Bayesian Statistical Theory

Undergraduate | 2026

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Mode icon
Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
area/catalogue icon
Area/Catalogue
STAT 3003
Course ID icon
Course ID
200047
Campus icon
Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
Mathematical Sciences
Course level icon
Course level
3
Work Integrated Learning course
Work Integrated Learning course
No
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
Discipline group A
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

In this course, students will explore advanced Bayesian theory and application.

Course learning outcomes

  • Propose, formulate, interpret, and defend Bayesian models
  • Derive sophisticated analytical relationships by hand
  • Recommend and implement improvements to models with reference to data or word problems

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

N/A

Degree list
The following degrees include this course
Bachelor of Mathematics (Honours)