New Zealand Education - Think New Logo

University

Victoria University of Wellington
Victoria University of Wellington logo

Master of Data Science - MDataSc

This course is available

On-Campus

Level of Study

Master's Degree

Duration

2 years

Next start date

Expected Feb 2024

Campus

Victoria University of Wellington

Summary

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.

Degree structure

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; 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.

Entry criteria

A Bachelor’s degree with a major in Data Science, Computer Science, or Statistics, with an average grade of B+ or better in courses in those subjects. Candidates with a major in Data Science or a double major in Computer Science and Statistics may be exempted Part 1 (60 points) and can complete the degree in 3 trimesters (12 months).

Proof of English proficiency

  • IELTS: minimum overall score of 6.5 with no sub-score below 6.0
  • TOEFL: minimum score of 90 for the internet-based test with a minimum of 20 in writing
  • Pearson Test of English: minimum score of 58 (with a ‘Communicative’ score of not less than 50)
  • EPP: minimum final scores of 4,4,5,5

Studying in NZ

Plan your study experience

Share this course

Share this course

Disclaimer