Domestic students can apply via the UTS Online Application System.
The closing date for the Autumn (March) 2020 intake is 31 January 2020.
To learn more about our Master of Data Science & Innovation, please register for our postgraduate information session here
Before you Apply
Ensure you have the following:
- a personal statement in which you explain (approx. 500 words) why you wish to study the course you are applying for, AND
- a CV, including details of paid and/or voluntary work or other experiences (eg. special interest groups) relevant to the course.
If you do not have a bachelor degree or higher qualification in a relevant discipline, you must also provide:
- a detailed explanation in your personal statement of prior learning and demonstrated capability with quantitative data skills, key mathematical concepts and programming experience, AND
- detailed evidence in your CV of prior learning and demonstrated capability with quantitative data skills, key mathematical concepts and programming experience.
Please also review
If you are not an Australian or New Zealand citizen or Australian permanent resident, you will need to apply through UTS International.
Recognition of prior learning
Students who have previously undertaken postgraduate study or completed an undergraduate degree at a university or other recognised tertiary education institutions may be eligible for Recognition of Prior Learning where subjects previously completed are found to be equivalent in regards to learning outcomes, content, volume of learning and assessment approaches.
A maximum of 12 credit points of unspecified exemptions may be considered under the course.
To be eligible for Recognition of Prior Learning, the subject being considered for prior study must have been completed within five years of commencing the course. Recognition of study completed before this period is not considered.
For further MDSI recognition of prior learning details, please visit the Master of Data Science and Innovation handbook.
To apply for recognition of prior learning, please follow the UTS recognition of prior learning.