The University of Auckland｜Master of Data Science。
下面的项目简介、项目特色、入学要求与申请截止均取自该校该项目官网页面；该项目官网未公布学制、学费等结构化参数，缺的项就留空，不拿本校均值顶上。
QS 2027 · 第 67 位
学位 硕士 · 入学 2027 Semester One – 1 March 2027 Semester Two – 19 July
📖 项目简介
The ability to turn data into information, knowledge and innovative products is a skill in high demand within industry. By completing a strong core of Computer Science and Statistics courses, you will gain a unique combination of skills in Data Science, enabling you to comprehend, process and manage data effectively to extract value from it. Graduates will be critical, reflective practitioners able to pursue professional goals or further postgraduate study.
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.
Students who have majored in Data Science, or a combination of Computer Science and Statistics, should apply for the 180-point taught masters.
Programme structure
Entry requirements
Fees and scholarships
Key dates
以上为奥克兰大学该项目官网项目页原文（英文），本站未做改写或补写。
📋 项目参数
数据科学硕士
Master of Data Science
硕士
入学时间2027 Semester One – 1 March 2027 Semester Two – 19 July
🎯 入学要求
官网给出的录取条件原文，含学校统一要求与该项目的附加要求；语言成绩的具体分数线请到项目官网核对。
Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.
Study option Taught 180 points Grade required GPA Grade Point Average 4.0 Bachelor of Science in Data Science or a Bachelor of Science with a major in Computer Science and a major in Statistics
Study option Taught 240 points Grade required GPA Grade Point Average 4.0 Bachelor of Science
Calculate your Grade Point Average (GPA)
You must have completed either:
A Bachelor of Science in Data Science from this University, with a Grade Point Average of 4.0 or higher in 60 points above Stage II.
OR
A Bachelor of Science with a major in Computer Science and a major in Statistics, with a Grade Point Average of 4.0 or higher in 60 points above Stage II.
You must have completed a Bachelor of Science in a similar field with a GPA of 4.0 in 60 points at Stage lll or above, and passed COMPSCI 130, MATHS 108, and STATS 101, or equivalent prior study.
If you do not meet the above entry requirements, but have other relevant experience and think you would be successful in postgraduate study, please contact us to discuss alternative pathways into our programmes.
Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.
Study option Taught 180 points Grade required GPE Grade Point Equivalent 4.0 An undergraduate science degree
Study option Taught 240 points Grade required GPE Grade Point Equivalent 4.0 An undergraduate Science degree
Qualification IELTS Academic International English Language Testing System Score required 6.5 No bands less than 6.0 See alternative English language requirements
Calculate your Grade Point Equivalent (GPE)
You must have completed an undergraduate science degree at a recognised university (or similar institution) in a relevant discipline with a Grade Point Equivalent of 4.0.
Relevant disciplines include data science, or a mixture of computer science and statistics. A minimum amount of study in a relevant discipline is required - this would be at least a major, field of study, or approximately 30 percent of your degree, including a mix of introductory and advanced courses.
该项目为硕士，官网介绍：The ability to turn data into information, knowledge and innovative products is a skill in high demand within industry.
奥克兰大学数据科学硕士什么时候入学？
该校官网公布 2027 Semester One – 1 March 2027 Semester Two – 19 July 入学。
奥克兰大学数据科学硕士的入学要求是什么？
Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.