Master of Data Science

Full Time

Master of Data Science

Victoria University of Wellington
  • $ see details
    1st year fees
  • 240
  • Campus
  • Masters
  • 2 year


Master of Data Science is a 2 year Masters program taught at Victoria University of Wellington, . The program is offered in campus-based modes with full Time options. To successfully obtain Master of Data Science from Victoria University of Wellington you are required to complete 240 credit hours. After completion of Master of Data Science you will be able to further continue for advance studies or start career as Data Scientist, Data Analyst, Data Science Developer, Data Science Consultant.

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.

Admission Requirements

The minimum requirements for admission in Master of Data Science at Victoria University of Wellington for all applicants (Domestic or International) are:

  • program specific academic requirment set by Victoria University of Wellington.
  • English Language OR any other language requirments as set by Victoria University of Wellington as pre-requiste for admission in Master of Data Science.

Note: Please check the university website in the link below.

Courses Units

You need to complete 240 credit hours to successfully obtain this degree. Please check detail of study units at

More Information

    • 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 methodsa and computational techniques; a research component made up of a research preparation course and an individual research project; and a five-week workplace practicum.
    • Course assessments include a combination of assignments, group work projects, oral presentations, a written research project report, term tests, written examinations, workplace reports, and self-reflections.
    • Find out more about the full range of postgraduate qualifications in the area of Data Science.

    Career Opportunities

    popular courses