| Program start date | Application deadline |
| 2026-03-02 | - |
| 2026-07-20 | - |
| 2027-03-02 | - |
| 2027-07-20 | - |
Program Overview
Master of Data Science MDataSci
The Master of Data Science MDataSci is a postgraduate program designed to equip students with the skills to turn data into information, knowledge, and innovative products. By completing a strong core of Computer Science and Statistics courses, students will gain a unique combination of skills in Data Science, enabling them to comprehend, process, and manage data effectively to extract value from it.
Programme Overview
The ability to turn data into information, knowledge, and innovative products is a skill in high demand within industry. Graduates will be critical, reflective practitioners able to pursue professional goals or further postgraduate study.
Programme Structure
The Master of Data Science MDataSci is offered as a 180-point or 240-point taught masters program. The 240-point program 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 Requirements
Minimum Programme Requirements
- 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
Further Programme Requirements
- 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.
- A Bachelors degree in an IT-related field with a GPA of 4.5. 60 points must be from courses at Stage III.
- 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.
Fees and Scholarships
2026 Fees
- Domestic students: NZ$11,545.20*
- International students: NZ$55,214 $55,484* Fees are set in advance of each calendar year and will be updated on this website. Fees are inclusive of 15% GST, but do not include the Student Services Fee, course books, travel and health insurance, or living costs.
Key Dates
Application Closing Dates
- Semester One 2026: 8 December 2025
- Semester Two 2026: 8 June 2026
Career Opportunities
With the current demand for continued professional development in Data Science, this advanced qualification will help you to develop your skills to become well-positioned to pursue employment in the data science industry. Jobs related to this program include:
- Business analyst
- Big data solutions architect
- Data mining engineer
- Data scientist
- Digital product designer
- Machine learning engineer
Further Study Options
- Doctor of Philosophy
