eople
- School contact: Ivy Liu
- Associate Dean: Marc Wilson
- Faculty Manager: Johan Barnard
- Writer: Gabe
Resources
- http://www.victoria.ac.nz/sms/study/postgraduate-study/master-of-applied-statistics
- Calendar pages: 376
- GatherContent: https://victoria.gathercontent.com/item/3116145
- JIRA ticket: https://victoriauniversity.atlassian.net/browse/WIP-2048
Versions
- v1: Initial draft
- 1.1: Changes for Academic Board BSc(Hons)-13
- 1.2: 2017 style changes
At-a-glance
Name: Master of Applied Statistics
Abbreviation: MAppStat
Duration: 3 trimesters
Duration details: 3 trimesters of full-time study or normally 6 if studied part time
Schedule: Daytime lectures
Intensity: Part Full time and full or part time
Type: Coursework, practicum and practicumresearch project
Study at: On-campus (Kelburn, Wellington)
Complete: 180 points (approximately 11 courses)
Entry: Bachelor's degree in relevant subject
Start: Trimester 1 or 2
Apply by: Standard trimester dates
Costs: From database for international only at this stage
Impact of previous university study in same subject: Requires
Entry requirements
To be accepted into this programme you'll need:A Bachelor's degree in a relevant subject area
AcceptanceTo be accepted by the
Headhead of the School of Mathematics and Statistics as capable of proceeding with the proposed course of study
Important information
- If you want to enrol in this programme but don't meet some of the entry requirements, you should contact the programme director to discuss your options.
- The academic Calendar is the authoritative source of programme and course information.
Programme requirements
For this programme you’ll need to:Complete 180 points
Include courses worth 120 points in Part 1:
- Either STAT 487 or STOR 487
- Further approved courses worth 105 points from:
- MATH 477
- OPRE 451-482
- STAT 431-489
- STOR 440-482
Include three courses in Part 2:
- STAT 480
- STAT 501
- STAT 581
Important information
- If you complete only the Part 1 courses you may be awarded a Postgraduate Diploma in Science in Statistics.