The School of Business and Economics (CBE) at the Australian National University (ANU) is founded to promote social progress and change based on a strong knowledge of business and economics. To achieve this goal, CBE is committed to:
- Conduct basic, high-quality research
- Combine curriculum content with research frontiers to solve current problems
- Academics, practice and employability complement each other
- Promote a positive, mutually motivated learning environment and promote multiculturalism
- Develop close and win-win partnerships with industry organizations and alumni
- Building meaningful reconciliation with Indigenous Australians
According to the current direction of social development and business practice, data science has become one of the fastest growing fields. To meet the increasing demand for Data professionals, the Australian National University School of Business and Economics has launched a new Master of Statistical Data Analysis degree program.
The course will focus on developing students’ statistical and analytical skills for quantitative and data analysis-based projects. Students are able to analyze and interpret complex data using appropriate methods in a variety of fields. The skills of the graduates of this major are widely used, and the employment prospects are broad, and the talents with professional knowledge will play a very important role in the business decision-making process.
Teaching mode: In person, 1-year duration
2024.5.15 Application deadline – July 2024 admission
2024.12.15 Application deadline – February 2025
Applicants must present a Bachelor degree or international equivalent in a cognate discipline with a minimum GPA of 5.0/7.0, with at least one course in the field of mathematics that must cover calculus and linear algebra.
Applicants with an ANU Graduate Certificate (with four Statistics/Mathematics courses) with a GPA of 4.0/7.0, with at least one course in the field of mathematics from university studies that must cover calculus and linear algebra.
*Cognitive disciplines: Accounting, Actuarial Studies, Business, Commerce, Data Science, Economics, Finance, Health Sciences, Information Technology, Management, Marketing, Mathematics, Medicine, Public Administration, Science, Statistics.