Master's
Master of Data Science – USr
Course Overview
The University of Sydney’s Master of Data Science develops advanced expertise in analysing complex datasets to generate meaningful insights for scientific, commercial, and public sector decision-making. Students study machine learning, statistical modelling, artificial intelligence, data engineering, programming, and data visualisation while working with modern analytical technologies.
Industry-focused projects provide practical experience in solving real-world problems using data-driven approaches. The curriculum also explores ethical data governance, responsible artificial intelligence, and effective communication of analytical findings. Graduates are prepared for careers in data science, business analytics, healthcare analytics, finance, government, and technology industries.
Entry Requirements
- Academic Records: Recognized Bachelor degree in a quantitative discipline (Data Science, CS, Math, Statistics, Physics) with a 65%+ WAM.
- English Proficiency: IELTS 6.5 overall (minimum 6.0 in sub-bands), TOEFL iBT 85, PTE 61.
- Prerequisites / Knowledge: Tertiary coursework in multivariable calculus, linear algebra, and programming.
- Application Materials: Certified university transcripts, degree certificates, and detailed syllabus documents.
- Waterford Institute of TechnologyTechnical CV outlining programming languages, database skills, and analytical background.
Career Outcomes
- Data Scientist
- Machine Learning Engineer
- Data Engineer
- Analytics Consultant
- Business Intelligence Manager
Scholarship Available
- Yes (Sydney International Student Award
- Vice-Chancellor’s International Scholarships
- Faculty Scholarships)
