PhD in Survey and Data Science

Careers

The Ph.D. in Survey in Data Science is designed for students seeking a career in research or university teaching requiring knowledge of theories and applications in one or more key disciplines.

It will equip its graduates with the knowledge and skills needed to create methodologies for the collection and analysis of quantitative data suitable for statistical inference to large populations.

Programme Structure

Courses include:

• Advanced Topics in Survey Methodology; Small Area Estimation
• Bayesian Modeling and Inference
• Practical Tools for Study Design and Inference
• Topics in Survey Methodology
• Inference from Complex Surveys
• Computing and Data Display
• Research Design: Casual Inference from Randomized and Observational Data
• Total Survey Error and Data Quality
• Analysis of Complex Sample Data

Admission requirements

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL iBT: 96

Other requirements

General requirements

• Applicants to the Ph.D. program are expected to have a graduate degree in some field (such as statistics or psychology) that is related to survey methodology. Applicants must also demonstrate an appropriate quantitative background.
• Statement of Purpose
• Transcript(s)
• TOEFL/IELTS/PTE (international graduate students)
• Letters of Recommendation (3)
• CV/Resume
• Description of Research/Work Experience (optional)

Fees and funding

Tuition Fees

Tuition fees are shown in AUD and the most likely applicable fee is shown based on your nationality.

• International: 7,033 AUD / year ≈ 5,008 USD / year
• Out-of-State: 7,033 AUD / year ≈ 5,008 USD / year
• Domestic (In-State): 3,287 AUD / year ≈ 2,341 USD / year

Living costs

College Park, United States

2,354–3,985 AUD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.