Computational Statistics

Undergraduate | 2026

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Area/Catalogue
STAT 3006
Course ID icon
Course ID
200032
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
3
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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
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

The course aims to equip students with the modern tools of a statistician for intensive computing in the Bayesian or variational approaches. Students will learn to implement and tune a variety of MCMC samplers and algorithms for inference in complex problems.

Course learning outcomes

  • Implement statistical algorithms to make predictions in a complex statistical problem
  • Interpret output and critically appraise algorithm performance
  • Choose and justify suitable approaches to model problems

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A