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Students
Tuition Fee
Start Date
Medium of studying
Duration
12 months
Program Facts
Program Details
Degree
Diploma
Major
Applied Statistics | Statistics
Area of study
Mathematics and Statistics
Course Language
English
Intakes
Program start dateApplication deadline
2024-01-01-
2025-01-01-
About Program

Program Overview


The Graduate Certificate of Applied Statistics is a one-year part-time program that equips students with the knowledge and skills to work as statisticians, analysts, or data scientists. The program covers a wide range of topics, including biostatistics, epidemiological methods, and statistical computing. Students can specialize in areas that interest them, and the program is an entry pathway to the Master of Applied Statistics. Graduates are qualified to work in various industries, including healthcare, finance, and government.

Program Outline


Degree Overview:

The Graduate Certificate of Applied Statistics is a one-year part-time program that provides students with the knowledge and skills necessary to work as a statistician, analyst, or data scientist in various industries. The program covers a wide range of topics, including biostatistics, epidemiological methods, generalized linear models, time series, and stochastic finance. Students can specialize in areas that interest them, and the program is an entry pathway to the Master of Applied Statistics.


Outline:

The program's content is divided into four modules:

  • Module 1: Foundations of Statistics
  • Introduction to statistical concepts and methods
  • Probability and distributions
  • Statistical inference
  • Module 2: Applied Statistics
  • Regression analysis
  • Analysis of variance
  • Non-parametric statistics
  • Module 3: Specialized Topics in Statistics
  • Students choose one of the following specialized topics:
  • Biostatistics
  • Epidemiological methods
  • Generalized linear models
  • Time series
  • Stochastic finance
  • Module 4: Statistical Computing
  • Introduction to statistical software
  • Data management and analysis
  • Statistical modeling

Assessment:

Students are assessed through a combination of assignments, quizzes, and exams. The assignments and quizzes are designed to test students' understanding of the course material, while the exams are more comprehensive and assess students' ability to apply their knowledge to real-world problems.


Teaching:

The program is taught by a team of experienced statisticians who are actively involved in research. The faculty uses a variety of teaching methods, including lectures, tutorials, and workshops. The program also makes use of online learning resources, such as videos and simulations.


Careers:

Graduates of the program are qualified to work as statisticians, analysts, or data scientists in a variety of industries, including:

  • Healthcare
  • Finance
  • Insurance
  • Market research
  • Government
  • Academia

Other:

The program is offered in a flexible format, allowing students to study on campus, online, or a combination of both. The program is also accredited by the Statistical Society of Australia, which means that graduates are recognized as professional statisticians.

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