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UTS course code: C07082
Testamur title: Graduate Diploma in Statistics
Abbreviation: GradDipStats
Course Director: Dr Peter Petocz
Course fee: $220 per cp (local); $7,700 per semester (international)
Total credit points: 48
Overview
Course aims
Admission requirements
Attendance
Course duration
Course structure
Course program
Rules and regulations
Other information
A knowledge of statistical methodology is becoming ever more important for graduates in many disciplines. Degree courses in the sciences, in engineering and in business often do not provide the exposure to statistics which graduates find they need in employment. This course is suitable for such graduates and also for those who have completed degrees in pure or applied mathematics without a major in statistics.
The Graduate Diploma in Statistics aims to train graduates in the methods and principles of applied statistics. The course provides access to training or retraining in statistics to at least the level of skill attained by students completing the Bachelor of Science in Mathematics degree with the Statistics major. Students are expected to have some statistical and mathematical background.
Applicants for this course are graduates from a variety of disciplines who satisfy the basic entry requirements. These consist of a knowledge of statistics and pure and applied mathematics equivalent to the subjects 35252 Statistics 2 and 35102 Mathematics 2. Prospective applicants are assessed by the Program Leader for Postgraduate Programs (Mathematics), and those who have not completed the necessary prerequisites are required to enrol in appropriate subjects, either as non-award students or as part of a Graduate Certificate in Mathematical Sciences.
Part-time students should be aware that attendance at daytime classes for some subjects may be unavoidable.
The course is offered on a full-time basis over two semesters, or on a part-time basis over four semesters.
The subjects in the Graduate Diploma cover standard statistical techniques and their theoretical foundations. The range of topics and the level of presentation are commensurate with those found in senior undergraduate studies in this discipline.
Students are required to complete 48 credit points comprising five core subjects and three electives. Two of these elective subjects may be combined into a single 12-credit-point project extending over two semesters. It is also possible to choose Honours level subjects as electives, depending on satisfaction of prerequisites at a suitable level.
The program consists of the following subjects:
35170 Introduction to Computing 6cp
35353 Regression Analysis 6cp
35355 Quality Control 6cp
35356 Design and Analysis of Experiments 6cp
35361 Probability and Stochastic Processes 6cp
3xxxx Electives 18cp
Students will have their registration discontinued for failure to complete the course in eight semesters from the time of registration in the case of a part-time student, or four semesters from that time in the case of a full-time student, not inclusive of periods of leave of absence (Rule 3.2.6.1), or for any three failures in the course (unsatisfactory progress as defined by the Faculty Board resolution, FBMC/94/80) (Rule 3.2.6.2).
All academic inquiries should be made to:
Course Director, Graduate Diploma in Statistics
Dr Peter Petocz
Department of Mathematical Sciences
telephone (02) 9514 2264
fax (02) 9514 1531
email Peter.Petocz@uts.edu.au
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