Master of Combined Studies in Business Analytics / Information Technology in Networking
Macquarie University
CRICOS 0101509 · Provider 00002J
at Australian National University · Canberra, Australian Capital Territory
CRICOS course code
094622C
CRICOS provider code
00120C
This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.
Duration
1 year
Tuition (whole course)
A$56,120 total
Per year
A$56,120/yr
Intake
Semester 1 (Feb/Mar), Semester 2 (Jul)
The Bachelor of Applied Data Analytics (Honours) at the Australian National University is an advanced, one-year program designed for students who have already completed an undergraduate degree in a relevant field and wish to further specialise in data analytics. The honours year provides a bridge between undergraduate study and research or professional practice, offering a rigorous blend of theoretical learning and practical application.
This course structure typically consists of advanced coursework units and an independent research thesis or capstone project, with students earning credit points through a combination of these core activities. Guided by expert academic supervisors, students engage in innovative research and analytical problem solving, focusing on real-world issues pertinent to industry, government, or academia. Students refine their abilities in advanced data analysis, research methodologies, and critical thinking, while also gaining experience in presenting and communicating complex findings to diverse audiences.
Throughout this program, students develop strong skills in data management, statistical and computational analysis, and the ethical use of data—all within the context of Australian policy, research, and industry needs. Canberra’s position as a national policy and research hub provides excellent opportunities for collaboration and industry engagement, further supported by the university’s ties to government agencies and leading technology employers.
This course is ideal for high-achieving graduates seeking to launch a research career, gain a competitive advantage in the workforce, or prepare for postgraduate study in data science, information technology, or related fields. International students should confirm English language requirements and additional admission details on the official university website. Students can work up to 48 hours per fortnight during study and may be eligible for the Temporary Graduate visa (subclass 485) upon graduation, subject to relevant conditions.
It typically takes 1 year, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).
Tuition is around A$56,120 total. Fees change yearly — confirm with an advisor.
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