Advanced Analytic Techniques
Postgraduate
Postgraduate
MATH 5045
Postgraduate
Yes
Note: This offering may or may not be scheduled in every study period. Please refer to the timetable for further details.
154329
4.5
No
UniSA STEM
To develop a knowledge of, and skills at using, a range of advanced statistical analytics techniques.
Big data analytics
Causal discovery
Causal inference
Stream data
Text mining
Geo-spatial data analytics
Nil
Common to all relevant programs | |
---|---|
Subject Area & Catalogue Number | Course Name |
INFS 5100 | Predictive Analytics |
Students must have successfully completed the pre-requisite course.
Nil
Component | Duration | ||
---|---|---|---|
EXTERNAL, MAWSON LAKES, ONLINE | |||
External | N/A x 13 weeks | ||
INTERNAL, MAWSON LAKES | |||
Workshop | 2 hours x 13 weeks | ||
Computer Practical | 1 hour x 12 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Project, Quantitative exercise
EFTSL*: 0.125
Commonwealth Supported program (Band 1)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.
* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.