MGMT5504 Data Analysis and Decision Making

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Semester 2UWA (Perth)Face to face
Content
This unit introduces data analysis and decision-making tools that students are able to use to manage their own day-to-day work. Students are able to identify situations in which quantitative analysis can support problem solving and decision making. They also gain practical experience in applying statistical and decision analysis techniques and statistical packages (generally Excel) in management contexts. Topics include introduction to modelling of organisations and business problems, measurement, variability, uncertainty, statistical tests and quantitative approaches to decision making. The unit provides a foundation for quantitative techniques used in other master's degree units.
Outcomes
Students are able to (1) identify fit-for-purpose statistical approaches to address management concerns; (2) explain data quality issues and collection methods; (3) use a range of appropriate statistical tools and techniques; (4) interpret statistical findings in a clear, concise and non-technical way; (5) translate statistical findings into managerial actions; (6) critically appraise quantitative reporting; and (7) communicate decision analysis results to stakeholders.
Assessment
Indicative assessments in this unit are as follows: (1) activity quizzes; (2) statistics in practice project; and (3) examination. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Dr Rajiv Amarnani (Semester 1), Dr Ying Huang (Semester 1), Dr Darja Kragt (Online Semester 1), Dr Catherine Leighton (Semester 2)
Unit rules
Incompatibility:
MGMT5513 Data Driven Decision Making
Contact hours
lectures/seminars/workshops: up to 3 hours per week
Unit Outline
Semester 1_2019 [SEM-1_2019]
Semester 1_2019_ONLINE [SEM-1_2019_ONLINE]
Semester 2_2019 [SEM-2_2019]
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.