Course Title: Introduction to Business Analytics

Part A: Course Overview

Course Title: Introduction to Business Analytics

Credit Points: 12.00

Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
ISYS3446	City Campus	Undergraduate	665H Accounting, Information Systems and Supply Chain	Face-to-Face	Sem 1 2022, Sem 1 2023, Sem 1 2024
ISYS3447	RMIT University Vietnam	Undergraduate	665H Accounting, Information Systems and Supply Chain	Face-to-Face	Viet1 2023, Viet3 2023, Viet2 2024

Flexible Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
ISYS3446	City Campus	Undergraduate	665H Accounting, Information Systems and Supply Chain	Internet	JulDec2024 (All)
ISYS3446	City Campus	Undergraduate	665H Accounting, Information Systems and Supply Chain	Internet	JanJun2025 (All)

Course Coordinator: Dr Araz Nasirian

Course Coordinator Phone: +61 3 9925 5405

Course Coordinator Email: araz.nasirian@rmit.edu.au

Course Coordinator Location: Building 080 Floor 08 Room 044-001

Course Coordinator Availability: Via appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities

None

Course Description

Business analytics have been increasing used in organisations to inform responsive, evidence based decision-making for improving business performance. Modern organisations that fully leverage business analytics are able to reveal business value from the data and gain competitive advantages over rivals. This course introduces the concepts, fundamentals and tools of business analytics. You will learn to critically examine how business data can be used to drive decision making and actions through the application of business analytics techniques and tools required for descriptive analytics, predictive analytics, and prescriptive analytics. You will also evaluate and apply techniques and tools required for business analytics to inform decision-making within organisations.

Objectives/Learning Outcomes/Capability Development

.

On successful completion of this course, you will be able to:

CLO1: Explain how business analytics can be used to drive decision-making in organisations. CLO2: Evaluate and pre-process relevant business data before applying business analytics techniques. CLO3: Apply appropriate business analytic techniques and tools to extract business insights. CLO4: Justify the effectiveness of business analytics techniques and tools in informing decision-making in different contexts. CLO5: Communicate business insights to inform responsive, evidence-based decision making.

Overview of Learning Activities

In this course you will be encouraged to be an active learner. Your learning will be supported through various learning activities. These may include quizzes; assignments; prescribed readings; sourcing, researching and analysing specific information; solving problems; conducting presentations; producing written work and collaborating with peers on set tasks or projects.

Overview of Learning Resources

Various learning resources are available online through MyRMIT Studies/Canvas. The lecture notes and workshop notes are posted on Canvas.

RMIT Library provides extensive resources, services and study spaces. All RMIT students have access to scholarly resources including course related material, books, e-books, journals and databases.

Computers and printers are available at every Library. You can access the Internet and Library e-resources. You can also access the RMIT University wireless network in the Library.

Contact: Ask the Library for assistance and information on Library resources and services: http://www.rmit.edu.au/library. Study support is available for assistance with assignment preparation, academic writing, information literacy, referencing, maths and study skills.  Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.

Overview of Assessment

The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows:

Assessment Task 1: 30%
Linked CLOs: 1, 2, 3, 5

Assessment Task 2: 40%
Linked CLOs: 1, 2, 3, 4, 5

Assessment Task 3: 30%
Linked CLOs: 1, 3, 4, 5

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.