Master of Business Administration (Global) / Master of Science (Data Analytics)
A dual-degree programme combining advanced business strategy with technical data analytics expertise.
Best for:Best for professionals seeking to integrate advanced data science skills with global business leadership capabilities.
Overview
The University of Newcastle offers a combined Master of Business Administration (Global) and Master of Science (Data Analytics) designed to bridge the gap between technical data interpretation and strategic business decision-making. Over the course of two years, students gain proficiency in modeling real-world scenarios, manipulating large datasets, and applying analytical insights across diverse industrial processes. The curriculum emphasizes the impact of globalization on stakeholders and economies, preparing graduates to lead in data-driven environments. Students benefit from strong industry networks and a comprehensive approach to both operational and strategic management.
What you'll do
- Develop advanced skills in data manipulation, analysis, and interpretation.
- Apply analytical techniques to big data sets derived from diverse business processes.
- Model real-world business scenarios to inform operational and strategic decisions.
- Engage with business industry networks to understand global economic influences.
- Analyze the impact of globalization on societies, stakeholders, and economies.
Requirements
Degree required: Undergraduate degree (AQF level 7 equivalent) or higher in a cognate field.
Degree offered: Master of Business Administration (Global) / Master of Science (Data Analytics)
Language: English proficiency as required by the university for international students.
Instruction: English
- Foundational knowledge in data science, statistics, computer science, or mathematics.
- Quantitative proficiency demonstrated through prior academic study.
- Ability to engage with complex business and technical concepts.
- Applicants must hold an undergraduate degree (AQF level 7) or higher.
- Cognate fields include data science, statistics, computer science, engineering, mathematics, information technology, finance, econometrics, or physics.
- Non-cognate degrees with significant quantitative components are assessed on a case-by-case basis.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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How to apply
Interested applicants should visit the official university programme handbook to review specific entry requirements and submission procedures. Applications are processed through the university's official portal.
- Academic transcripts
- Proof of English proficiency
- Degree certificates
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