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Overview Join us to make a difference! A highly competitive scholarship to develop new statistical machine learning and data-driven methods to battle social disadvantage in NSW. You will work with
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of this Scholarship. [1] On campus studies include face-to-face and/or online (remote) learning applicable to all degrees except online degrees and distance mode degrees. Selection process Academic merit based
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Holders of a Commonwealth Supported Place (CSP) are not eligible for this scholarship. [1] On campus studies include face-to-face and/or online (remote) learning teaching activities. This does not include
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received Recognition of Prior Learning (RPL) from another institution must complete a minimum of 24 credit points at UTS in their chosen Juris Doctor course. The RPL and 24 credit points completed in
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Commonwealth Supported Place (CSP) are not eligible for this scholarship. [1] On campus studies include face-to-face and/or online (remote) learning teaching activities. This does not include fully online and
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(remote) learning applicable to all degrees except online degrees and distance mode degrees. Selection process The Scholarship will be awarded to the highest ranked applicant on the basis of academic merit
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an Australian and/or foreign sponsoring organisation or university or other UTS international scholarships or grants. [1] On campus studies include face-to-face and/or online (remote) learning applicable to all
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(remote) learning in all degrees except online degrees and distance mode degrees. Selection process Academic merit in the qualification used as the basis of admission for entry into the selected UTS
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(remote) learning in all degrees except online degrees and distance mode degrees. Selection process Academic merit in the most recently completed qualification and recognized by UTS for entry
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on disadvantaged ones. You will work with top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses