Victoria University of Wellington
Master of Data Science – MDataScWellington, New Zealand
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
30 Nov 2025
EARLIEST START DATE
Jul 2025
TUITION FEES
NZD 42,900 / per year
STUDY FORMAT
On-Campus
Key Summary
Introduction
Expand your expertise with the Master of Data Science, and apply a fusion of mathematics, computer science, statistics, artificial intelligence, and machine learning to solve real-world problems.
Interpret the Rapidly Changing World
Fifteen years ago, the role of data scientist was unheard of. Today, it’s an established role in business and government departments around the world. The nature of the role is constantly shifting as data sources, software tools, and techniques change. Equip yourself with the skills and knowledge to move and adapt to these changes.
Our graduates leave with an advanced understanding of techniques in data science, including machine learning and statistical methods and their uses in the world of big data. You will be able to critically analyse data requirements and sources in a variety of areas of application from the sciences, humanities, and social sciences to business and government.
Contribute to Society
Data Science can assist equitable social and economic outcomes through the interpretation and dissemination of information, enabling communities to learn about themselves and others.
You'll learn about the unique characteristics of working with data collected by, for, and about Māori, and how the principles of the Treaty of Waitangi apply: in particular, the considerations of Māori sovereignty in data collection, transfer, storage, and publication.
Gain Practical Experience
Demand for data scientists in the commercial and state sectors is rapidly growing, and the role of data scientists has been consistently ranked among the top jobs of recent years.
The MDataSc has a professional focus and involves you completing a five-week work placement with one of our industry partners. These partners include a range of data science consultancies, government departments and agencies, and private companies. Here, you will have the opportunity to apply what you have learned to a professional environment, developing your practical competence and honing your professional skills.
Duration
5 Trimesters, 2 years
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Admissions
Scholarships and Funding
You can look for other scholarships based on your level of study, subject area, and background.
Curriculum
The 240-point MDataSc comprises two parts.
In Part 1 (60 points), you will take courses that address fundamental techniques of data science, statistical methods, and machine learning.
Part 2 (180 points) includes:
- A compulsory core of statistical methods and computational techniques
- A research component made up of a research preparation course and an individual research project
- A five-week workplace practicum
Course assessments include a combination of assignments, group work projects, oral presentations, written research project reports, term tests, written examinations, workplace reports, and self-reflection.
Find out more about the full range of postgraduate qualifications in the area of Data Science.
Research-Led
The Master’s programme is grounded in academic staff research expertise in the areas of statistics, data analysis, and machine learning. During your studies, you’ll undertake a research project in a real-world setting and gain valuable experience working alongside experts in the Wellington Faculties of Science and Engineering.