$2,522 $0
Your upfront cost: $0
Duration
14 weeks
Study method
100% Online
Available loans
- HECS-HELP
- FEE-HELP
Assessments
100% online
Prior study
Not required
Start dates
- 10 Jul 2023
Australia’s fourth oldest university, the University of Tasmania, is highly regarded internationally for teaching and academic excellence. The university offers more than 100 undergraduate degrees and more than 50 postgraduate programs across a range of disciplines. The university offers students a diverse range of opportunities, the chance to learn from leading experts, and excellent preparation for their future careers.
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QS Ranking 2023
17
Times Higher Education Ranking 2023
22
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Subject details
Upon completion of this subject, the student should be able to:
- Describe how data are handled and analysed to support decision making in business, science, and technology disciplines.
- Select and apply data analysis and presentation methods to generate evidence that supports decision-making.
- Evaluate, interpret and communicate evidence generated from mathematical and statistical approaches.
- Critically reflect on own technical practice and discipline knowledge to generate plans for self-development.
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- Subject Introduction Data Types and Statistical Analysis
- Data Handling, Analysis & Presentation of Data
- Questions, hypothesis testing and probability
- Correlation & Linear Regression
- Content Review
- The t-test
- One-way ANOVA
- Progress Review
- Presenting Data: Written Reports
- Experimental Design
- Presenting Data: Seminars
- Further Statistical Techniques
No eligibility requirements
Additional requirements
- Other requirements - Weekly online 1 hour tutorial; 3 x half day online workshops per semester. 2 optional Course wide field trips are conducted.
In this subject, you will be introduced to mathematical and statistical methods for analysing scientific, business or technical data to inform and support decision-making. You will explore why data is needed and how it is used to make decisions, including how data are collected, analysed, interpreted and presented, and you will learn and apply a suite of common statistical and mathematical methods to generate evidence for decision-making. You will also be introduced to data management software and learn how to represent and communicate mathematical and statistical information effectively. Through case studies relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.
This subject also builds on concepts of learning through practice from Year 1 by introducing you to more complex learning experiences including:
- discipline-based skills and knowledge in dynamic practice situations. This will include authentic and purposeful, industry-related experiences
- concepts of managing effective relationships and communicating with others
- the development and use of adaptive leadership skills and how these skills relate to innovative and entrepreneurial practice
- the nature of responsible, accountable, and reflective workplace skills, and creative and critical thinking relevant to para-professional practice.
You will exercise self-awareness, initiative, and judgement to manage yourself and professional relationships effectively. The application of tacit knowledge and capabilities will be reflected in a Practice Manual.
- Exploring Data as Evidence (20%)
- Data Analysis (35%)
- Communicating Data for Decision Making, with Peer Feedback (45%)
For textbook details check your university's handbook, website or learning management system (LMS).