The Bachelor of Applied Data Analytics (Honours) requires completion of 48 units, which must consist of:
48 units from completion of one of the following Honours specialisations:
Business Information Systems Honours
Computer Science Honours
Digital Humanities Honours
Population Health Honours
HONS4700 Final Honours Grade will be used to calculate the class of Honours and the mark. It will be calculated using the formula: Σ (mark x units) / Σ units, giving NCN and WN a nominal mark of zero
A Bachelor of Applied Data Analytics from ANU, or equivalent from another institution, completed within the last two years and the satisfaction of any requirements specified in the relevant honours specialisation.
The number of places available in the program may be limited by the Dean due to supervisory capacity.
Computing, Statistics, Sociology
The National Register of higher education providers is an authoritative source of information that will help you confirm your institution of choice is registered to deliver higher education in Australia.
The Quality Indicators for Learning and Teaching (QILT) website is HERE. Based on surveys done by thousands of students across Australia you can find out about universities that interest you, doing side-by-side comparisons.
Adjustment Factors do not apply to 1 year honours programs. They do not apply to this program.
Commonwealth Supported Place (CSP)
For more information see: http://www.anu.edu.au/students/program-administration/costs-fees
- Annual indicative fee for international students
For further information on International Tuition Fees see: https://www.anu.edu.au/students/program-administration/fees-payments/international-tuition-fees
All students are required to pay the Services and amenities fee (SA Fee)
The annual indicative fee provides an estimate of the program tuition fees for international students and domestic students (where applicable). The annual indicative fee for a program is based on the standard full-time enrolment load of 48 units per year (unless the program duration is less than 48 units). Fees for courses vary by discipline meaning that the fees for a program can vary depending on the courses selected. Course fees are reviewed on an annual basis and typically will increase from year to year. The tuition fees payable are dependent on the year of commencement and the courses selected and are subject to increase during the period of study.
For further information on Fees and Payment please see: https://www.anu.edu.au/students/program-administration/fees-payments
ANU offers a wide range of scholarships to students to assist with the cost of their studies.
Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are. Specific scholarship application process information is included in the relevant scholarship listing.
For further information see the Scholarships website.
The Bachelor of Applied Data Analytics (Honours) is a one year full-time (or equivalent part-time) degree available in one of Computing, Statistics, or Social Sciences that exemplifies the ANU commitment to research-led education. Building upon the Bachelor of Applied Data Analytics, the degree will provide you with high level preparation for life as a practitioner or for undertaking a higher degree by research. You will be provided with research methods and principles training, undertake some advanced coursework, and complete a major research project.
ANU ranks among the world's very finest universities. Our nearly 100,000 alumni include political, business, government, and academic leaders around the world.
We have graduated remarkable people from every part of our continent, our region and all walks of life.
Upon successful completion, students will have the skills and knowledge to:
- Demonstrate a sound knowledge and critical understanding of research design and methods
- Apply that knowledge to the development of a research proposal and research plan
- Develop the capacity to perform high-level independent research
- Exhibit in-depth knowledge of their chosen research topic
- Demonstrate a high level of ability to critically analyse and evaluate research questions and communicate the results.