Program Overview

Bachelor of Business Analytics

The Bachelor of Business Analytics provides students with essential interdisciplinary knowledge and skills to tackle contemporary business challenges in a data-driven world. This course equips students with expertise in data analysis, predictive modelling, data management, and visualisation. Emphasising hands-on learning through real-world projects, the program prepares graduates for various sectors like business management, finance, healthcare, marketing, and technology, ensuring they can leverage data to drive decision-making, innovation, and enhance organisational performance.

Overview

The Bachelor of Business Analytics aims to equip students with the ability to use advanced analytics tools and technologies to interpret and analyse business data. This course provides students with multidisciplinary knowledge of both business principles and data analytics, preparing them for the future of work in the data-driven business environment.

Course Offerings

• Mode of delivery: In person
• Student type: Domestic, Onshore international
• Offer status: Active

Program of Study

To qualify for the Bachelor of Business Analytics, a student must complete 108 units with a grade of P or NGP or better in each topic, according to the program of study below.

Year 1

• First half:
  • BUSN1022: Marketing Principles in the Digital Era (4.5 Units)
  • BUSN1023: Harnessing the Power of Fintech (4.5 Units)
  • COMP1002: Fundamentals of Artificial Intelligence (4.5 Units)
  • COMP1102: Computer Programming 1 (4.5 Units)
• Second half:
  • BUSN1009: Interpreting and Visualising Business Data (4.5 Units)
  • BUSN1011: Finance and Accounting for Leaders (4.5 Units)
  • BUSN1025: Coding for Business (4.5 Units)
  • INNO1001: Innovative and Creative Thinking: Recognising Opportunities (4.5 Units)

Year 2

• First half:
  • BUSN2028: Uncovering Global Market Insights (4.5 Units)
  • BUSN2053: Building Resilience and Professional Skills (4.5 Units)
  • BUSN3074: HR Information Systems & Analytics (4.5 Units)
• Second half:
  • BUSN2031: Business Forecasting (4.5 Units)
  • COMP1711: Database Modelling and Information Management (4.5 Units)
• Minor or Electives: Select 13.5 units of the Data Analytics minor, or 13.5 units of electives from across the university where requisites are met.

Year 3

• First half:
  • BUSN3027: Digital Marketing and Analysis (4.5 Units)
  • COMP3781: Cybersecurity (4.5 Units)
• Flexible Core: Select 4.5 units from the below.
  • BUSN3044: Industry Placement (4.5 Units)
  • BUSN3073: Engaging with Industry (4.5 Units)
• Second half:
  • BUSN2059: Supply Chain Analytics (4.5 Units)
  • BUSN3055: Using Strategy for Business Transformation (4.5 Units)
  • BUSN3065: AI, Cybersecurity and the Future of Work (4.5 Units)
  • BUSN3075: Data Warehousing and Decision Making (4.5 Units)
• Minor or Electives: Select 4.5 units of the Data Analytics minor, or 4.5 units of electives from across the university where requisites are met.

Admission Requirements

The minimum requirements for consideration for entry to all undergraduate courses are specified in detail in the University Entry Requirements.

English Language Requirements

International Student English Language Requirements apply.

Aims

The Bachelor of Business Analytics aims to equip students with the ability to use advanced analytics tools and technologies to interpret and analyse business data.

Learning Outcomes

On completion of the course, you will be able to:

1. Extract valuable business insights from large datasets using data analysis techniques
2. Use data analytics software systems to solve business problems
3. Communicate technical advice derived from analysing business data to a wide range of stakeholders to inform business decision-making
4. Analyse the impact of business practices using theoretical and technical knowledge, focusing on socially responsible and ethical perspectives
5. Apply theoretical knowledge, technical data analytics techniques, and critical judgement to provide solutions to routine business analytics problems
6. Critically apply broad theoretical and technical business analytics to inform business planning and strategy across various disciplines and contexts

Student Progression Rules

Failure to complete the course within ten consecutive years may constitute prima facie evidence of unsatisfactory progress for the purposes of the University's Policy on Student Progress.

College

College of Business, Government and Law

Unit Value

108

Course Type

Course

Level of Study

Undergraduate

AQF Level

7 Bachelor degree

Standard Full-time Duration

3 Year/s

Maximum Time Allowed (Years)

10