Probability and Statistical Theory

Postgraduate | 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
MATH 5111
Course ID icon
Course ID
207599
Campus icon
Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Mathematical Science
Course level icon
Course level
1
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

This course aims to provide students with a solid foundation in the fundamental principles and theoretical frameworks of probability and statistics, with the specific purpose of going on in more advanced statistics.

  • Probability
  • Estimation
  • Application

Course learning outcomes

  • Explain the common named discrete and continuous random distributions and apply them to modelling situations.
  • Apply the formal rules of probability, conditional probability and independence to calculate probabilities and expectations.
  • Estimate distribution parameters given observed data
  • Annotate and critique statistical derivations
  • Apply probability and statistical theory concepts in an applied example

Prerequisite(s)

  • must have completed all of MATH5016 Calculus for Statisticians/STATX100 Probability and Statistics

Corequisite(s)

  • If the following course has not already been completed THEN must be enrolled in MATHX104 Linear Algebra

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
Master of Statistics