Graduate Certificate of Applied Statistics

The demand for applied statisticians continues to grow as data production grows in all areas of the economy. Graduates are employed in areas such as the following:

• Marketing
• Government agencies
• Market research
• Education
• Medical and biological sciences
• Town planning
• Social research
• Insurance
• Banking
• Medical Research

Higher education

Undergraduate degree and normally have an understanding of descriptive statistics

Work and Life

5 years (minimum) relevant industry experience

English Proficiency Requirements

English language requirements: (International students only) 

IELTS (Academic Module): Overall 6.5 with no individual band below 6.0; or Swinburne English Language Centre: EAP 5 Advanced level with overall 70% and all skills 65% or above; or TOEFL iBT: minimum score 79 (Reading no less than 18, Writing no less than 20); or equivalent measures available at http://www.swinburne.edu.au/study/international/apply/entry-requirements/

Please note: This course is not available to international students who will be studying in Australia on a student visa (subclass 500).

Special requirements

The media used to teach this degree include printed materials and also some online study material. You will need easy and frequent access to a computer with the internet and email.

Additionally, students will be required to purchase and/or have access to the statistical software package SPSS.

Recognition of Prior Learning (RPL) is a process where a student may be granted credit or partial credit towards a qualification in recognition of skills and knowledge gained through work experience, life experience and/or formal training. For further details for students considering Higher Education degrees visit the RPL website: http://www.future.swinburne.edu.au/pathways/workforce/index.html

Credit Transfer
Applicants with prior tertiary studies that satisfy part of the academic requirements of this degree may be granted ‘credit’ and/or entry into the degree with ‘advanced standing’. University policies apply and applicants are assessed on a case-by-case basis. For further information please refer to http://www.swinburne.edu.au/open-universities-australia/advanced-standing-rpl.html

The Graduate Certificate of Applied Statistics is designed for graduates in any discipline, especially for humanities, social sciences, health sciences, information systems and business graduates who have a professional interest in the use of statistics. It is also applicable to other graduates who have a need to use statistics in their work but have not had sufficient experience with applied statistics. It concentrates on practical skills and enables participants to broaden their theoretical and practical knowledge in the basic areas of statistics.

Recommended Study Pattern

To qualify for a Graduate Certificate of Applied Statistics, students must complete all four core subjects. A subject can only be counted once. The program is delivered entirely online and is supported with eTutors, tutorials, print materials, websites and CD-ROMs.

Award Requirements

To qualify for a Graduate Certificate of Applied Statistics, students must complete 4 core subjects (50 credit points). Each subject carries 12.5 credit points.

Please note: You cannot re-enrol into Swinburne subjects that you have already passed.

Taking time off from study (Absent Without Leave and Leave of Absence): How to apply for an approved leave of absence and minimise the risk of having to reapply for degree admission: https://www.swinburne.edu.au/current-students/manage-course/enrolment-timetable/time-off/

From Study Period 1 2018, the Graduate Certificate of Science (Applied Statistics) changed to the Graduate Certificate of Applied Statistics. The Course Structure remains the same with some minor changes to subjects.

Graduate Certificate of Applied Statistics

Students may choose to stay in the previous Course title or transfer to the new Course title. Students who wish to transfer to the new Course title must complete the online Course Transition Application.

For all students

The following subject changes apply from 2018:

• STA60003 Basic Statistical Computing changed to STA60003 Basic Statistical Computing using R
• STA80005 Statistical Marketing Tools changed to STA80005 Advanced Data Mining

The following subject changes apply from 2019:

• STA80006 Using R for Statistical Analysis changed to STA80006 Statistical Decision Making
• STA80004 Advanced Topics in Regression replaced by STA80011 Advanced Statistical Modelling