University
University of AucklandMaster of Data Science MDataSci
This course is available
On-Campus, Online
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
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