Courses & Units

Data Analysis and Management BAA710


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.


Unit name Data Analysis and Management
Unit code BAA710
Credit points 12.5
College/School College of Business & Economics
Tasmanian School of Business and Economics
Discipline Tasmanian School of Business and Economics
Coordinator Doctor Saeed Loghman
Delivered By University of Tasmania
Level Postgraduate


Location Study period Attendance options Available to
Hobart Winter school On-Campus International Domestic
Online Winter school Off-Campus International Domestic


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Winter school 29/5/2023 6/6/2023 19/6/2023 9/7/2023

* 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 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

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
020303 $1,037.00 $1,037.00 not applicable $2,837.00

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.


Concurrent Prerequisites

BAA402 Designing Research

Mutual Exclusions

You cannot enrol in this unit as well as the following:

BMA418, BAA405


Teaching Pattern

In each module students will be provided with a suite of online materials that will include
- Pre-recorded content lectures
- Video demonstrations of software usage
- Practical activities to guide students through the execution of analytical tasks using the software programs

During the teaching weeks, teaching staff will supplement the online content with real-time interactive teaching sessions.

AssessmentResearch Report 1 (50%)|Research Report 2 (50%)
TimetableView the lecture timetable | View the full unit timetable



Required readings will be listed in the unit outline prior to the start of classes.

LinksBooktopia textbook finder

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