Basic understanding of mathematics. Basic familiarity with Microsoft Excel.
Master of Business Administration; Graduate Diploma in Business Administration; Graduate Certificate in Business Administration; Master of Accounting
This topic will introduce students to the platform, tools, types of data and analysis applicable to managerial decision making in a business context. Decisions requiring mathematical analysis within accounting, finance, management and economics will be reviewed and explored. Basic mathematical and statistical concepts will be briefly refreshed and then utilised, including within the Microsoft Excel platform. Within this platform data will be assessed for its relevance and then manipulated to produce information of value to the user.
This topic is designed to give the graduate the confidence to explore various mathematical and statistical tools, some through Microsoft Excel. The topic aims to provide analytical tools and skills that students can apply to their work environments to enhance the decision making process by the inclusion of appropriate data analysis. The overarching aim of this topic is to give the students the understanding and confidence to explore the various analytical options made available in their workplace and to be able to utilise these options.
Expected learning outcomes
On successful completion of this topic, students will be able to:
Utilise financial mathematical and statistical concepts and techniques applicable to the analysis of relevant data for business decisions
Organise and analyse data relevant to the problems they encounter as managers within both business and large institutional organisations
Summarize the data and present them graphically
Perform various statistical tests
Estimate least-squares regressions.
Key dates and timetable
Timetable details for 2019 are no longer published.
This information is from current details held on the Student Information System. Please report any errors or omissions to the relevant College Office.
If you consent to the use of our cookies then please click the button below:
If you do not consent to the use of all our cookies then please click the button below. Clicking this button will result in all cookies being rejected except for those that are required for essential functionality on our website.