University of Newcastle
Master of Business Administration (Global) and Master of Science (Data Analytics)
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Combine global business leadership with advanced data analytics, preparing to turn complex data into strategic business decisions in an increasingly data-driven world.
Course overview
The University of Newcastle's Master of Business Administration (Global) / Master of Science (Data Analytics) combines global business leadership with advanced data analytics, preparing graduates to lead organisations in an increasingly data-driven world. Bringing together strategic management and analytical expertise, the program explores how data can be used to inform decision-making, solve complex business challenges and support organisational success across global industries.
Throughout the course, students examine leadership, strategic management, globalisation, organisational behaviour and international business alongside advanced studies in data management, data analysis, modelling, visualisation and interpretation. The curriculum integrates business strategy with analytical capability, equipping graduates to transform complex data into meaningful insights, evaluate organisational performance and make evidence-informed decisions across a broad range of industries.
Delivered on campus, the program provides an immersive learning experience that includes 80 hours of supervised work placement with a host organisation, offering valuable opportunities to apply learning in a professional environment. Graduates complete two master's degrees, combining internationally recognised business leadership with advanced expertise in data analytics for today's global business landscape.
Key facts
What you will study
To satisfy the requirements for the Master of Business Administration (Global) and Master of Science (Data Analytics) program, you must complete 170 units:
- 130 units core courses
- 40 units of courses chosen from the course list
Complete the following core courses to fulfil the requirements of this program.
- International Accounting
- Leading and Managing People
- Twenty-First Century Marketing Management
- Global Financial Management
- Macroeconomics for Managers
- Competitive Dynamics and Global Strategy
- Industry Practice and Career Lab
- Database Management 1
- Data Wrangling and Visualisation
- Predictive Analytics
- Systems Thinking for an Integrated Workforce
- Data Analytics for Business Intelligence
- Data Analytics Project
Entry requirements
Academic requirements
- Applicants must have an undergraduate degree (AQF level 7 equivalent) or higher, in a cognate field of study, including data science/analytics, statistics, computer science, engineering, mathematics, information technology, finance, econometrics or physics.
- Applicants with an undergraduate degree (AQF level 7 equivalent) or higher, in other areas with significant quantitative components, including accounting, business or commerce, will be assessed for entry on a case-by-case basis.
English language requirements
- IELTS Overall Minimum: 6.5
- IELTS Sub Test Minimum: 6
All Applicants must demonstrate that they meet the University's English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy. Contact the university for further information.
Recognition of Prior Learning
If you have previously studied or have relevant work experience, you may be eligible for recognition of prior learning. If your application is successful, you can reduce the number of courses you need to study, saving you time and money. Contact the university for more information.
Outcomes
Learning outcomes
- Specialised knowledge of statistical and/or computational models, concepts and proficiency in their application.
- Specialist knowledge in statistical and/or computational techniques for analysing and interpreting data sets.
- Critical thinking and analytical problem solving to support data management, analysis and data-oriented decisions.
- Specialised knowledge and skills required to use contemporary Big Data technologies to store, manage, process and analyse large structured or unstructured data sets.
- Effective independent and collaborative work skills to apply specialised knowledge and expert judgement to data science.
- Mastered theoretical and practical knowledge of people, organisations and regulation as they operate in national, regional and international environments.
- Competence in applying research principles and methods for the purpose of conducting substantial consulting or organisational projects.
- Cognitive, technical and creative skills to recognise, define, analyse and solve complex organisational and business problems.
- Advanced written and oral communication skills to communicate with a range of stakeholder audiences.
- Critical analysis and decision-making skills to enable an ethical and professional approach to managing people and organisations.
- An awareness of and openness to cultural diversity and a capacity for self-reflection.
- Interpersonal skills to operate in complex organisations and environments, including leadership capability and the ability to work effectively in teams.
- Proficiency in the utilisation of information and technology in business and organisational contexts.
Career outcomes
Possible career paths may include:
- Global Management Consultant
- Multinational Marketing Manager
- International Trade Policy Advisor
- Global Supply Chain Manager
- Data Manager
- Data Analyst
- Business Intelligence Analyst
- Data and Insights Expert
- Global Entrepreneur
- Public Accounting Consultant
Fees and FEE-HELP
Indicative annual fee in 2026: $30,660 (domestic full-fee paying place)
All costs are calculated using current rates and are based on a full-time study load of 80 units (normally eight courses) per year.
A student’s annual fee may vary depending on:
- The number of courses studied per term.
- The choice of major or specialisation.
- Choice of courses.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
You may also need to pay the student services and amenities fee.
Student fees shown are subject to change. Contact the university directly to confirm.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university program.