Graduate Diploma of Applied Statistics

Program Overview

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The Graduate Diploma of Applied Statistics is a one-year program designed for professionals seeking to enhance their statistical skills. It covers key areas of statistics, emphasizing practical applications and theoretical understanding. Students gain proficiency in data analysis, research design, and advanced modeling techniques, preparing them for careers in various industries, including government, business, and healthcare.

Program Outline

Degree Overview:

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Overview:

The Graduate Diploma of Applied Statistics is a one-year, full-time or part-time program designed for students with a professional interest in the use of statistics. The program provides students with the skills to evaluate data across humanities, social and health sciences, and information systems. There is an emphasis on practical and theoretical skills that cover the key areas of statistics.

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Objectives:

• To provide students with the skills to evaluate data across humanities, social and health sciences, and information systems
• To develop students' understanding of the key areas of statistics
• To prepare students for a career in the field of statistics

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Outline:

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Content:

• Descriptive statistics
• Multivariate statistical analysis and forecasting
• Developing and executing research proposals
• Consulting with the business to determine their requirements
• Advanced modelling and analytics using real-life datasets

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Structure:

The program consists of eight core units of study (100 credit points). Students can complete the program in one year full-time or equivalent part-time.

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Course Schedule:

The program is offered in three study periods per year. Study Period 3 begins on August 26, 2024.

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Individual Modules:

• Statistical Practice 1 (12.5 credit points): This unit introduces students to the fundamental concepts of statistics, including data collection, data analysis, and statistical inference.
• Statistical Practice 2 (12.5 credit points): This unit builds on the concepts learned in Statistical Practice 1 and introduces students to more advanced statistical methods, including regression analysis and ANOVA.
• Basic Statistical Computing Using R (12.5 credit points): This unit introduces students to the R statistical software package.
Students will learn how to use R to perform data analysis and statistical modelling.
• Research Design (12.5 credit points): This unit introduces students to the principles of research design.
Students will learn how to develop and conduct research studies, and how to analyze and interpret research data.
• Multivariate Statistics (12.5 credit points): This unit introduces students to multivariate statistical methods, including principal component analysis, factor analysis, and discriminant analysis.
• Advanced Modelling and Analytics (12.5 credit points): This unit introduces students to advanced statistical modelling techniques, including time series analysis, forecasting, and machine learning.
• Research Project Part A (12.5 credit points): This unit provides students with the opportunity to conduct a research project under the supervision of a faculty member.
• Research Project Part B (12.5 credit points): This unit is a continuation of Research Project Part A.
Students will complete their research project and write a thesis.

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Assessment:

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Assessment Methods:

Students will be assessed through a variety of methods, including:

• Assignments
• Quizzes
• Exams
• Projects
• Presentations

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Assessment Criteria:

Students will be assessed on their:

• Knowledge of statistical concepts and methods
• Ability to apply statistical methods to real-world problems
• Ability to communicate their findings effectively

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Teaching:

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Teaching Methods:

The program is taught through a combination of lectures, tutorials, and workshops.

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Faculty:

The program is taught by a team of experienced faculty members who are active in research and industry.

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Unique Approaches:

The program includes a strong emphasis on practical experience. Students will have the opportunity to work on real-world projects and to consult with businesses on their statistical needs.

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Careers:

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Career Paths:

Graduates of the Graduate Diploma of Applied Statistics are qualified for a variety of careers in the field of statistics, including:

• Statistician
• Data analyst
• Research analyst
• Business analyst
• Financial analyst

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Opportunities:

Graduates of the program may find employment in a variety of industries, including:

• Government
• Business
• Healthcare
• Education
• Research