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Study graduate diploma business & management online with Swinburne University of Technology through Open Universities Australia. Explore all degrees, subjects and short courses now.

Upskill your project management abilitiesGain new skills and a greater understanding of project management principles. Study the Graduate Diploma of Project Management online and you will learn to manage resources, identify and manage risk. You will also learn how to bring analysis and strategy to your project work in a broad range of industries.This qualification teaches you how to manage project teams, to optimise available resources and manage change. It brings new understanding to managing budgets and decodes organisational behaviour. You will develop your problem-solving skills and learn how to design and communicate innovative solutions to different audiences.Course work includes techniques for creating and communicating professional project plans and dealing with complex business problems. It also covers supporting organisational change and responding to ethical issues.Our Graduate Diploma of Project Management (GD-PM) comprises 100 credit points of the AIPM-endorsed Master of Project Management. With over 10,000 members, the Australian Institute of Project Management (AIPM) is Australia’s leading body for project management, recognised by businesses, industries, and government for its role in promoting and advancing project management professionalism.

Gain in-demand project management expertise and boost your career. You’ll study comprehensive project management principles plus business electives. Develop your soft skills in leadership, communication, and critical thinking. Get certified by AIPM.

Graduate Diploma of Project Management

Data and Analysis

Data Analytics Concepts

Business Intelligence

Psychology of Leadership

Introduction to Psychological Design and Statistics

Training and Development

Applied Contract Law

Consumer Psychology

Business Finance

Sustainability, Climate Change and Economics

This subject introduces R, one of the popular open source statistical programming languages commonly used in applied statistics and data science disciplines. Students will learn key programming principles of R and develop competence in programming in R which are essential for a statistician or data scientist to perform different types of statistical analyses.This subject was formerly known as STA60003 Basic Statistical Computing

Upskill and package up your computer and statistical knowledge. Form questions. Use SPSS software to select, modify, merge and apply data visualisation techniques. Investigate missing values and manage complex data files. 

Basic Statistical Computing Using R

This subject extends the ideas developed in Statistical Practice 1 to include more advanced analyses, broaden the range of applications students are familiar with so that they will be able to carry out independent statistical investigations, and develop an awareness of the assumptions and limitations involved in the generalisation of results of such investigations.

Practice and advance your statistical knowledge and extend ideas. Produce an independent investigation. Get analytical and compare groups using parametric and non-parametric methods. Stop generalising, question assumptions and identify data limits. 

Statistical Practice 2

This subject teaches students to identify some of the methodologies used in survey research. It includes an overview of the procedures used in survey research, a descriptive approach to methods including questionnaire design, data collection, and an introduction to survey sampling. It covers ethics and laws in conducting research. It also covers topics related to incidence and prevalence, standardisation, different types of study designs including cohort and case-control studies, randomised control trials and clinical trials in health statistics and elsewhere. Case studies will be drawn from areas such as sociology, market research, psychology, medical sciences and other areas as appropriate.

Survey research methods and get critical about design. Describe approaches and observe techniques. Sample data collection methods. Scale and graph procedures and figure out incidence and prevalence. Draw on case studies and assess and present data

Research Design

This subject develops students’ understanding of a range of statistical methods along with their assumptions and limitations of their application. It enables students to develop the capacity to carry out independent statistical analysis of data using a standard statistical software package and also aims to develop students’ abilities in effectively communicating the outcomes of statistical investigations. In addition, it will provide a foundation and motivation for exposure to statistical ideas subsequent to the Graduate Certificate (GC) degree.

Develop a number of statistical data techniques; assess theories and survey limitations. Increase analysis skills and translate investigation outcomes. Recognise statistical inference and sampling distributions. Transcribe interpretative summaries. 

Statistical Practice 1

Swinburne University of Technology Graduate Diploma Business & management Courses & Degrees | Open Universities Australia

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