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
Learn how data analytics is increasingly used to inform and drive business decisions at an operational and strategic level.
Course overview
The Master of Science (Data Analytics) provides students with the skills necessary for a career in data analytics, which involves data management, analysis, visualisation and interpretation as well as data-driven decision making. Students will graduate with technical skills in the specific and highly sought-after area of data analytics.
The MBA (Global) program is available to students with a bachelor's degree in any discipline but with little or no work experience. Students will study a standard broad-based business curriculum since many will have neither a first degree in business or commerce nor work experience in which they have developed these basic competencies. They also seek opportunities to build their practical business skills and experience; hence this program has compulsory work-integrated learning and internship components.
The program provides support to students to reflect on their own strengths and development needs, and to build personal skills in leadership, problem-solving, and communication. The MBA (Global) allows students to build confidence and capability to operate in a wide range of countries.
Key facts
What you will study
To satisfy the requirements for the Master 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
- Organisational Internship
- 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
The University of Newcastle wants to help you fast track your degree and recognising your prior study is just one way they can do that. 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
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
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 capability to work effectively in teams.
- Proficiency in the utilisation of information and technology in business and organisational contexts.
Fees and FEE-HELP
Indicative annual fee in 2025: $31,160 (domestic full-fee paying place)
Indicative annual fees are based on a full-year full-time load (80 units).
A student’s annual fee may vary in accordance with:
- The number of units studied per term.
- The choice of major or specialisation.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
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 course.