Overview
Through the use of data analytics and Business Intelligence (BI) tools, students will gain valuable insights about customers, competitors, internal operations, and external variables that influence organizational strategy, and will enhance their ability to make better strategic decisions.
Learning Outcomes
- Develop effective presentation of business intelligence (BI) and data analysis, research, and recommendations through written forms of communication with specificity and appropriate to the intended audiences (Written Communication).
- Develop effective presentation of business intelligence (BI) and data analysis, research, and recommendations through oral communication of conventions and forms with specificity and appropriate to the intended audience (Oral Communication).
- Critique how a broader understanding of cultural differences, through the lens of business intelligence (BI) and data analysis, results in personal competencies that positively impact business strategies (Diversity).
- Formulate how transformational leadership can improve the implementation of business objectives, regarding business intelligence (BI) and data analysis, no matter the location of the business (Team).
- Evaluate how the relationship between vision and tactics can result in meaningful and successful strategies in a complex business environment through the lens of business intelligence (BI) and data analysis (Critical Thinking and Problem Solving).
- Judge and measure how the internal and external criteria, regarding business intelligence (BI) and data analysis, for an organization may be used to maximize both efficiency and effectiveness of a business operation (Ethics).
- Evaluate the essence of business intelligence (BI) and data analysis in existing literature to produce new, meaningful ideas that have practical application (Research).
- Integrate the innovative principles in business operations, through the lens of business intelligence (BI) and data analysis, that contribute to the advancement of business management and leadership.
- Create strategic opportunities by providing innovative solutions to complex business problems, regarding business intelligence (BI) and data analysis, using quantitative reasoning and methodologies that contribute to organizational sustainability (Quantitative Reasoning).
Programme Structure
Courses include:
- Foundations in Analytics for Executives
- BI, Analytics, & Decision Support
- Time Series & Predictive Analysis for Business
- Artificial Intelligence & Prescriptive Analytics
Admission Requirements
Academic Requirements
GPA: 2.5
English Requirements
- Duolingo English Test: 105
- TOEFL iBT: 79
- PTE Academic: 58
- IELTS: 6
Other Requirements
A master’s degree with:
- A minimum of 2.50 cumulative GPA is required
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Fees and Funding
Tuition Fees
Tuition fees are shown in AUD and the most likely applicable fee is shown based on your nationality.
- International: 14,672 AUD / full ≈ 10,512 USD / full
- Out-of-State: 14,672 AUD / full ≈ 10,512 USD / full
- Domestic (In-State): 14,672 AUD / full ≈ 10,512 USD / full
Additional Details: Online tuition fees per credit: $800
Living Costs
Irvine, United States: 2,177-3,608 AUD / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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