Australian National University (ANU)
1 year full-time
This one-year honours degree builds on applied data analytics foundations with advanced research methods, coursework, and a major research project. Designed for graduates seeking high-level preparation for professional practice or further research study in computing, statistics, or social sciences.
Applicants must hold a Bachelor of Applied Data Analytics from ANU or equivalent from another institution, completed within the last two years, and satisfy any requirements specified in the relevant honours specialisation. Admission is competitive and subject to supervisory capacity and approval from the relevant Delegated Authority within the Academic College. All applicants must meet English language requirements and program-specific academic/non-academic requirements.
The program requires completion of 48 units consisting of one honours specialisation chosen from: Biology Honours, Business Information Systems Honours, Computer Science Honours, Digital Humanities Honours, Mathematics Honours, Population Health Honours, Statistics Honours, or Sociology Honours. Students complete HONS4700 Final Honours and may pursue additional elective majors, minors, or specialisations. The curriculum emphasizes research design and methods, advanced coursework in the chosen discipline, and a major independent research project.
ANU ranks among the world's finest universities with nearly 100,000 alumni in political, business, government, and academic leadership positions globally. The institution is committed to research-led education, providing students with rigorous training in research methods and principles while maintaining high academic standards through competitive admission and supervisory oversight.
Graduates are well-prepared for careers as data analytics practitioners in government, business, and academic sectors, or for pursuing higher degrees by research such as master's and doctoral programs. The honours qualification enhances career prospects in data science, research, analytics, and specialized roles across computing, statistics, and social sciences disciplines.
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