24754 Studio 2: Specialisation
Warning: The information on this page is indicative. The subject outline for a
particular session, location and mode of offering is the authoritative source
of all information about the subject for that offering. Required texts, recommended texts and references in particular are likely to change. Students will be provided with a subject outline once they enrol in the subject.
Subject handbook information prior to 2025 is available in the Archives.
Credit points: 6 cp
Subject level:
Postgraduate
Result type: Grade and marksRequisite(s): (23708 Studio 1: Foundation AND (26776 Foundations of Business Analytics OR 22804 Business Analytics Foundations))
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.
Description
The Specialisation Studio will allow students to apply their analytics skills, to an area of analytics, and take students through all the steps required in a business analytics project. In this studio, student teams will be provided with some real-world tasks and problems, from a range of industries (e.g. Finance, Marketing and Health). Students will choose an area that interests them and will develop a solution that effectively communicates the results.
Subject learning objectives (SLOs)
| 1. | apply multiple data analytic techniques to data in order to convey recommendations that are actionable in a local and international setting |
|---|---|
| 2. | analyse assumptions of data analytics techniques that can affect the representation of cultural groups |
| 3. | evaluate data analysis techniques for decision making |
| 4. | assess the data analysis process to ensure that it is performed professionally and ethically and takes into account indigenous values |
| 5. | apply advanced data analytic techniques to business problems to extract meaningful insights from complex contexts |
Course intended learning outcomes (CILOs)
This subject also contributes specifically to the following program learning objectives:
- Evaluate the assumptions implicit in data and apply analytical techniques to create innovative business solutions (1.1)
- Critically evaluate data practices and use these insights to improve analytical processes which drive positive and equitable outcomes (3.1)
- Integrate advanced data analysis techniques with business practices to deliver new insights that drive effective decision-making in local and international contexts (4.1)
Contribution to the development of graduate attributes
This studio is designed to help students integrate and apply knowledge from their previous subject’s data analytics and present results. The students will write a report based on the findings that convey key recommendations and extract insights from data. Students will be expected to discern and evaluate what are the appropriate analytical techniques to be used with different types of data.
Students’ understandings of issues regarding representation of cultural groups in data analytics will be developed, and ethical issues in data analytics will be discussed.
This subject is aligned with the following graduate attributes:
- Intellectual rigour and innovative problem solving
- Social responsibility and cultural awareness
- Professional and technical competence
Teaching and learning strategies
This subject synthesises knowledge acquired in different subjects from the Business Analytics course.
Students will also use appropriate statistical software such as R and SAS, to complete assigned tasks. The project will be an authentic assessment using problems from industry partners.
The subject is taught by academic staff as well as industry professionals in an interactive setting. Both academic and industry staff will help guide and facilitate discussions in class as well as using webinar technologies.
Students are required to watch assigned videos and read specified articles and case study material in preparation for each class. These learning materials will be available on the subject webpages on the learning management system.
Students will be involved in active learning experiences during class. These experiences will be completed in collaboration with other students and will provide students with the opportunity to obtain in-class peer feedback on their learning as well as direct feedback from their lecturer. Additionally, feedback will be given to students online via video conferencing (e.g. Skype, Zoom) during times specified by the lecturer.
An aim of this subject is to help you develop academic and professional language and communication skills to succeed at university and in the workplace. During the course of this subject, you will complete a milestone assessment task that will, in addition to assessing your subject-specific learning objectives, assess your English language proficiency.
Content (topics)
- Using software to analyse data
- Effective report writing
- Problem Solving
- Critical Thinking
- Determining Key Insights
- Teamwork Skills
Assessment
Assessment task 1: Project Report and Analysis
| Objective(s): | This addresses subject learning objective(s): 1, 3 and 5 This addresses program learning objectives(s): 4.1 |
|---|---|
| Groupwork: | Group, individually assessed |
| Weight: | 65% |
Assessment task 2: Reflective Essay
| Objective(s): | This addresses subject learning objective(s): 2, 3 and 4 This addresses program learning objectives(s): 1.1 and 3.1 |
|---|---|
| Groupwork: | Individual |
| Weight: | 35% |
Minimum requirements
Students must achieve at least 50% of the subject’s total marks.
References
Camm, Jeffrey D., Cochran, James J., Fry, Micahel J., and Ohlmann, Jeffrey W., Business Analytics - 5th Edition, Cengage.