Bayesian Statistics

Qualification: Postgraduate unit
Study mode: Online
Payment options: FEE-HELP may be available
Duration: 13 weeks
Start date: Enquire now for upcoming start dates
Awarded by: Swinburne University of Technology
Course Unit A course unit is a single subject offered as part of a program of study, but can be completed individually. You may receive Recognition of Prior Learning for studying this unit.

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About this unit

This online unit in Bayesian Statistics from Open Universities Australia and Swinburne University will introduce you to Bayesian statistics, and teach you how to apply this knowledge using R.

The first section of this unit introduces you to Bayesian Statistics and the R programming language. You will learn about important concepts such as prior distributions and posterior distributions. You will be taught how to differentiate between important distributions commonly used in Bayesian Statistics. Finally, you will learn how to articulate differences between Bayesian estimation and maximum likelihood estimation.

The second section of this course will teach you how to apply this knowledge. You will develop the programming knowledge to perform Bayesian analysis using R, and learn how to evaluate the empirical applications of Bayesian analysis within this software environment. Finally, you will use the R program to apply Bayesian methodology using a Markov Chain Monte Carlo simulation.

Eligibility

In order to enrol in this unit, you must be accepted into the following course:

  • Master of Science (Applied Statistics), Swinburne University of Technology

Areas of study

In this Bayesian Statistics unit, the topics you will study include:

  • An introduction to Bayesian statistics
  • Bayesian statistics using R packages
  • Prior distributions, likelihood functions and posterior distributions
  • Common distributions used in Bayesian statistics
  • Differences between Bayesian estimation and maximum likelihood estimation
  • Empirical application of Bayesian analysis using R
  • Applying Bayesian methodology using Markov Chain Monte Carlo simulation

Course pathways

This unit is a core requirement in the following course:

  • Master of Science (Applied Statistics), Swinburne University of Technology

Content may also be relevant to other courses, and could qualify you for Recognition of Prior Learning (RPL) for a course offered by another institution.

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Want more information about this unit? Fill out the enquiry form to the right and a study consultant will contact you with the details you need.

There's plenty of support on offer for OUA students. Find out more.

How will this unit advance my career?

This unit will introduce you to the key concepts within Bayesian statistics, providing useful knowledge for students looking to continue their study of applied statistics or apply this knowledge within a number of other contexts. A knowledge of Bayesian can be applied in a range of roles, from computing to business management.

Using the R program, you will also learn how to evaluate the various empirical applications of Bayesian analysis. This section of the unit will give you the tools to apply your knowledge of this topic, which will be tremendously useful, both in further academic study and in any professional environment in which Bayesian statistics are required.

How else will I benefit from this unit?

  • Upon successful completion of this unit you will receive credit for competencies in Bayesian Statistics from Swinburne University of Technology.
  • Studying online means you can study where you want, at your own pace.
  • Gain industry-relevant skills and transferrable knowledge.
  • Government financial support through FEE-HELP may be available.
  • Studying single units allows you the flexibility to work towards a qualification at your own pace.
  • Receive Recognition of Prior Learning (RPL) for this unit across a number of OUA’s full degree programs.

Get more information

Want more information about the career benefits of this unit? Fill out the enquiry form to the right and a study consultant will contact you with the details you need.

Financial assistance

If you are an Australian citizen, you may be eligible to receive a government FEE-HELP loan, meaning you can defer payment of your fees.

 

Get more information

Want more information about financial and student support? Fill out the enquiry form to the right and a study consultant will contact you with the details you need.

You may be eligible to receive FEE-HELP for this course!

This course can be paid for through the FEE-HELP government loan scheme. If you are an Australian citizen or hold a permanent humanitarian visa, this means you don’t need to pay upfront.

Instead, the Australian government will pay your course fees on your behalf. You’ll begin repaying your loan through the tax system once you start earning more than the minimum threshold of $54,869 (2016-17 income year).

Find out more about government study loans here.
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Get more information

Want more information about the career benefits of this course?
Fill out the enquiry form to the right and a study consultant will contact you with the details you need.

FREE CALL 1800 063 523

Monday to Friday: 8am - late
Saturday and Sunday: 9am - 5pm

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