Courses & Units
Data Analysis and Management BAA710
Introduction
Students will acquire the skills and techniques required to analyse and manage data, interpret results, and report data analysis methods and findings in a business environment. Qualitative and quantitative research approaches are examined to consider their respective contributions, discretely and in combination, to knowledge development through empirical research. The quantitative component covers basic statistical thinking and data analysis techniques. A strong emphasis will be placed on the logic underlying statistical concepts such as probability and probability distributions, normal distribution, sampling distributions, parameter estimation, and hypothesis testing. A range of data analysis techniques will also be covered, including t-test, Analysis of Variance, cross tabulation, regression, correlation, and factor analysis. There is a strong emphasis on the application of statistical techniques to practical research problems in a business context. The statistical computer package SPSS will be used for the statistical analysis of data. The qualitative component examines principles and techniques for organising, analysing and reporting qualitative data. The central principle of this component is the execution of rigorous qualitative data analysis through ‘good housekeeping’ –undertaking, recording and demonstrating careful, rational decision-making in qualitative data analysis (Marshall, 1999). Consequently, strategies for undertaking and reporting analysis of qualitative data are equally emphasised. Strategies for data analysis will include techniques for organising, searching, retrieving and interpreting qualitative data to develop and test theoretical conclusions. Strategies for reporting analytical processes will incorporate techniques for recording and describing data analysis, including the articulation of theoretical conclusions and the use of qualitative data to illustrate and support conclusions drawn. Data analysis processes will be undertaken using NVivo, a computer software program for qualitative data analysis.
Summary
Unit name | Data Analysis and Management |
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Unit code | BAA710 |
Credit points | 12.5 |
College/School | College of Business & Economics Australian Institute of Health Service Management |
Discipline | Australian Institute of Health Service Management |
Coordinator | Doctor Saeed Loghman |
Delivered By | University of Tasmania |
Level | Postgraduate |
Availability
Location | Study period | Attendance options | Available to | ||
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Hobart | Winter school | On-Campus | International | Domestic | |
Online | Winter school | Off-Campus | International | Domestic |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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Key Dates
Study Period | Start date | Census date | WW date | End date |
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Winter school | 3/6/2024 | 11/6/2024 | 24/6/2024 | 14/7/2024 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Develop and justify research questions and hypotheses
- Apply principles of qualitative data analysis and quantitative data analysis
- Apply conventions for reporting analyses and results from qualitative data analysis and quantitative data analysis
- Derive evidence-based conclusions from data analysis
Fee Information
Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
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020303 | $1,118.00 | $1,118.00 | not applicable | $2,979.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
BMA418, BAA405Teaching
Teaching Pattern | In each module students will be provided with a suite of online materials that will include During the teaching weeks, teaching staff will supplement the online content with real-time interactive teaching sessions. |
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Assessment | Research Report 1 (50%)|Research Report 2 (50%) |
Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.