The AIH Master of Business Information Systems (Data Analytics) is designed for professionals to gain advanced technical skills and expertise in areas of data science and analytics. As business professionals or ICT specialists, graduates not only understand how to compile datasets but also how to analyse and interpret data to identify the most relevant information. These insights can be incorporated into the organisational business decision-making process to facilitate decision-makers and managers. Graduates will develop the technical, analytical skills and strategic awareness to use data to influence business change.
Master of Business Information Systems (Data Analytics)
The AIH Master of Business Information Systems (Data Analytics) is designed for professionals to gain advanced technical skills and expertise in areas of data science and analytics.
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Level of Study
Postgraduate
Study Mode
Full-time
Field Of Study
Information Technology
Intake Date
February, May, August, October
Actual Price
45,000
Discounted Price
44,000
Campus Location
New South Wales
Course Description
What you'll learn?
Admissions and Completion of Study
Students wishing to join the postgraduate courses should review the entry criteria and application procedures which are published in the Institute’s Course Guide.
This Master Course (111495D) is awarded after successfully completing 15 units of study. Students wishing to exit with a Graduate Certificate of Business Information Systems (Data Analytics) (105294H) may do so after the successful completion of 4 units. Students wishing to exit with a Graduate Diploma of Business Information Systems (Data Analytics) (111496C) may do so after the successful completion of 8 units.
Study Hours
This course is offered as a face-to-face course at the Sydney or Melbourne campus. As a student, you will need to allocate time to attend classes. Generally, units will be delivered in a standard form in a 4-week block model comprising 2 sessions of 4 hours each per week. Some special units will be delivered in an intensive form in a 4-week block model, comprising 2 sessions of 6 hours each per week for 3 weeks and a 4th week for assessment submission. 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, and projects, and to prepare for workshops or presentations with QA sessions.
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
- Final assessments, presentations, and QA sessions
- Practical assessments
- Discussion forums
- Participation in class, including formative assessment activities
Learning Outcomes
- Integrate advanced concepts and practices of data analytics within the business information systems field.
- Contrast data analytics issues within complex business scenarios, and design and propose solutions to demonstrate mastery of professional practice.
- Evaluate the effectiveness of complex data analytics systems and strategies within specific industry contexts.
- Assess existing data analytics trends in order to apply appropriate tools and techniques to support decision-makers in a professional context.
- Formulate well-researched data analytics and business information systems recommendations for relevant stakeholders.
- Exhibit leadership, management and interpersonal skills required to effectively work in a diverse team on business information systems and data analytics projects.
- Resolve current ethical dilemmas and professional issues in business information systems with a focus on data analytics.
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
- research 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.
Accreditation
Completion of this qualification meets the academic requirement for admission to Doctorate courses within Australia and overseas*
- Data Analyst
- Data Scientist
- Data Architect
- Business Analyst
- Data Analytics Consultant
- Data Mining Analyst
- Data Visualisation Analyst
Core Units
- Level 4000 (AQF 8)
- MBIS4001 Information Systems Applications in Business
- MBIS4002 Database Management System
- MBIS4003 Software Development
- MBIS4004 Systems Analysis Design
- Exit Point: Graduate Certificate of Business Information Systems
- MBIS4007 Big Data and Visualisation
- MBIS4008 Business Process Modelling
- MBIS4009 Professional Practice in Information Systems
- MBIS4016 Discovering Data Analytics
- Exit Point: Graduate Diploma of Business Information Systems (Data Analytics)
- Level 5000 (AQF 9)
- MBIS5009 Business Analytics
- MBIS5001 Applied Data Analytics
- MBIS5002 Data Analyst Professional
- MBIS5003 PM for Designing Data Analytics Solutions
- MBIS5008 Cloud and Big Data for Data Analytics (Elective)
- MBIS5010 Machine Learning for Data Analytics (Elective)
- MBIS5021 Systems Security Professional (Elective)
- MBIS5017 Artificial Intelligence Fundamentals (Elective)
- MBIS5018 Data Mining and Business Intelligence (Elective)
- MBIS5015 Capstone Project (20 CP)
- Exit Point: Master of Business Information Systems (Data Analytics)