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Postgraduate Diploma in Science (PGDipSci) in Statistics

This course is available

On-Campus

Level of Study

Postgraduate Certificate or Diploma

Duration

1 year

Next start date

Expected Jul 2023

Campus

Grafton Campus

Summary

Pursue advanced study in your specialist area with the Postgraduate Diploma in Science. Extend your knowledge with coursework or try a project or dissertation as part of your diploma – the option is yours. The PGDipSci offers a pathway toward masters and doctoral study.

Programme structure

The PGDipSci programme involves one year of full-time study, or up to four years of part-time study, after you have completed the requirements for the Bachelor of Science degree.

  • 120 points in your specialist subject listed in the Postgraduate Diploma in Science schedule
  • A project or dissertation of up to 45 points may be included

Summer School will start in January.

What can you study in Statistics?

You can study Statistics as a postgraduate specialisation in either the Faculty of Science or Faculty of Arts programmes.

Statistics applies to almost any field, ranging from scientific research to business management and media analysis. From designing an experiment to evaluate the effects of a new treatment for a disease, to analysing a set of data gathered by an ecologist - the diversity of applications of statistics is immense.

There are different options to consider when choosing your postgraduate qualification in Statistics. While the taught masters is a programme with a professional focus and essential to work as a professional statistician, the research masters is an advanced programme to develop your research skills with the intention to progress to doctoral study in Statistics. This subject also available in faculty of arts.

Areas of research interests open to exploration include:

  • Analysis of survey data
  • Astrostatistics
  • Bayesian statistics
  • Biostatistics and novel regression methodologies
  • Case control sampling and extension
  • Experimental design and quality improvement
  • Forensic statistics
  • Human genomics and bioinformatics
  • Linear and non-linear statistical modelling
  • Medical statistics
  • Sample survey theory
  • Statistical computing
  • Statistical computing and the “R” statistical programming language
  • Statistical ecology and bioinformatics
  • Statistical genetics
  • Statistics education
  • Operations research and stochastic processes
  • Non-parametric statistics

Jobs related to Statistics

  • Actuary
  • Environmental statistician
  • Forensic statistician
  • Government statistician
  • Health economist
  • Market research statistician
  • Medical statistician
  • Operations research
  • Pharmaceutical statistician
  • Researcher
  • Sports statistician
  • Statistical consultant

Further study options

  • Master of Science
  • Master of Speech Language Therapy Practice
  • Master of Bioscience Enterprise
  • Doctor of Philosophy
  • Doctor of Clinical Psychology

Entry criteria

Taught 120 points

You must have completed an undergraduate degree in science at a recognised university (or similar institution) in your intended specialisation with a GPE of 3.0. Some specialisations may require you to have completed specific courses in your undergraduate degree.

IELTS (Academic): Overall score of 6.5 and no bands less than 6.0; Internet-based TOEFL (iBT): Overall score of 90 and written score of 21; Paper-based TOEFL: Overall score of 68 and a writing score of 21; Cambridge English: Advanced (CAE) or Cambridge English Proficiency (CPE): Overall score of 176 and no bands below 169; Pearson Test of English (PTE) Academic: Overall score of 58 and no PTE Communicative score below 50; Foundation Certificate in English for Academic Purposes (FCertEAP): Grade of B-; Michigan English Language Assessment Battery (MELAB): 85.

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