The Statistical Society of Australia, Inc.
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Professional Accreditation

Accreditation for Graduates

While the qualification of Accredited Statistician is available to experienced statisticians, the SSAI recognises that there will be relatively inexperienced but qualified statisticians who want some recognition to support their professional work. For this reason, we have introduced a Graduate Statistician (GStat) scheme. The GStat qualification is intended primarily to indicate that the holder has recently completed a course of study equivalent to a degree course with a Major in Statistics, including Graduate Diplomas.

The Society strongly recommends that holders of the GStat qualification either proceed to an Honours or other postgraduate degree in the discipline or undertake significant professional development before applying for full accreditation.

Details of accreditation can be found under Professional Accreditation.

GStat application form.

You may also wish to consult the pages under Resources to read about careers in statistics, jobs available, the companies that employ large numbers of statisticians and to browse the "Web guide for statisticians".
 

Graduate Statisticians

Note: This list contains only names of Accredited Statisticians who wish their contact details made public.

Last Name

First Name

State

Expiry

Phone/Fax/Email

Areas of Interest

Anderson

Mr Chris

NSW

2010

Ph: (02) 9872 4924
Fax: (02) 9872 4842
Email: anderson@docexam.com.au

Forensix statistics, GLM

Beunen

Mr Jos

NSW

2006

Ph: (02) 6035 1314
Fax: (02) 9268 4138
Email: jos.beunen@abs.gov.au

 

Fant

Dr Gregory V

USA

2007

Ph: +1 301 443 3899
Fax: +1 301 594 2511
Email: gfant@hrsa.gov

Research desogn & statistical data analysis; epidemiology methods; health data analysis; public administration research; university teaching

Howden

Mr Chris

 

2006

Email: ecostats@excite.com

Environmental, ecological modelling, multivariate, geo-statistics

Milne

Mr Christopher

WA

2009

Ph: (08) 9386 3304
Fax: (08) 9364 8668
Email: chris@daa.com.au

Robust statistics, biostatistics, designed experiments