<?xml version="1.0" encoding="UTF-8"?>
<program>
  <academic-career type="integer">Graduate Coursework</academic-career>
  <admission-requirements nil="true"></admission-requirements>
  <can-apply-online type="integer">1</can-apply-online>
  <career-options></career-options>
  <course-list-override></course-list-override>
  <cricos-code>029317G</cricos-code>
  <degree-structure>&lt;p&gt;The program is 48 units consisting of 36 units of core statistics study and 12 units of elective courses.&lt;/p&gt;&lt;p&gt;Individual candidate degree structures will depend on previously attained qualifications and will be prescribed in consultation with the Program Coordinator. Courses of similar content and level to those previously completed by a candidate (and for which status could not be granted) may not be included as part of the degree.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Core Courses (36 units)&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Choose 6 courses from the list below.&amp;nbsp; These courses deal with basic statistical skills and the development of more advanced skills.&amp;nbsp; Note: not all of these courses are offered in any one year.&lt;/p&gt;&lt;p&gt;STAT7007&amp;nbsp;Advanced Marketing Research Methods&lt;/p&gt;&lt;p&gt;STAT7001&amp;nbsp;Applied Statistics&lt;/p&gt;&lt;p&gt;STAT8002&amp;nbsp;Applied Time Series Analysis&lt;/p&gt;&lt;p&gt;STAT8003&amp;nbsp;Biostatistics&lt;/p&gt;&lt;p&gt;STAT8036&amp;nbsp;Credibility Theory&lt;/p&gt;&lt;p&gt;STAT7029&amp;nbsp;Design of Experiments and Surveys&lt;/p&gt;&lt;p&gt;STAT7030&amp;nbsp;Generalised Linear Modelling&lt;/p&gt;&lt;p&gt;STAT7026&amp;nbsp;Graphical Data Analysis&lt;/p&gt;&lt;p&gt;STAT8020&amp;nbsp;Multivariate Analysis&lt;/p&gt;&lt;p&gt;STAT8035&amp;nbsp;Risk Theory&lt;/p&gt;&lt;p&gt;STAT8027&amp;nbsp;Statistical Inference&lt;/p&gt;&lt;p&gt;STAT7018&amp;nbsp;Stochastic Modelling&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Elective Courses (12 units)&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Elective courses, focused on quantitative skills, are to be chosen from the postgraduate courses offered&amp;nbsp;within the Faculty of Economics and Commerce&amp;nbsp;or the School of Mathematics.&amp;nbsp;&lt;/p&gt;&lt;p&gt;Students may choose to include further courses from the Core Statistics series that have not already been included in their program.&lt;/p&gt;&lt;p&gt;Students may opt to replace up to 12 units with directed readings leading to a sub-thesis under the supervision of a staff member in the School of Finance and Applied Statistics.&lt;/p&gt;&lt;p&gt;Students must discuss their choices with the program convenor.&lt;/p&gt;</degree-structure>
  <filled-flag type="integer">1</filled-flag>
  <hide-program-details type="integer">0</hide-program-details>
  <honours-degree></honours-degree>
  <id type="integer">3161</id>
  <introduction>&lt;p&gt;The Master of Applied Statistics degree is designed to enhance the professional expertise of graduates engaged in work of a quantitative nature.&lt;/p&gt;&lt;p&gt;This program is also designed for graduate students to extend their knowledge of statistics to an advanced academic level, with a view to possible PhD study.&lt;/p&gt;&lt;p&gt;Eligible&amp;nbsp;domestic&amp;nbsp;students undertaking&amp;nbsp;the Master of Applied Statistics degree program&amp;nbsp;&amp;nbsp;may&amp;nbsp;be able to access Youth Allowance, Austudy and the Pensioner Education Supplement. For full details, please visit: &lt;a href="http://www.dest.gov.au/sectors/career_development/programmes_funding/programme_categories/student_income_support/" title="http://www.dest.gov.au/sectors/career_development/programmes_funding/programme_categories/student_income_support/"&gt;http://www.dest.gov.au/sectors/career_development/programmes_funding/programme_categories/student_income_support/&lt;/a&gt;&amp;nbsp;&amp;nbsp; &lt;/p&gt;&lt;p&gt;All graduate coursework for domestic students in the ANU College of Business and Economics is offered under Domestic Tuition Fee places.&amp;nbsp;Australian citizens may defer&amp;nbsp;the payment of their fees using FEE-HELP, however should be aware that the programs are not eligible for Commonwealth Supported Places and HECS-HELP. Information on FEE-HELP and eligibility requirements is available from &lt;a href="http://www.goingtouni.gov.au/" title="http://www.goingtouni.gov.au/"&gt;http://www.goingtouni.gov.au/&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Admission Requirements&lt;/strong&gt;&lt;/p&gt;&lt;ol&gt;&lt;li&gt;A bachelors degree in statistics, econometrics or a related quantitative field from an Australian tertiary institution (or equivalent) with an average of 65% or better for the final two years of their degree program.&lt;/li&gt;&lt;li&gt;Background quantitative study equivalent to at least two years of university level statistical and mathematical study including calculus and linear algebra, as well as mathematical statistics and linear regression theory.&lt;/li&gt;&lt;li&gt;Otherwise qualified applicants who have not completed suitable background studies in statistics will be required to undertake preliminary work in order to be eligible for admission to the program.&lt;/li&gt;&lt;/ol&gt;</introduction>
  <is-active type="integer">1</is-active>
  <is-honours-program type="integer">0</is-honours-program>
  <is-joint-program type="integer">0</is-joint-program>
  <is-public type="integer">1</is-public>
  <jobs nil="true"></jobs>
  <lock-version type="integer">2</lock-version>
  <min-units type="integer">48</min-units>
  <name>Master of Applied Statistics</name>
  <pass-degree></pass-degree>
  <pre-requisites></pre-requisites>
  <requirements>&lt;p&gt;Students must satisfactorily achieve a minimum pass grade in 48 units of credit to qualify for the degree of Master of Applied Statistics.&lt;/p&gt;&lt;p&gt;Students must pass and achieve a grade average of 70% across the first&amp;nbsp;48 units attempted to progress to any other&amp;nbsp;2 year Masters program in the Faculty.&lt;/p&gt;</requirements>
  <s21-plan-code>7404XMAST</s21-plan-code>
  <s21-program-code>7404</s21-program-code>
  <updated-by>u4473726</updated-by>
  <version type="integer">2</version>
  <year type="integer">2010</year>
</program>
