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FIN5100 Data and Decision Making

Trimester 2, 2023 Springfield On-campus
Units : 1
School or Department : School of Business
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Course Coordinator:

Requisites

Enrolment is not permitted in FIN5100 if ACC5502 has been previously completed.

Overview

This course will provide the opportunity to build capacity to interact fluently and confidently and to direct the financial and business analysis sections of the organisation. This course prepares you to be able to interrogate data and information to diagnose organisational performance and identify opportunities to inform decisions. Knowing your data and their relationship to organisational performance is a skill that leaders use to make strategic organisational decisions. This course provides foundation of knowledge that shifts operational thinking into strategic mindset using a variety of special tools in a data driven world.

This introductory course focuses on developing individual financial literacy skills and knowledge through reflective practice. You will build capacity to undertake meaningful financial data analysis that will support engagement in future roles and challenges in a global business environment across various sectors. You will appreciate the importance of collaboration with different stakeholders in order to interrogate, interpret and synthesize data from different sources using appropriate technologies to review current business status and make evidence-based decisions for the future. A key focus is to ensure comprehension of the financial statements and performance management concepts, theories and frameworks that support business performance and inform decision making. The course will support you to encourage innovation, manage risk and promote sustainability in all aspects of business operation. You will engage with case scenarios and collaborate problem solving to raise your awareness that the business of the future will operate in a different capital market, where short- and long-term rewards will flow from responsible business and value creation.

Course learning outcomes

On completion of this course students should be able to:

  1. use reflective practice to review individual financial literacy skills and knowledge and build capacity to source and use data to make decisions that address future roles and challenges in a global business environment;
  2. analyse how financial data can inform evidenced based decisions to encourage innovation, manage risk and promote sustainability in the business environment;
  3. analyse and interpret data by applying financial and non-financial performance indicators, concepts, theories, and interpret financial reports to support financial performance analysis and inform decision making across various sectors;
  4. collaborate with both specialist and non-specialist stakeholders to review current business status based on analysis of financial and other data and consider the impact of corporate social responsibility and sustainability;
  5. investigate organisational risk and performance by interpreting and synthesizing data from different sources using available technologies.

Topics

Description Weighting(%)
1. The importance of financial literacy and sources of data to analyse business performance across various sectors 20.00
2. The impact of data analysis and other factors on cash flow and other business decisions 20.00
3. Analysing financial and non-financial data (e.g., ESG factors) to determine, report and communicate business performance across various sectors 20.00
4. Collaboration to ensure informed business analysis, impacts of data insights and other factors on business operations and planning 20.00
5. Finance data analytics for enhanced decision making and finance for responsible value creation 20.00

Text and materials required to be purchased or accessed

Jaggia, S, Kelly, A, Lertwachara, K, Chen, L 2023, Business Analytics, 2nd edn, McGraw Hill.
(Also available as an ebook.)

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Reflection (personal/clinical) No 15 1
Assignments Written Problem Solving 1 Yes 35 2,3,4
Assignments Written Problem Solving 2 No 50 2,3,5
Date printed 9 February 2024