Please note - Swinburne University of Technology

2189 Graduate Diploma of Applied
Science (Health Statistics)
This course aims to extend the work load done in the
Graduate Certificate of Applied Science (Health Statistics). This
will include using a wider variety of statistical techniques,
providing a deeper and broader understanding of the relevant
software; developing critical skills in the statistical evaluation
of health literature and gaining personal contact with the
work of statistical practitioners in the health sciences.
The Graduate Diploma will qualify graduates to take up
research assistant positions involving both the management
and application of research in the health sciences that require
statistical methods for its design and analysis.
Course structure
The course is offered as a part-time program over two years.
The class contact hours for each subject will normally be four
hours per week for one semester and consists of a
combination of lectures and practical work as applicable to the
topic.
SM733 Demographic Techniques
SM750 Basic statistical Computing
SM751 lntroduction to Data Analysis
SM753 Survey Methods
SM754 lntroduction to Health Statistics
SM756 Elementary Statistical Modelling
SM757
SM758
~~idemiolo~ical Methods
Analysis of Risks and Rates
Application procedure
See entry under 'General Divisional information - Applied
Science'.
2085 Graduate Diploma of Applied
Science (Industrial Chemistry1
Biochemistry)
This course is designed for graduates with a general
background in chemistry or biochemistry who wish to become
experienced in its application to industrial problems.
This course will be offered on the basis of one year of full- time
study, covering a full twelve months. It will comprise seventeen
weeks of coursework related to industrial chemistry and
twenty-two weeks of industry based learning including paid
employment experience in an appropriate industrial laboratory.
The program will include a small research project.
Graduates of the course will not only have gained a thorough
understanding of the specialist principles of industrial
chemistry, but also exposure to such related issues as process
economics, industrial issues and governmental regulations.
Entry to industrial chemistry is open to applicants with a first
tertiary qualification in medicine, engineering and biological
sciences. An applicant whose position or experience indicates
an ability to succeed in the course may be accepted with other
qualifications or with less than the usual entry qualifications.
Course structure
(1989 syllabus)
Semester 1
Applied Chemistry stream
SC720 Applied Chemistry Techniaues
SC723 industrial ~hemisiry
SC725 Practical Chemistry
SC732 Practical Work
Biochemistry stream
SC720 Applied Chemistry Techniques
SC725 Practical Chemistry
SC731 Practical Biochemistry
SC760 Biochemistry
Semester 2
SC709 Employment Experience
BS721 Business and Management
Application procedure
See entry under 'General Divisional information
Science'.
zo86
Graduate Diploma in Applied
Science (Social Statistics)
Credit points
This course is for people with similar backgrounds to those
undertaking the Graduate Certificate of Applied Science
(Social Statistics), but who want to progress further and cover
a wider range of topics at a greater depth.
Normal entry is by successful completion of the subjects for the
Graduate Certificate in Social Statistics. Other applicants with
suitable backgrounds may be admitted to the program.
The class contact hours will normally be four hours per night,
two nights per week for four semesters which includes the two
semesters of the graduate certificate. Classes will consist of a
combination of lecture and practical work as applicable to the
topic.
The Graduate Diploma will qualify graduates to take up
research assistant positions involving both the management
and application of research in the social sciences that require
statistical methods for its design and analysis.
Course structure
The four subjects from the graduate certificate plus four
subjects from:
Credit points
SM733 DemographicTechniques*
2.5
SM735 Survey Sam~lina
12.5
SM743 ~ultivariate ~tsistics 1 *
SM744 Statistical Modelling
SM746 Multivariate Statistics 2
SM747 Secondary Data Analysis 12.5
SM752 Advanced Statistical Computing 12.5
* Compulsory subjects.
Note: 1. A maximum of two other approved subjects
may be substituted for two of the subjects
listed.
2. A maximum of two exemptions are
permitted.
3. All the subjects will not necessarily be
offered each yeaK
Application procedure
See entry under 'General Divisional information -Applied
Science'.