Graduate Certificate of Science (Applied Statistics)
Blended learning – on-campus and digital learning
This course has been replaced with a newer course - this course is closed for new enrolments, the information on this page is provided for continuing students.
The Graduate Certificate of Science (Applied Statistics) is designed for graduates in any discipline, especially the humanities, social sciences and health sciences, information systems or business and science graduates who have a professional interest in the use of statistics, plus those who have a need to use statistics in their work but have not had sufficient or current training in the area.
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Duration
6 months full-time or equivalent part-time with combined online delivery and optional on-campus classes/workshops
Study modes
- Full-time,
- Online,
- Part-time
Course information in detail
- Course detail, course structure and units of study.
Course description
The Graduate Certificate of Science (Applied Statistics) is designed for graduates in any discipline, especially the humanities, social sciences and health sciences, information systems or business and science graduates who have a professional interest in the use of statistics, plus those who have a need to use statistics in their work but have not had sufficient or current training in the area.
Course structure
To qualify for the Graduate Certificate of Science (Applied Statistics), students must complete four units of study (50 credit points).
Units of study
^ Outcome units
Matched exemptions are generally not granted for higher education outcome units.
Careers and graduate outcomes
- Career opportunities, course aims and objectives and graduate skills.
Career opportunities
Graduates may seek research assistant positions involving both the management and application of research in a wide variety of areas including government agencies, market research, education, medical and biological sciences, town planning, social research or sports areas.
Aims and objectives
The Graduate Certificate of Science (Applied Statistics) aims to produce students who will be able to:
1. Develop cognitive skills to review, analyse and consolidate statistical knowledge and identify and provide solutions to complex problems, and to think critically to generate complex statistical ideas.
2. Assemble specialised technical and creative statistical skills in diverse fields.
3. Synthesise communication skills to demonstrate an understanding of theoretical statistical concepts to transfer knowledge and ideas to a variety of audiences.
4. Defend the application of statistical knowledge and skills to make independent judgements in a range of technical or management functions in varied specialised contexts.
5. Initiate, plan, and implement a range of statistical analyses within varied specialised technical and/or creative contexts.
6. Demonstrate responsibility and accountability for personal outputs and all aspects of the work or function of others within broad parameters.
1. Develop cognitive skills to review, analyse and consolidate statistical knowledge and identify and provide solutions to complex problems, and to think critically to generate complex statistical ideas.
2. Assemble specialised technical and creative statistical skills in diverse fields.
3. Synthesise communication skills to demonstrate an understanding of theoretical statistical concepts to transfer knowledge and ideas to a variety of audiences.
4. Defend the application of statistical knowledge and skills to make independent judgements in a range of technical or management functions in varied specialised contexts.
5. Initiate, plan, and implement a range of statistical analyses within varied specialised technical and/or creative contexts.
6. Demonstrate responsibility and accountability for personal outputs and all aspects of the work or function of others within broad parameters.
Graduate skills
The Swinburne graduate attributes signify that Swinburne intends that its teaching programs assist all its graduates to be:
- Capable in their chosen professional, vocational or study areas and have an ability to engage in critical enquiry
- Entrepreneurial in contributing to innovation and development within their business, workplace or community
- Effective and ethical in work, community situations and reasoning skills
- Adaptable and able to manage change
- Aware of local and international environments in which they will be contributing (e.g. sociocultural, economic, natural)
Pathways and scholarships
- Recognition of prior learning and scholarships.
Course fees and requirements
- Entry requirements and non-year 12 entry.
Entry requirements
- Undergraduate degree and an understanding of descriptive statistics, or
- Five years relevant industry experience*
* Relevant industry experience: If this includes work experience, documents substantiating work experience need to be provided on company letterhead and clearly detail roles as well as duties and duration of posts held.
How to apply
This course is closed for new enrolments.