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1 year full-time
On-campus (face-to-face)
Level 3 & 4, 545 Kent Street, Sydney NSW 2000, Australia
Full-time · 12 hours of classes per week (4 units); approximately 7–9 hours per week per unit for self-directed study
February | March | May | June | August | September | October | November | Semester 1 Block 4 (27 May 2026 Orientation, 1 Jun 2026 Start of Classes)
Course Overview
Eligibility
Tuition fee
Course tuition fee over 1 year: $22,000 (2024) / $23,120 (2026). Fee per unit: $2,750 (2024) / $2,890 (2026). All fees are in Australian dollars. Fees are subject to change without notice. Course fees are to be paid in full before enrolment/selection of subjects in any given semester.
Duration
1 year full time
Intakes
February | March | May | June | August | September | October | November
Study mode
On-campus / Full-time
Career & Study Pathways
Course Content
Information Systems Applications in Business
Introduces the most relevant concepts used to manage the integration of information systems (IS) into business and society. Covers theoretical and practical understanding of business information systems, and builds awareness of the relationship between IS functionality and business process requirements.
Database Management System
Introduces fundamentals of relational databases, data modelling using entity relationship diagrams, SQL and procedural language (PL). Also covers data analysis, sharing options, database security, distributed database management systems and data mining.
Software Development
Covers fundamentals of software development including investigating client application software problems, designing solutions using a programming language such as Python, and the full software development lifecycle including writing specifications, testing and design.
Systems Analysis Design
Covers principles of analysis and design for information systems, data requirements gathering and analysis, data modelling at conceptual, logical and physical levels, functional dependencies and domain normalisation using a user-centred design approach.
Big Data and Visualisation
Introduces concepts of big data analytics and visualisation, business motivations and drivers for big data adaptation, enterprise technologies, big data business intelligence, algorithms and machine learning techniques, and data visualisation tools and techniques. Pre-requisite: MBIS4002 & MBIS4003.
Business Process Modelling
Facilitates examining and improving business operations using business process modelling software tools, with a focus on solving complex business problems and improving organisational effectiveness and efficiency. Pre-requisite: MBIS4004 (Co-requisite).
Professional Practice in Information Systems
Educates students about ethical, legal and social issues for information systems professionals, including data and privacy, confidentiality, cybercrime and internet fraud. Develops negotiation and conflict resolution skills.
Discovering Data Analytics
Develops conceptual understanding of data analytics in real-world applications covering data collection, management, wrangling, analytics and visualisation, and the data science project lifecycle. Also addresses privacy, surveillance, security and ethical issues. Assists students in preparing for the Google Data Analytics Professional Certificate. Pre-requisite: MBIS4002 & MBIS4003.
Common Questions
The total course tuition fee is AUD $22,000 over 1 year (2024 fees) or AUD $23,120 (2026 fees), with a fee per unit of AUD $2,750 (2024) or AUD $2,890 (2026). The course consists of 8 units worth 10 credit points each, totalling 80 credit points. All fees are in Australian dollars and are subject to change without notice.
To complete the Graduate Diploma of Business Information Systems (Data Analytics), you must pass 8 units consisting of 6 core units and 2 specialisation units, totalling 80 credit points (10 credit points per unit). The course also contains a nested exit qualification — the Graduate Certificate of Business Information Systems — which is awarded after completing the first 4 core units (approximately 6 months full-time).
The course has multiple intakes throughout the year: February, March, May, June, August, September, October, and November. For example, the 2026 Semester 1 Block 4 intake has an Orientation on 27 May 2026 and classes starting 1 June 2026, with a census date of 8 June 2026.
The course is available at two campuses: Sydney (Level 3 & 4, 545 Kent Street, NSW 2000) and Melbourne (Level 1, 20 Queen Street, VIC 3000). The course is delivered full-time on-campus, with 12 hours of classes per week for 4 units. Students are also expected to set aside approximately 7–9 hours per week per unit for self-directed study such as assignments, readings, and exam preparation.
Completion of the Graduate Diploma of Business Information Systems (Data Analytics) provides direct entry and advanced standing into the Master of Business Information Systems (Data Analytics) at AIH. The course is specifically designed as both an exit qualification and an alternative pathway into the Master's level qualification.
The CRICOS code for the Graduate Diploma of Business Information Systems (Data Analytics) is 111496C. The course is open to both domestic and international students. Domestic students include Australian or New Zealand citizens, Australian permanent residents, or holders of a permanent Australian humanitarian visa. International students applying for a 500 Student visa must also complete a Genuine Student (GS) Assessment Form.
Application
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Step 01
Enquire
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Step 02
Submit Documents
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Step 03
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Processing time: Offer letter issued within approximately 1 business days.
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India
Master of Nursing · Griffith University
