• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Course subject Statistics

This course provides an overview of recent statistical theory that addresses topics such as  high-dimensionality, large sample sizes, sequential prediction, incremental and parallel statistical learning. The goal of this is course is build on the knowledge developed in Statistical Learning (STAT3040/STAT7040) in order to understand new and effective methods for analysing Big Data. Particular focus will be given to methods for accurately predicting future observations in order to make decisions and for gaining insight into the relationships that exist between features and responses. Further, this course will also develop an understanding of how large sample sizes affect heterogeneity and commonality across different subpopulations present in the data.

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Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
9358 18 Jul 2016 29 Jul 2016 31 Aug 2016 28 Oct 2016 In Person N/A

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