Data Science in New Zealand: An Ultimate Guide

Data Science in New Zealand may be a 1.5 to 2-year long full-time program. The common course fee for this degree ranges between 19.3 lakh to 42 lakh INR. Only 3 universities in New Zealand offer courses in Data Science. It’s available as a Master of Data Science, Master of Business in Data Science, and Master of Professional Studies in Data Science.

·        An undergraduate degree in fields of science like mathematics, physics, or engineering science is required to use for universities offering Masters in Data Science in New Zealand.

·        The entry-level salary with a degree in Data Science in New Zealand is 26 lakhs INR every year.

·        Some of the duty roles offered to graduates of Data Science in New Zealand are Data Scientist, Data Analyst, Statistician, etc.

In this article, let us look at:

1. Why Study Masters in Data Science in New Zealand?
2. Top Universities
3. Admission Process
4. Cost
5. Scholarships

1. Why Study Masters in Data Science in New Zealand?

Here’s why you ought to consider studying MS in Data Science in New Zealand:

Three universities offering Masters in Data Science in New Zealand rank among the highest 350 universities of the globe, in line with THE Ranking of 2020.

Graduate Employability Ranking 2020 of those three universities, where institutions are ranked on the idea of placement opportunities available to their alumni, are tabulated below:

·        Qualification in New Zealand is recognized by NZQF (New Zealand Qualification Authority) which makes guaranteed to maintain the standard level of education. This provides international recognition to the degree.

·        An up-gradation from bachelor’s to masters in data science in New Zealand increases the salary of a knowledge Analyst by 39% whereas, for other professions, it’s only 29%.

2. Top Universities

Given below are the three universities that offer courses in Data Science in New Zealand together with their THE Ranking:

3. Admission Process

Students can apply to New Zealand universities in January and July, with the exception if some universities offering multiple intakes in September and November. Ideally, international students should start their admission process around six months before the application deadline.

Admission requirements for universities offering Masters in Data Science in New Zealand are provided below:

Admission Requirements for the University of Auckland Masters in Data Science

For Master of Data Science

·        Bachelor of Science degree in data science or the relevant field

·        Minimum 4.5 GPA or 70% in an undergraduate degree

·        Minimum IELTS score of 6.5 with no band but 6.0 as an indication of English proficiency

For the Master of Professional Studies in Data Science

Must have one among the subsequent in a relevant field:

·        4-year bachelors degree

·        3-year bachelors degree and 1-year of a masters degree

·        Bachelors degree and three years of professional experience

·        Minimum 3.0 GPA or 60% at the undergraduate level

·        Minimum IELTS score of 6.5 with no band but 6.0 as an indication of English proficiency

Admission Requirements for University of Otago Masters in Data Science

·        A bachelors degree in relevant field

·        Minimum 6.0 GPA or 75% at the undergraduate level

·        Minimum IELTS score of 6.5 with no band but 6.0 as a signal of English proficiency

·        Applicants without a relevant bachelors degree having practical experience in data science also are considered

Admission Requirements for University of Canterbury Masters in Data Science

·        A bachelors degree in relevant field

·        Minimum 6.0 GPA or 75% at the undergraduate level

·        Approval from the tutorial Dean of Science

·        Minimum IELTS score of 6.5 with no band but 6.0 as a symbol of English proficiency

4. Cost

Cost of studying Master of Data Science in New Zealand is often divided into three parts: Pre-departure Costs, Tuition Fees, and price of Living.

Pre Departure Cost

Pre-departure expenses include these factors for studying Data Science masters in New Zealand, visa fees, airfare, etc. a number of these are provided below:

·        Visa Fees

·        IELTS Fee

·        TOEFL Fee

·        PTE Fee

·        Application Fee

Cost of Living in New Zealand

Living cost in New Zealand is 126% above India. Cities like Wellington, Auckland, and Queenstown will be pretty expensive. International students need a comprehensive budget to manage their expenses. Cost of living varies from one city to a different.

5. Scholarships

New Zealand offers scholarships to international students in the slightest degree levels of study. Few of those scholarships are university-specific. A number of them are funded by the New Zealand Government for data science course NZ.

Below mentioned are a number of the scholarships that a student of Master of Data Science in New Zealand can apply for are as follows:

The New Zealand Government Ministry of Foreign Affairs and Trade funds a bunch of scholarships meant for college kids in undergraduate and postgraduate studies. These scholarships usually cover tuition fees, return economy travelling, an institution allowance upon arrival in New Zealand, medical insurance, basic living costs, etc.

Over the last decade, our Global focus has become more and more data-oriented. As a result, the demand for data science personals has grown tremendously. Statistics predict the increasing demand for data scientists as well as a scarcity of adequate experts during this field will create a further 11.5 million job openings by 2026.

Students can work for 12 months with any employer after their studies live through in New Zealand. If one gets a relevant job per the specialty of the coed, one can apply for a Post Study Work Visa (employee assisted). Also, New Zealand is one in every of the highest 20 countries within the world to supply a wonderful education to its students. To answer your question, yes pursuing your masters in data science is worthwhile and can eventually pay off.

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