Foundations of Business Analytics (CMCE10002)

Undergraduate level 1Points: 12.5On Campus (Parkville)

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Overview

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Semester 2
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This subject provides students with a foundational understanding of business needs and technology trends driving investment in business analytics and big data technologies, challenges in data governance and ethical challenges associated with integrating and managing business analytics as a core business capability.

Drawing on a diverse set of real‐world applications and contexts (e.g., HRM, operations, marketing, finance analysis, corporate strategy and policy analysis), students will explore fundamentals associated with managing data acquisition, development of large data bases, choice of analytic methods, and tools and implementation in a broad set of business and policy‐based contexts.

Through these case studies, students will develop their understanding of the applications of business analytics as well as the social and ethical implications of business analytics, an understanding of emerging directions in business analytics applications and the opportunity to familiarise themselves with the basis of different analytics applications used in a variety of business contexts. 

Intended learning outcomes

On successful completion of this subject, students should be able to:

  • Explain frameworks and applications of business analytics in problem solving and decision‐making;
  • Relate ethical principles to the collection, storage, and use of data by business and government organisations;
  • Demonstrate methods to locate, prepare, and manage data to acquire, describe, visualise, and analyse data, as well as and make predictions and draw inferences for business decision‐making;
  • Communicate the results of a business analytics project to a non‐technical audience of decision‐makers and stakeholders; and
  • Critically evaluate various ways in which data analysis and inferences are made using different types of analytics methods.

Generic skills

On successful completion of this subject, students should have improved the following generic skills:

  • Moderate level of skills in: oral and written communication; critical thinking; receptiveness to alternative ideas; collaborative learning and teamwork; use of computer software appropriate information technologies.
  • Some basic skills in: problem solving; analytical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; accessing data and other information from a range of sources and ethical judgement.

Last updated: 17 April 2025