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University

Victoria University of Wellington
Victoria University of Wellington logo

Master of Applied Statistics - MAppStat

This course is available

On-Campus

Level of Study

Master's Degree

Duration

1 year

Next start date

Expected Feb 2024

Campus

Victoria University of Wellington

Summary

Statisticians are in demand. The huge variety and quantity of data generated today means more people are needed who can analyse it and make sense of it.

Our Master of Applied Statistics (MAppStat) is designed to train you in a range of advanced techniques and to provide you with an appreciation of the variety of work undertaken by professional statisticians and consultants. It is made up of both coursework and practical training, allowing you to develop skills in research and consultancy. You’ll then apply these skills in a work placement in a relevant government department or business.

Develop your research, analytical, and client communication and consultancy expertise. You'll gain a toolbox of skills so you can solve real-life problems. Graduate prepared for a career with many different types of workplace.

Practical experience

Your programme will be made up of both coursework at the University and practical training in the field. The MAppStat has a professional focus and you'll complete a consultancy project and work experience practicum. This will give you a unique experience among applied statistics programmes internationally.

Work alongside other students in a consulting role with real clients such as clinicians or academics. You'll learn how to talk to clients about technical issues in a language they'll understand, and you'll make an oral presentation and write a report.

During your practicum you'll gain valuable professional work experience with a host organisation such as the Ministry of Business, Innovation and Employment, Statistics New Zealand, and NIWA, or data science companies like Dot Loves Data or Harmonic Analytics. You'll be matched to an environment that suits your goals.

Workload

If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year. Part-time students doing two courses per trimester will need to do around 20–23 hours of work a week. Make sure you take this into account if you are working.

Entry criteria

To be accepted into this programme you will need to meet:

A Bachelor's degree in a relevant subject area

To be accepted by the head of the School of Mathematics and Statistics as capable of proceeding with the proposed course of study

Proof of English proficiency

To be accepted into this programme you will need to meet one of the following:

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

Application deadlines: Trimester 1 - 1 Dec and Trimester 2 - 1 May.

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