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Graduate Certificate in Applied Statistics

includes:

Graduate Certificate in Applied Statistics

The Graduate Certificate in Applied Statistics is designed to train scientists in modern techniques associated with their biometrical requirements. The course teaches the necessary skills to use modern statistical techniques with currently available software.

  • Award Names
  • Availability
  • Duration
  • Admission
  • Credit
  • Graduation
  • Course Structure
  • Enrolment Pattern

The course includes the following awards:

Graduate Certificate in Applied Statistics GradCertAppStats

Course Study Modes and Locations

Graduate Certificate in Applied Statistics (2310AS)

Distance Education - Wagga Wagga

Availability is subject to change, please verify prior to enrolment.

Normal course duration

Graduate Certificate in Applied Statistics

Full-time 0.5 years (1.0 sessions)

Part-time 1.0 years (2.0 sessions)

Normal course duration is the effective period of time taken to complete a course when studied Full-time (Full-time Equivalent: FTE). Students are advised to consult the Enrolment Pattern for the actual length of study. Not all courses are offered in Full-time mode.

Admission criteria

CSU Admission Policy

Applicants without a tertiary qualification may be admitted to the Graduate Certificate in Applied Statistics on the basis of professional attainment and/or work experience.

Credit

CSU Credit Policy

No special credit arrangements apply.

Graduation requirements

To graduate students must satisfactorily complete 32 points.

Course Structure

The course consists of two core subjects and two restricted electives.

Core subjects

STA401 Scientific Statistics (PG)
STA508 Experimental Design and Analysis (PG)

Restricted Electives

Two of the following:
STA404 Statistical Data Analysis
MTH309 Principles of Operations Research
STA427 Advanced Stastistical Modelling
STA448 Multivariate Statistical Analysis
SPA407 Applied Geostatistics
MKT563 Big Data and Marketing Analytics
JST495 Intelligence and Analytics
ITC516 Data Mining and Analytics
[ ] any other Level 400 or 500 Statistics subject with the approval of the Course Coordinator

Enrolment Pattern

Due to the flexibility of the course requirements, there is no prescribed enrolment pattern. Using the following guidelines, students may choose the order in which they undertake subjects.

Students should complete core subjects first as these are assumed knowledge for a number of the elective choices:

STA427 is offered in session 2 in alternate years commencing 2011
STA448 is offered in session 2 in alternate years commencing 2012

Contact

Current Students

For any enquiries about subject selection or course structure you will need to contact your Course Director. You can find the name and contact details for your Course Director in your offer letter or contact your School office.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 334 733 (free call within Australia) or enquire online.

The information contained in the 2017 CSU Handbook was accurate at the date of publication: May 2017. The University reserves the right to vary the information at any time without notice.

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