University
University of AucklandMaster of Data Science MDataSci
This course is available
On-Campus
Level of Study
Master's Degree
Summary
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.
Entry criteria
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
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.
- 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.
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