Macquarie University

Master of Applied Statistics

Macquarie University
Institution rating
4.2
Duration
From 1 yearfull-time(part-time available)
Study mode
On-campus
Next start date
July

Why study this course

  • This program will provide you with the expert knowledge in statistics required for roles in research institutes, insurance companies, financial institutions, medical institutions or government departments
  • Learn about biostatistics, data mining, epidemiological methods, generalised linear models, marketing research, time series and stochastic finance

Career Insights from SEEK

of students felt this course had a positive impact on their career.
100%
Roles related to this course: Data Analyst, Business Analyst, Statistician, Research Assistant, and 12 more.

Entry requirements

One-year program entry:

  • Successful completion of a Bachelor degree or equivalent

Two-year program entry:

  • Successful completion of an Honours degree or Graduate Diploma in a related discipline such as statistics or actuarial studies; OR
  • Meet two of the following requirements: completion of a Bachelor degree in a related discipline; have approved work experience or a professional certification; completion of a Bachelor degree with a weighted average mark of 65

Where is this course offered?

Available campuses

  • North Ryde

The course duration and available study modes can vary depending on the campus.

Visit Macquarie University's website to find out more about your study options.

Course price

The course price can vary depending on a few factors, including:

  • Whether you are eligible for a subsidy, concession, or government loan
  • Your previous study and work experience
  • Your unit selections

Visit Macquarie University's website to find out more about the course price for you.

What to know before you apply

To help you decide if this is the right course for you, Macquarie University can provide you with more information about:

Credit and Recognition of Prior Learning (RPL)

You may be able to get credit or RPL for some units of this course based on your previous studies and work experience. This means the duration of the course may be reduced.


Visit Macquarie University's website to find out more about Recognition of Prior Learning (RPL).

Career Insights

Explore roles related to this industry:

Related rolesJob satisfactionMost common salaryJobs on SEEK
Data Analyst
$110k5,279
Business Analyst
$110k6,883
Statistician
N/A
$130k36
Powered by SEEK Career Advice

What are students saying?

Master of Applied Statistics
Macquarie University
5.0
(1 reviews)
51
40
30
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10

Published Jul 2018
Master of Applied StatisticsMacquarie University
Graduation date2016
Study modeBlended
Student review
Really allows you to solve complex problems in business and science. Fantastic and deep exploration into data management and applied statistics.
The student would recommend this course to a friend, colleague or relative
This course had a positive impact on the student’s career
Ability to balance study with your other commitments
5.0
Assistance to help you find a job
2.0
Balance between theory and practical work
4.0
Transparency of course fees
5.0
Quality of teachers and academic support
4.0
Quality of online study portal
5.0
Course content compared to what was expected
5.0
Current and industry-relevant content
5.0

SEEK Learning has not verified the truth or accuracy of these comments and does not adopt or endorse any of the comments posted on this page. SEEK Learning collects and posts the comments for what they are worth and for information purposes only to help future students make an informed choice for their education through www.seek.com.au/learning.View our Community Guidelines and further information here.

Find out more about this course

Master of Applied Statistics

You may wish to discuss the following with Macquarie University:

  • Course price
  • Study options available at your campus
  • Prior Recognition of Learning (RPL)
Course information on this page has not been endorsed by the education provider.

Master of Applied Statistics

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