Master of Business Analytics and Master of Data Science
Master of Business Analytics and Master of Data Science
Summary The comprehensive, flexible Master of Business Analytics has a strong focus on the real-world application of business analytics tools and techniques. You’ll develop your knowledge of computer programming, databases, applied statistics and machine learning techniques applied to big data. You’ll become adept at recognising the importance of ethical reasoning…
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COURSE DESCRIPTION
Summary
The comprehensive, flexible Master of Business Analytics has a strong focus on the real-world application of business analytics tools and techniques. You’ll develop your knowledge of computer programming, databases, applied statistics and machine learning techniques applied to big data. You’ll become adept at recognising the importance of ethical reasoning in the solution of analytics-related problems. And you’ll learn how to collaborate effectively with diverse teams to achieve a range of purposes in varied contexts. The interdisciplinary Master of Data Science will provide you with the technical skills to work in data science across a variety of industries. It emphasises concepts, insights and skills that will enable you to use current technologies and adapt to and create new technologies. You’ll be able to process and analyse data sets; use mathematical and statistical modelling techniques, machine learning and data mining to solve challenging problems; and communicate your findings to different audiences.
Key features
Study in our state-of-the-art facilities
Access our Finance Decision Lab and incubator, and participate in simulations and workshops. Study a degree accredited by the Australian Computer Society
Complete the Cyber Security, Governance Frameworks and Ethics; and Big Data units to qualify for ACS accreditation. Gain a valuable set of interdisciplinary skills
Develop your capabilities across computer science, maths and statistics, enabling you to apply data science to real-world issues. Expand your knowledge of data science
Choose electives in areas such as data security management and modern computational statistical methods.
Career Outcomes
Professions
Business development manager
Business or venture analyst
Consultant
Consumer analyst
Data analyst
Data visualisation analyst
Entrepreneur
Financial adviser or analyst
Government adviser
Human resources professional
Information technology analyst
Information technology analyst
Management consultant
Market analyst
Market analyst
Public sector adviser
Web producer
Employers
Banks and financial institutions
Business analysis firms
Businesses and corporations
Consulting firms
Defence agencies
Government agencies and departments
Insurance firms
Marketing and public relations firms
Marketing and public relations firms
Research and development companies
Retail and e-business companies
Technology and software development companies
EDUCATIONAL INSTITUTION
Ranked in the top 200 universities in the world, Macquarie University is considered one of Australia’s best universities, producing graduates that are among the most sought-after professionals in the world (ranked #1 in Sydney for graduate employment rate, QS Graduate Employability Rankings, 2022). Uniquely located in the heart of Sydney, Australia’s largest high-tech precinct, Macquarie brings together more than 45,000 students and 3000 staff in one thriving hub of discovery. Our campus spans 126 hectares, with open green space that gives our community the freedom to think and grow. We have recently invested more than one billion dollars in our facilities and infrastructure so our students and staff can thrive on a campus that is dynamic, sustainable, and built for collaboration. Students from over 120 countries are warmly welcomed into the Macquarie community and benefit from special ongoing academic, language and wellbeing support throughout their study. Macquarie has one of the most generous scholarship programs in Australia, providing many opportunities each year for international students to undertake studies here.
