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Overview

This subject introduces you to business and data analytics with a strong focus on practical outcomes that are directly applicable to business contexts. It delivers a comprehensive understanding of current theories, frameworks, applications and technologies that support modern data-driven decision-making process. You will gain hands-on experience in IBM Cognos, SAP … For more content click the Read more button below.

Portfolio

Arts, Social Sciences & Commerce (Pre 2022)

Subject coordinator

Stuart Black

Subject type

Postgraduate

Year level

Year Level 5 - Masters

AQF level

Level 9 - Masters Degree

Available as elective

No

Available to study abroad / exchange students

No

Capstone subject

No

Academic progress review - Schedule A subject

No

Subject instances

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Learning resources

Career ready

Career focused:This subject contains career development learning or professional engagement opportunities
Work based learning (placement):No

Graduate capabilities

COMMUNICATION - Communicating and Influencing
DISCIPLINE KNOWLEDGE AND SKILLS
INQUIRY AND ANALYSIS - Creativity and Innovation
INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

Subject intended learning outcomes

On successful completion you will be able to:
1.
Examine the purpose and importance of analytics within a business environment, alongside implications for technologies, workflows, participation and management.
2.
Analyse and evaluate the function of key elements of a typical analytics solution; technology infrastructure, data architecture, data management, analytics methodologies, analytics techniques, reports, dashboards, responsibilities of groups and individuals within the business environment.
3.
Evaluate requirements, methodologies and technologies for analytics-based business performance management.

Learning activities

Lectures, Workshop activities and assessments

Requisite rules

Prerequisites: Students must be admitted in one of the following courses: LMBAN, LCBAN, LGBAN, LMMBA, LMMBAA, LMMBAO, LMPABA, SMDS, HMDH

Quota information

Quota management strategy: Merit based quota management
Quota reason:limited learning spaces
Quota - conditions or rules:

By the order of application to subject coordinator.