Master (Business Data Science)
Field of Study:
$41,013 /Yr
The at ? primary focus is to equip you to become a practitioner, allowing you to meet the needs of industry, and solve the data problems of the world. However, there will also be an alternative path that will focus on preparing students for research in the area (e.g. going on to do a masters by research or PhD).
The proposed degree is inherently multidisciplinary, featuring Information Science and Marketing, which gives the degree a strong business focus; as well as contributions from Computer Science and from Statistics.
Once you have completed the MBusDataSc you will have developed an advanced knowledge of data science. You will understand how data analysis can be used in business, including being able to identify opportunities to use data, be aware of ethical and privacy issues and possible mitigations, and be able to select appropriate means of presenting the results of analysis. You will be able to select and apply techniques to manage and analyse large collections of data.
Careers
Universities around the world can hardly produce data scientists fast enough. To meet demand the United States alone will need to increase the number of graduates with skill in handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.?
The average salary in the USA for a qualified Data Scientist is $90,000, and more than $100,000 for those with prior experience.
Tuition Fees
| Year | 1st Year Fees |
|---|---|
| Tuition Fees | $41013 (NZD 68355) |
Other Expenses
| Head | Avg Cost Per Year |
|---|---|
| Rent | $7718 (NZD 12864) |
| Food | $2880 (NZD 4800) |
Previous Year Tuition Fees
| Year | 1st Year Fees |
|---|---|
| 2023 | $35772 (NZD 59620) |
Important Dates
Rolling admissions
Scores Required
Required Document List
- Official transcripts
- English language requirements
- Resume
- SOP


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Career and Placement after Course
Once you have completed the MBusDataSc you will have developed an advanced knowledge of data science. You will understand how data analysis and modelling can be used in business, be able to identify opportunities to use data, be aware of ethical and privacy issues and possible mitigations, and be able to select appropriate means of presenting the results of analysis. You will have the ability to select and apply techniques to manage and
analyse large collections of data.
Programs Comparison
| ranking | # 251 for Business by Times Higher Education 2025 # 351 for Business by QS World University 2025 | # 201 for Sciences by Academy Ranking of World Universities 2022 |
| application | - | - |
| exam scores | Duolingo - 120/160IELTS - 6.5/9PTE - 58/90TOEFL - 95/120 | IELTS - 6.5/9TOEFL - 90/120 |
| cost to study | Total Cost (Tuition + Living) -USD 17996.4 | Total Cost (Tuition + Living) -USD 31551 |
| application dates | Apr 30, 2024 (Application Deadline For 2024 Intake) | Dec 8, 2025 (Application Deadline For Semester One 2026 Intake) Jun 8, 2026 (Application Deadline For Semester Two 2026 Intake) |
| why to opt? | The MBusDataSc primary focus is to equip you to become a practitioner, allowing you to meet the needs of industry, and solve the data problems of the world. However, there will also be an alternative path that will focus on preparing students for research in the area (e.g. going on to do a masters by research or PhD). The proposed degree is inherently multidisciplinary, featuring Information Science and Marketing, which gives the degree a strong business focus; as well as contributions from Computer Science and from Statistics. Once you have completed the MBusDataSc you will have developed an advanced knowledge of data science. You will understand how data analysis can be used in business, including being able to identify opportunities to use data, be aware of ethical and privacy issues and possible mitigations, and be able to select appropriate means of presenting the results of analysis. You will be able to select and apply techniques to manage and analyse large collections of data. | - |
| Admission Criteria/Better to Have | Bachelors degree in computer science or related field | - |
| - | Read Full Comparison |
College Student Profiles
Scholarship Grants & Financial Aids
| Name | Scholarship Per Student | Level of Study | Type | |
|---|---|---|---|---|
| VueVille Future Technology Scholarship | Scholarship per student$ 600/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
| Bharat Petroleum Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
| Forktip Women’s- Innovation Scholarship | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeCollege-Specific | |
| Axol Science Scholarship | Scholarship per student$ 1,200/Yr$2,000 | Level Of StudyBachelor | TypeCompany-Sponsored | |
| New Zealand Government Scholarships | Scholarship per student$ 1,074/Yr$1,790 | Level Of StudyBachelor | TypeMerit-Based |










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