Faculty of Science Master of Data Science دراسة The University of Melbourne في

Master of Data Science

أستراليا

6

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If they meant that jobs in data science are increasing dramatically, that data scientists can work in fields as diverse as health, retail or ecology, and that data scientists are commanding high salaries, then they were spot on.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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Faculty of Science

CRICOS

092791B

خيارات الدراسة

دوام كامل (2 أعوام )

رسوم التسجيــل
A$61,440.00 (US$ 40,490) سنوياً

* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة

تاريخ البدء

مارس 2027

مكان عقــد الدورة

Parkville Campus

Grattan Street,

Parkville,

Victoria,

3010, Melbourne, Australia

شروط القبول

للطلاب الدوليين

To be considered for entry, you must have completed: 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 percent English language requirements:

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