Is New Zealand Good for Data Science?

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Is New Zealand Good for Data Science?

Three universities offering Masters in Data Science in New Zealand rank among the top 350 universities of the world, according to THE Ranking of 2020.

Is New Zealand a good option for Masters?

New Zealand offers excellent doctoral research opportunities and your Masters will be excellent preparation for these. Better yet, its universities don’t charge any additional fees to international PhD students.

What do you learn in Masters of data science?

Data science requires mastering programming languages like Python, R programming and others as well as methodologies such as machine learning, data wrangling and data visualization.

How much does a data analyst make in New Zealand?

Pay for data analysts varies depending on skills and experience. Data analysts usually earn between $64,000 and $110,000 a year. Data scientists can earn between $105,000 and $133,000.

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How to become a data scientist in New Zealand?

An undergraduate degree in fields of science like mathematics, physics, or computer science is required to apply for universities offering Masters in Data Science in New Zealand. The entry-level salary for an individual with a degree in MS in Data Science in New Zealand is 26 lakhs INR per annum.

What is the salary of MS in Data Science in New Zealand?

The entry-level salary for an individual with a degree in MS in Data Science in New Zealand is 26 lakhs INR per annum. Some of the job roles offered to graduates of Masters in Data Science are Data Scientist, Data Analyst, Statistician, etc.

Why study data science at the University of Sydney?

Data Science is a rapidly growing field. Our graduates have the right foundation to manage and analyse big data, driving innovation in organisations across all industries. The last decade has seen an explosion in the amount of data available.

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Do you offer a Master of data science (mdatasci)?

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.