Overview
The Data Science programme at the University of Auckland provides students with the advanced technical expertise required to transform complex datasets into actionable knowledge. This postgraduate degree bridges the gap between theoretical statistics and practical computing to address the global demand for data expertise. Graduates emerge as reflective practitioners capable of leading innovation in various industrial and research sectors.
Why Data Science at the University of Auckland?
Studying at this institution allows students to benefit from a curriculum that integrates high-level Computer Science and Statistics. The university provides a robust academic environment where learners gain a unique combination of skills to process, manage, and extract value from information. With options for both 180-point and 240-point pathways, the programme accommodates those with diverse academic backgrounds in science and technology.
Tuition Fee Breakdown
- International fee: NZD 55214 per year
- National fee: NZD 11545 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum focuses on core competencies in data processing and analytical methodology. Modules may include:
- Computer Science
- Statistics
- Data Science
- Mathematics
Careers with Data Science
Graduates are well-positioned to enter the rapidly expanding data industry, occupying roles that require sophisticated analytical capabilities. The programme prepares students for professional success in technical and strategic positions across the private and public sectors. Potential career paths include:
- Data Scientist
- Machine Learning Engineer
- Big Data Solutions Architect
- Business Analyst
- Data Mining Engineer
- Digital Product Designer
Furthermore, the M.Sc. serves as a strong foundation for those wishing to pursue higher research degrees, such as a Doctor of Philosophy, to further specialise in the field of data analytics.
Programme Structure
Courses include:
- Big Data Management
- Datamining and Machine Learning
- Advanced Regression Methodology
- Advanced Data Science Practice
- Topics in Official Statistics
- Statistical Inference
Key information
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
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Credits
180 or 240
Delivered
Campus Location
- Auckland, New Zealand
Disciplines
Data Science & Big Data View 11 other Masters in Data Science & Big Data in New ZealandWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
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Other requirements
General requirements
- 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 4.5.
- 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.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Auckland and/or in New Zealand, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents55214 NZD / year≈ 55214 NZD / year -
Domestic Applies to you
Applies to youCitizens or residents11545 NZD / year≈ 11545 NZD / year
Additional Details
International students:
- NZ$55,214 – $55,484
Living costs
Auckland
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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