Overview
The PhD in Learning Analytics from University of Technology Sydney provides an opportunity for graduates to acquire high-level research skills and substantially deepen their knowledge in this area.
This course has been developed as a response to a global talent gap for people with data science knowledge, as identified and reported by the McKinsey Global Institute study. The study predicted a shortfall by 2018 of nearly 200,000 data scientists and 1.5 million managers with the capability to make decisions using big data in the United States alone.
The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.
Careers
This degree prepares data scientists for leadership positions in teaching, management and research. There are opportunities for developing a career on a national and international level.
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Visit programme websiteProgramme Structure
Course structure- Phase 1: Students negotiate a doctoral study plan with their supervisor. This plan makes explicit the kinds of support each student requires. A formal doctoral assessment is undertaken at the end of Phase 1 in which the candidates present a full proposal for assessment, which is a prerequisite for entering Phase 2.
- Phase 2: Students develop their individual program of research, and their readiness to enter Phase 3 is assessed at the end of Phase 2.
- Phase 3: Candidates engage in the preparation and submission of a major thesis which makes a sustained contribution to knowledge in their field of inquiry.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 48 months
- Part-time
- 96 months
Start dates & application deadlines
- StartingApplication deadline not specified.
If you're applying to the research program only:
- Apply any time throughout the year for the next available intake.
- Submit your application by the advertised scholarship closing dates.
Language
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Delivered
Disciplines
Business Intelligence Data Science & Big Data Data Analytics View 3 other PhDs in Business Intelligence in AustraliaExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Other requirements
General requirements
CRICOS: 088537F
- Applicants must have completed a UTS recognised master's by research or bachelor's degree with first or second class honours (division 1), or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate research studies.
- Selection criteria also include the quality of the research proposal, the centre's ability to offer appropriate supervision in the applicant's chosen field, and, where necessary, demonstration of generic technical skills.
- English proficiency requirement is: Academic IELTS: 7.0 overall with a writing score of 7.0; or TOEFL: paper based: 584-609 overall with TWE of 5.0, internet based: 94-101 overall with a writing score of 27; or AE6: Pass; or PTE: 65-72; or CAE: 185-190.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
39490 AUD/yearTuition FeeBased on the tuition of 19745 AUD per semester during 48 months.
- For this course, the cost per session is $19745.
Living costs for Sydney
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
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Scholarships Information
Below you will find PhD's scholarship opportunities for Learning Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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