關於課程
Get a degree that's recognised worldwide and contribute to knowledge in your field. A Master of Science (MSc) will develop your technical, laboratory and academic writing skills to prepare you for a career in science.
The MSc will take you between two and two and half years of full-time study or up to four years part time. In the first year of your MSc you'll take several courses related to your specialist subject area. Next, you'll carry out in-depth supervised research for 12–15 months and write a thesis. During your studies you might also author publications for peer-reviewed journals.
To do an MSc you'll need a Bachelor's degree in an appropriate field, with an average grade of B plus or higher in your subject area. You may also be able to qualify for entry if you have appropriate work or other experience.
Take your knowledge and skills to the next level and become an expert in the field of data science. Gain an in-depth understanding of working with structured and unstructured data and how to use a fusion of mathematics, computer science, statistics, artificial intelligence, and machine learning to solve real-world problems.
Gain a deeper understanding of working with large data sets and how to extract valuable insights to inform high-level decisions and opportunities within an organisation.
The MSc will take you between two and two and half years of full-time study or up to four years part time. In the first year of your MSc you'll take several courses related to your specialist subject area. Next, you'll carry out in-depth supervised research for 12–15 months and write a thesis. During your studies you might also author publications for peer-reviewed journals.
To do an MSc you'll need a Bachelor's degree in an appropriate field, with an average grade of B plus or higher in your subject area. You may also be able to qualify for entry if you have appropriate work or other experience.
Take your knowledge and skills to the next level and become an expert in the field of data science. Gain an in-depth understanding of working with structured and unstructured data and how to use a fusion of mathematics, computer science, statistics, artificial intelligence, and machine learning to solve real-world problems.
Gain a deeper understanding of working with large data sets and how to extract valuable insights to inform high-level decisions and opportunities within an organisation.
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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: 4 Trimester(s)
- 費用: 無法取得
In學年take | 位置 |
---|---|
Trimester 1 (February), 2024 | Wellington |
Trimester 2 (July), 2024 | Wellington |
Trimester 1 (February), 2025 | Wellington |
Trimester 2 (July), 2025 | Wellington |
Trimester 1 (February), 2026 | Wellington |
Trimester 2 (July), 2026 | Wellington |
如何申請
Entry requirements for 威靈頓維多利亞大學
A Bachelor?s degree or equivalent in a relevant subject with at least B average or extensive professional experience.
IELTS: minimum overall score of 6.5 with no sub-score below 6.0
TOEFL: minimum score of 90 for the internet-based test with a minimum of 20 in writing
English language requirements
托福(TOEFL iBT)總分: 90.0
最後申請期限:
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