Master of Science [M.S] (Data Science)
Field of Study:
NZ$50,810 /Yr
Important Dates
Event | Application Date |
---|---|
Application Deadline For 2025 Intake Semester 1 | Dec 8, 2024 |
Application Deadline For 2025 Intake Semester 2 | Jul 4, 2025 |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $30486 (NZD 50810) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
On-Campus Expenses | $7200 (NZD 12000) |
Off-Campus Expenses | $6372 (NZD 10620) |
Total Cost | $13572 (NZD 22620) |
Total fees is $48622
Previous Year Tuition Fees
Year | 1st Year Fees |
---|---|
2024 | $31705 (NZD 52842) |
2023 | $29173 (NZD 48621) |
2021 | $27915 (NZD 46525) |
Eligibility & Entry Requirement
Applicant must have completed either:
- A Bachelor of Science in Data Science from this University, with a Grade Point Average of 4.5 or higher in 75 points above Stage II.
- A Bachelor of Science with a double major in Computer Science and Statistics from this University, with a Grade Point Average of 4.5 or higher in 75 points above Stage II.
English language requirements are:
- An overall score of 6.5 and no bands below 6.0 is required in IELTS (Academic).
- An overall score of 90 and a writing score of 21 is required in Internet-based TOEFL (iBT).
- An overall score of 68 and a writing score of 21 is required in Paper-based TOEFL.
- A minimum grade of B- is required in the University of Auckland Foundation Certificate in English for Academic Purposes (FCertEAP), if students get admission through it.
- A minimum grade of B- is required in the University of Auckland English Pathway for Postgraduate Studies (EPPS), if students get admission through it.
- An overall score of 58 and no PTE Communicative score below 50 is required in the Pearson Test of English (PTE) Academic.
Indian Student Eligibility:
Indian students are eligible to apply if they meet the following eligibility criteria:
- Completed both a bachelor’s (3 years) degree.
- Or, completed a bachelor’s degree requiring 4-years of study (e.g., B.Pharm., M.B.B.S., B.Tech., B.Eng., or B.Arch).
Submission of IELTS scores is compulsory for this program, however, students may submit a PTE score too instead of that.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.
Scores Required
Required Document List
- Transcript: Students must submit the official marks statements or transcripts that are provided by the college.
- Certificates: Certificates like High School or University/College Certificates are to be submitted of education qualification.
- Resume/CV: Outline of academic achievements and/or awards, publications, relevant work, and volunteer experience.
- Test Results: Provide proof of English proficiency, if English is not the first language in the student country, as proof of IELTS/TOEFL result scores is to be submitted.
Similar Programs
Program | Important Date | Total Fees | Median Exams Score |
---|---|---|---|
USD 24,956 /Yr NZD 41,594 /Yr |
| ||
USD 24,716 /Yr NZD 41,193 /Yr |
| ||
Application Deadline For February 2025 Intake (30th Nov 2024) | USD 26,220 /Yr NZD 43,700 /Yr |
| |
Application Deadline For 2025 Intake (8th Dec 2024) | USD 37,260 /Yr NZD 62,100 /Yr |
| |
Application Deadline For 2025 Semester 2 Intake (1st May 2025) | USD 39,690 /Yr NZD 66,150 /Yr |
|
Do you think the Dates are wrong ? Report Here
Career and Placement after Course
With the current demand for continued professional development in this area, this advanced qualification will help you to develop your data science skills to become well-positioned to pursue employment in the data science industry.
Jobs related to this programme
- Big data solutions architect
- Business analyst
- Data mining engineer
- Data scientist
- Digital product designer
- Machine learning engineer
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
University of Auckland International Student Excellence Scholarship | Scholarship per student$ 6,000/Yr$10,000 | Level Of StudyBachelor | TypeCollege-Specific | |
ASID Foundation Legacy Scholarships | Scholarship per student$ 2,400/Yr$4,000 | Level Of StudyBachelor | TypeMerit-Based | |
Gyandhan Scholarship | Scholarship per student$ 724/Yr$1,207 | Level Of StudyMaster | TypeMerit-Based | |
New Zealand Government Scholarships | Scholarship per student$ 1,074/Yr$1,790 | Level Of StudyBachelor | TypeMerit-Based | |
QS scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
VueVille Future Technology Scholarship | Scholarship per student$ 600/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based |
Programs Comparison
application | - | - | - | - |
why to opt? | 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 and be able to comprehend, process and manage data effectively to extract value from it. Graduates will be critical, reflective practitioners able to pursue professional goals and further postgraduate study. | 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. | Data is “the new oil” of the 21st century. Big data and data science are revolutionising many fields—from science and engineering to economics, the tech sector, and digital humanities. This Master of Data Science places you at the forefront of this new field. This program gives you the knowledge and skills to discover patterns and generate insights from complex datasets. The flexible program structure lets you customise your study to the areas you care about. You’ll be taught by international research leaders in data science and machine learning. Finally, you’ll apply your skills in a research project and data science industry internship, to launch you into your next career | Data science is a new profession emerging along with the exponential growth in size and availability of 'big data'. A data scientist provides insight into future trends from looking at past and current data. Data science is an essential skillset in a world where everything from education to commerce, communication to transport, involves large-scale data collection and digitalisation. This conversion Master's is designed to accommodate students from a range of backgrounds (not just those with Mathematics, Statistics, and Computer Science majors), who want to enhance or build their data science capabilities and combine these with the skills and knowledge they bring from their previous studies. So long as you are data-hungry and industry-aware; this degree can add to your employability and career prospects. |
exam scores | GRE - 299/340IELTS - 6.5/9PTE - 58/90TOEFL - 90/120 | IELTS - 6.5/9PTE - 58/90TOEFL - 95/120 | IELTS - 6.5/9PTE - 58/90TOEFL - 79/120 | IELTS - 6.5/9PTE - 58/90TOEFL - 90/120 |
Admission Criteria/Better to Have | Bachelor of Science in Data Science or a Bachelor of Science with a major in Computer Science and a major in Statistics | Bachelors degree in computer science or related field | Bachelors degree in a relevant field with Mathematics subject | Potential students can come from a variety of undergraduate backgrounds. You will need a B Grade Point Average in 300-level bachelor's degree courses, or have evidence of achievement at postgraduate level. |
cost to study | Total Cost (Tuition + Living) -USD 29173.2 | Total Cost (Tuition + Living) -USD 17996.4 | Total Cost (Tuition + Living) -USD 29100 | Total Cost (Tuition + Living) -USD 30300 |
application dates | Dec 8, 2024 (Application Deadline For 2025 Intake Semester 1) Jul 4, 2025 (Application Deadline For 2025 Intake Semester 2) | Apr 30, 2024 (Application Deadline For 2024 Intake) | Dec 20, 2023 (Application Deadline) | Dec 8, 2024 (Application Deadline For 2025 Intake) |
- | Read Full Comparison | Read Full Comparison | Read Full Comparison |
Comments