Bayesian Statistics - STATS226 (2019)

This paper introduces statistical methods from a Bayesian perspective, which gives a coherent approach to the problem of revising beliefs given relevant data. It is particularly relevant for data analytics, statistics, mathematics and computer science.

Paper Information

Points: 15.0
Prerequisite(s): At least one of MATH101, MATH102, MATHS101, MATHS102, STAT111, STAT121, STATS111, or STATS121.
Internal assessment / examination: 50:50
Restriction(s): STAT226

Note: This paper is normally available only to students enrolled for the BBA(Fin) and BMS degrees or certain related programmes of study, such as BSocSc Economics majors. Students with 18 credits at Level 2 in NCEA Mathematics or better may choose STAT121 in place of STAT160.

Semesters and Locations

Occurrence Code When taught Where taught
19B (HAM)B Semester : 8 Jul 2019 - 3 Nov 2019 Hamilton

Timetabled Lectures for Bayesian Statistics (STATS226)

Mon11:00 AM1:00 PMMSB.1.03Jul 8 - Oct 13
Wed10:00 AM11:00 AMK.G.01Jul 8 - Oct 13

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for STATS226 for more details

Indicative Fees for Bayesian Statistics (STATS226)

Occurrence Domestic International
 Tuition Resource 
19B (HAM) $765 $0 $3053
You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Paper Outlines

The following 2018 paper outlines are available for STATS226. Please contact the Faculty or School office for details on 2019 outlines.

Additional Information

Available Subjects:  Data Analytics | Mathematics | Statistics

Other available years: Bayesian Statistics - STATS226 (2018)

Paper details current as of : 18 February 2019 3:37pm
Indicative fees current as of : 5 February 2019 5:10pm

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