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Master of Data Science

Why study the Master of Data Science?
In today’s world of data-driven decision making, the ability to analyse and interpret data is essential across almost every industry.

Competence in data analytics, computing and machine learning enables professionals to uncover insights, make informed decisions, and drive innovation. As organisations increasingly rely on data to guide strategy, these skills are in high demand—not just in tech, but also in business, health, education, science, and more.

This programme is designed both for students who may not have an undergraduate background in data analytics, computing and artificial intelligence but are wanting to upskill in these areas to complement their existing knowledge, and for students who have the undergraduate background and want to develop their knowledge further.

The Master of Data Science can be completed without endorsement, or with one of the following:

Artificial intelligence
Business analytics
Geographic information systems
Health analytics
Mathematics
Statistics modelling

Campus Information

Hamilton campus

Our main campus is located in the vibrant, multicultural city of Hamilton, with outdoor activities, shopping malls and eateries only a short drive away. On campus, you’ll find a new state-of-the-art Student Centre, sporting facilities, cafes and eateries, car parking, subsidised bus services and more.

Intakes

March
July

Application Processing Time in Days: 30

Application Process

More Information Required

30 Days

GTE/Possible Interview call from Institution

30 Days

Visa Process

10 Days

Minimum English Language Requirements

English Level Description	IELTS (1.0 -9.0)	TOEFL IBT (0-120)	TOEFL CBT (0-300)	PTE (10-90)
Expert	9	120	297-300	86-90
Very Good	8.5	115-119	280-293	83-86
Very Good	8	110-114	270-280	79-83
Good	7.5	102-109	253-267	73-79
Good	7	94-101	240-253	65-73
Competent	6.5	79-93	213-233	58-65
Competent	6	60-78	170-210	50-58
Modest	5.5	46-59	133-210	43-50
Modest	5	35-45	107-133	36-43
Limited	4	32-34	97-103	30-36
Extremely Limited	< 4	< 31	< 93	< 30

Job Opportunity Potential

Big data engineer
Business analyst
Data analyst
Data Scientist
GIS Analyst

PSW Opportunity

During study, all students on a student visa can work up to 20 hours per week during semester and full time during vacations.
After completing Level 7 Bachelor’s Degree or Higher Qualification, a student will get a three years open post-study work visa.
After completing Level 8 Post Graduate courses of 1 year, students get 1 year PSW.

Admission Requirement / Eligibility Criteria

Entry to B trimester requires students to have a background in coding and statistics and is at the University's discretion. Students entering in B trimester will still be required to complete the full 180 point programme, and need to select any two additional papers from any papers listed for Data Science (see list under the degree planner for the MDSc without endorsement) to replace DATAX500 and DATAX503.

Endorsements in AI and Mathematics will require prior tertiary study in numeracy and/or programming. These will be assessed on a case-by-case basis.

Students selecting no endorsement, Business Analytics, GIS or Health Analytics will be accepted with the equivalent of a B grade in the final year from any bachelor's degree.

An endorsement in Business Analytics is only available for students entering in A trimester.

For More Information Please Contact To Our PSA Counselor.

University of Waikato

Hamilton , North Island, New Zealand ,New Zealand