Overview

Become empowered as a quantitative citizen. By leveraging open data and the most powerful open source software available today you will learn how to fish, rather than be fed. This course is designed to develop thinking, computing and analytic skills for working with data for evidence-based solutions of today's problems. … For more content click the Read More button below.

Notes

You can enrich your degree by honing your academic and professional skills through the Monash Innovation Guarantee (MIG). The MIG is your unique opportunity to collaborate with renowned industry leaders and design innovative solutions that result in real social change. MIG will give you the leadership skills you will need to adapt and thrive in a rapidly changing world and is your chance to make connections before you graduate. The MIG unit may be credited in place of a free elective as a 6 credit point unit option. For information on eligibility please see FREE.

Mode and location

On campus

Learning outcomes

These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.

Upon successful completion of this course it is expected that you will be able to:

1.

critical and creative scholars who:

  • produce innovative solutions to data analysis problems
  • apply research skills to business challenges
  • communicate effectively and perceptively
2.

responsible and effective global citizens who:

  • engage in an internationalised world
  • exhibit cross-cultural competence 
  • demonstrate ethical values
3.

effective data analysts able to:

  • identify and collect appropriate and relevant data
  • write computer scripts and programs to wrangle and plot data, fit models, make predictions and produce reproducible reports, presentations and web apps
  • interpret statistical models in the context of real data problems, and translate technical results into practical solutions.

Structure

The course is structured in three parts: Part A. Advanced preparatory, Part B. Mastery knowledge and Part C. Application studies.

Part A. Advanced preparatory

These units will provide you with the knowledge base required for advanced studies in business analytics.

Part B. Mastery knowledge

These units will develop your understanding of sourcing and analysing data and will enable you to provide discipline based solutions.

Part C. Application studies

The focus of these studies is professional or scholarly work that can contribute to a portfolio of professional development. This will be achieved by selecting complementary units offered across the university.

Master's entry points

Depending on prior qualifications you may receive entry level credit (a form of block credit) which determines your point of entry to the course:

  • If you are admitted at Entry level 1 you complete 96 credit points, comprising Part A, Part B and Part C
  • If you are admitted at Entry level 2 you complete 72 credit points, comprising Part B and Part C

Note: Students eligible for credit for prior studies may elect not to receive the credit and complete one of the higher credit point options.

Course progression map

The course progression map provides guidance on unit enrolment for each semester of study.

Requirements
96 credit points

Part A. Advanced preparatory24 credit points
Part B. Mastery knowledge 48 credit points
Part C. Application studies 24 credit points

Alternative exit(s)

You may exit this course early and apply to graduate with one of the following awards, provided you have satisfied the requirements for that award during your enrolment in this master's course:

  • Graduate Certificate of Business (B4001) after successful completion of 24 credit points of study with a minimum of 18 credit points at Level 4 or above
  • Graduate Diploma of Business (B5001) after successful completion of 48 credit points of study with a minimum of 36 credit points at Level 4 or above.