world experience, you can choose to complete an internship in a science or technology-related workplace for course credit.
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開始日期及學費
如何申請
Entry requirements for 墨爾本大學
An undergraduate degree with a major in a relevant discipline: computer science, data science or statistics, with a Weighted Average Mark (WAM) of at least 65% AND 12.5 points (one subject) of university-level computer science subjects (or equivalent) with content focused on computer programming AND 25 points (two subjects) of first-year mathematics and statistics subjects, including MAST10006 Calculus 2 (or equivalent).
English language requirements
托福(TOEFL iBT)總分: 79.0
最後申請期限:
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關於墨爾本大學
CRICOS碼:092791B
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