Graduate Diploma of Business Information Systems (Data Analytics)
Course Overview
AIH’s Graduate Diploma of Business Information Systems (Data Analytics) is embedded in the Master of Business Information Systems (Data Analytics) and has been designed as an exit qualification and an alternative pathway to further study in the Master level qualification.
It equips students with the skills needed for paraprofessional of executive and management roles in ICT sector with proficient data analytics knowledge and skills and further study at the postgraduate level.
The course is underpinned by business information systems core units such as information systems applications in business, software development, systems design, database management system, professional practice in information systems and business process management, and as such, reflect the AIH’s Graduate Attributes. It is further enhanced by the specialised data analytic units such as big data and data visualisation and discovering data analytics.
Due to the rapidly changing environment, especially in the job market, the Graduate Diploma of Business Information Systems (Data Analytics) focuses on future-proofing graduates with the graduate attributes and learning outcomes to adapt and strive in their career progression.
Within the Graduate Diploma of Business Information Systems (Data Analytics) is a nested exit qualification Graduate Certificate of Business Information Systems.
Nested Qualification and Exit Awards
- Graduate Certificate of Business Information Systems – (6 months full-time)
Key information
CRICOS Code: 111496C
Duration:
1 year full time
AQF level:
8
Campus:
– Sydney
– Melbourne (commencing 2024)
Course Intakes:
February, May, August, October
Student:
Domestic and International
Credit points per unit:
10
Total Credit Points
required for award:
80
2023 Fees
Course tuition Fee
Over 1 year
$22,000
Fee per unit:
$2,750
Notes:
All fees and charges listed 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. AIH ensures that the conditions and processes for international and domestic students to apply for a refund of tuition fees are equitable and comply with government regulations. Refer to Refund Policy for International and Domestic Students.
What you will learn
Study Hours
As a student, you will need to allocate time to attend classes. Generally, if you are studying full-time, you will have 12 hours of classes each week (for 4 units), on-campus. In addition, you will need to set aside approximately 7-9 hours per week for each unit in your own time to complete assignments, readings, projects, workshop preparation and to prepare for tests and exams.
Assessment
Your studies at AIH will encompass practical, professionally focused, and project-based learning, so assessment types will vary. You can expect them to include (the list is not exhaustive):
- Individual and team-based projects
- Case studies and presentations
- Essays, assignments and reports
- Exams
- Practical assessments
- Discussion forums
- Participation in class including formative assessment activities
Learning Outcomes
- Demonstrate comprehension of data analytics theory and practice within the business information systems field.
- Analyse data analytics issues within business scenarios, and design solutions to demonstrate awareness of professional practice.
- Recommend solutions to complex data analytics problems using analytical and technical capabilities of information systems.
- Appraise and apply data analytics and business information systems expertise and explain findings to stakeholders.
- Apply leadership, management and interpersonal skills required to effectively work in a diverse team on business information systems and data analytics projects.
- Identify current ethical dilemmas and professional issues in business information systems with a focus on data analytics.
- Evaluate current ethical dilemmas and professional issues in business information systems.
Knowledge
Graduates at this level will have advanced and integrated understanding of a complex body of knowledge in one or more disciplines or areas of practice.
Skills
Graduates at this level will have expert, specialised cognitive and technical skills in a body of knowledge or practice to independently:
- Analyse critically, reflect on and synthesise complex information, problems, concepts and theories
- Eesearch and apply established theories to a body of knowledge or practice
- Interpret and transmit knowledge, skills and ideas to specialist and non-specialist audiences
Application
Graduates at this level will apply knowledge and skills to demonstrate autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.
Units you will study
Structure
To complete the diploma, you will need to pass 8 Units. This consists of 6 core units and 2 specialisation units.
Level 4000 (AQF 8)
MBIS4001 Information Systems Applications in Business
Unit Description
MBIS4001 Information Systems Applications in Business provides an introduction to the subject of information systems (IS) by presenting the most relevant concepts used to manage the integration of IS into business and society. The purpose of the unit is to facilitate proficient ways to simplify the use of technology in complex IS business environments and, by using case studies together with examples from industry, students will develop both a theoretical and a practical understanding of business information systems in order to achieve this.
More, this unit aims to build students’ awareness of the relationship between the functionality of IS and the requirements of business processes. In this way, students will learn how business organisations use IS to process data into information which can then be used for critical decision- making in the quest for competitive advantage.
MBIS4002 Database Management System
Unit Description
Database management systems are ubiquitous. Almost all organisations adopt them to organise, analyse, extract, transform and load data in order to make effective decisions. This positions MBIS4003 Database Management System as an essential unit as it introduces students to the fundamentals of relational databases. Unit learning outcomes are attained through authentic assessment; that is, the application of relevant concepts, techniques and methodologies related to database management along with practical exercises.
This unit also covers data modelling associated with using entity relationship diagrams and other advanced concepts such as structured query language (SQL) and procedural language (PL). These will be completed in the weekly workshops.
Additionally, data analysis, sharing options and database systems security concepts are covered. Distributed database management systems and data mining are also included in the unit’s topics.
MBIS4003 Software Development
Unit Description
In this unit, MBIS 4003 Software Development, students will learn the fundamentals of software development. Students will investigate a client’s application software problems, evaluate approaches, and then design a solution using a programming language such as Python. The unit takes students through the lifecycle of a software development project including writing specifications, testing and design. Students will gather and analyse customer software needs and requirements, learn core principles of programming, develop software specifications and use appropriate reference tools. Upon successful completion of this unit, students will have the ability to assess, understand and design code.
MBIS4004 Systems Analysis Design
Unit Description
MBIS4004 Systems Analysis Design covers the principles of analysis and design for information systems. Students will learn techniques in data requirements gathering and analysis along with methods to model data needs. Modelling of data will occur at the conceptual, logical, and physical levels along with an ability to compare and contrast different approaches.
Additionally, students will understand the importance and constraints imposed by the domain of the information system, along with business rules that guide the design of business information systems. This unit also addresses the role of functional dependencies and domain normalisation as part of requirements analysis and design using a user-centred design approach. At the end of this unit, students will have a sound understanding of the techniques required to model an information system.
Exit Point: Graduate Certificate of Business Information Systems
MBIS4007 Big Data and Visualisation
Unit Description
MBIS4007 Big Data and Data Visualisation introduces students to the concepts that inform big data analytics and visualisation. It will help students gain insights on how big data drives and supports an organisation’s strategy and how data centricity helps to make better business decisions.
The unit provides in-depth coverage of business motivations and drivers for big data adaptation, enterprise technologies and big data business intelligence. Topics covered will also include algorithms and machine learning techniques for big data and data science.
Furthermore, students will develop an understanding of data visualisation tools and techniques that will help them present information and data using appealing and informative dashboards. In summary, this unit aims to provide students with an ability to discover trends and outliers in the data using big data and visualisation principles, concepts, tools and techniques through hands-on practice.
Pre-requisite: MBIS4002 & MBIS4003
MBIS4008 Business Process Modelling
Unit Description
MBIS4008 Business Process Modelling facilitates students in examining and improving business operations. Informed by conceptual frameworks, students will use business process modelling software tools to make informed recommendations aimed at solving complex business problems as well as attendant improvements to organisational effectiveness and efficiency. This unit provides an opportunity for students to develop the knowledge and skills necessary and sufficient to analyse and design business processes in a variety of business contexts.
Pre-requisite: MBIS4004 (Co-requisite)
MBIS4009 Professional Practice in Information Systems
Unit Description
MBIS4009 Professional Practice in Informatiom Syatems educates students about the ethical, legal and social issues that they are likely to meet as future inforamtion syatem (IS) professionals. Viewed
through the lenses of current IS practice and professional codes of ethics, these issues include data and privacy, confidentaiality, cybercrime and internet fraud. On successful completion of this unit, students will have become aware of the ethical and legal obligations within IS and will have develpoes their negotitation and conflict resolution decisions in preparation for their future role as IS professionals.
MBIS4016 Discovering Data Analytics
Unit Description
MBIS4016 Discovering Data Analytics aims to develop students’ conceptual understanding of data analytics in the context of real-world applications. Students will learn about basic concepts, essential techniques and popular tools used in the IT industry and various aspects of data science. Students will be introduced to the lifecycle of a data science project which involves data collection, management, wrangling, analytics and visualisation. They will gain a conceptual understanding of how to identify and define data science-relevant tasks in practical scenarios and acquire the knowledge as to when to apply techniques and tools to resolve given data science-relevant tasks. Students will discuss issues of privacy, surveillance, security, classification, discrimination and decisional autonomy from a legal, ethical, and policy perspective (whether business or public policy) within areas of relevance, including health, marketing, employment, law enforcement, and education. Furthermore, students will learn to recommend to stakeholders and decision-makers based on data analytics results from the different technologies. Additionally, this unit will assist the students to prepare for the Google Data Analytics Professional Certificate.
Pre-requisite: MBIS4002 Software Development & MBIS4003 Database Management System
Exit Point: Graduate Diploma of Business Information Systems (Data Analytics)
What you will achieve
- Mastery of Data Analytics Theory and Practice
- Precision in Analyzing Data Analytics Issues
- Innovative Solutions to Complex Problems
- Effective Communication with Stakeholders
- Leadership and Team Collaboration
- Ethical Awareness in Data-Driven Decision Making
- Meticulous Ethical Evaluation
Career Opportunities
Potential career paths
- Database Administrator
- Technical Business Analyst
- Network Analyst
Entry Requirements
To view our Entry Requirements, click here.
How to Apply
To view how to apply click here.
We’re absolutely thrilled that you’re interested in discovering more about the exciting educational opportunities here at AIH! Your inquiries are most welcome, and we can’t wait to give you all the information you require. Please don’t hesitate to get in touch with us anytime you like – we’re here to help!
Any Question?
Further Study
Options
Completion of this qualification provides direct entry and advanced standing into:
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