MIS771 - Descriptive Analytics and Visualisation
Unit details
Year: | 2023 unit information |
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Enrolment modes: | Trimester 1: Burwood (Melbourne), Online Trimester 2: Burwood (Melbourne), Online |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Previously coded as: | MBA891, MGQ791, MSB791, MSQ602, MSQ701, MSQ791 |
Assumed Knowledge: | The unit assumes students have already completed foundational study in statistics at undergraduate level and have some familiarity with basic statistical concepts and inferential techniques. In particular, understanding of descriptive statistics and structure of probability is necessary. |
Unit Chair: | Trimester 1: Dilal Saundage Trimester 2: Dilal Saundage |
Prerequisite: | Nil |
Corequisite: | Nil |
Incompatible with: | MAF256, MSQ271 |
Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. |
Scheduled learning activities - campus: | 1 x 2 hour class and 1 x 1 hour laboratory per week |
Scheduled learning activities - online: | 11 x 2 hour class (livestreamed with recordings provided) + 11 x 1 hour online seminar/workshop |
Note:*Students who are either enrolled in or have completed MIS770A - please contact a student adviser buslaw@deakin.edu.au |
Content
This unit focuses on the techniques and approaches to analysing business data to support decision making. It covers exploratory data analysis, visualisation of data and evidence-based decision making. The unit aims to give students a broad understanding of statistical approaches used to support business decisions, their limitations, typical application areas, managerial reporting of statistical results and incorporating insights into the business decision-making process. Extensive use is made of software to develop data visualisation and analysis skills and to enhance the appreciation of various techniques studied. The unit assumes students have already completed foundational study in statistics at undergraduate level and have some familiarity with basic statistical concepts and inferential techniques. In particular, understanding of descriptive statistics and structure of probability is necessary.
ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
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ULO1 | Solve complex problems using quantitative reasoning skills. | GLO1: Discipline-specific knowledge and capabilities GLO5: Problem-solving |
ULO2 | Plan, monitor, and evaluate own learning as an analytics professional. | GLO6: Self-management |
ULO3 | Communicate solutions that inform decision-making and ongoing research to a variety of stakeholders. | GLO1: Discipline-specific knowledge and capabilities GLO2: Communication |
Assessment
Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
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Assessment 1: (Individual) Project Part A: Data Analysis Part B: Report | Part A: - Part B: 1500 words | Part A: 10% Part B: 20% | Week 6 |
Assessment 2: (Individual) Project | Part A: - Part B: 1500 words | Part A: 15% Part B: 20% | Week 11 |
Assessment 3 (Individual) Project | Part A:- Part B:- Part C:- | Part A: 15% Part B: 10% Part C: 10% | Week 13 |
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Learning Resource
The texts and reading list for the unit can be found on the University Library via the link below: MIS771 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
Unit Fee Information
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