Graduate Certificate in Applied Statistics
+ Award nomenclature
Graduate Certificate in Applied Statistics
GradCertAppStats
+ Course Availability Modes and Locations
Graduate Certificate in Applied Statistics (2310AS) |
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Distance Education | Wagga Wagga |
Availability is subject to change, please verify prior to enrolment.
Normal course duration
Full-time 0.5 years (1.0 sessions)
Admission criteria CSU Admission Policy
Applicants must hold an undergraduate degree.
Credit CSU Credit Policy
No special credit arrangements apply.
Graduation requirement
To graduate students must satisfactorily complete 32 points.
Course structure
The course consists of two core subjects and two restricted electives.
Core subjects
STA401 Postgraduate Scientific Statistics
STA308 Experimental Design and Analysis
Restricted Electives
Two of the following:
STA427 Generalised Linear Models
SPA402 Spatial Statistics
STA404 Statistical Reasoning
STA347 Multivariate Statistical Analysis
[ ] any other Level 400 or 500 Statistics subject with the approval of the Course Coordinator
Enrolment pattern
Pattern A Session 1 (February) start
Session 1
STA401 Postgraduate Scientific Statistics
Session 2
[ ] Elective 1
Session 3
STA308 Experimental Design and Analysis
[ ] Elective 2
Pattern B Session 2 (July) start
Session 1
STA401 Postgraduate Scientific Statistics
Session 2
STA308 Experimental Design and Analysis
[ ] Elective 1
Session 3
[ ] Elective 2
+ Residential School
Please note that the following subject may have a residential school component.
STA427 Generalised Linear Models
Enrolled students can find further information about CSU residential schools via the About Residential School page.
Contact
For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 334 733 (free call within Australia) or email inquiry@csu.edu.au
The information contained in the 2015 CSU Handbook was accurate at the date of publication: February 2015. The University reserves the right to vary the information at any time without notice.