Master's
Master of Data Science – UA
Course Overview
The University of Adelaide’s Master of Data Science prepares students to transform large and complex datasets into meaningful insights that support decision-making across business, healthcare, research, and government sectors. Students study machine learning, artificial intelligence, statistical modelling, programming, data engineering, and data visualisation using advanced analytical tools and technologies.
Industry-focused projects develop technical expertise, critical thinking, and communication skills while solving practical challenges. The curriculum also explores responsible data governance and ethical applications of artificial intelligence. Graduates are equipped for careers in data science, business analytics, financial technology, healthcare analytics, research, and digital innovation.
Entry Requirements
- Academic Records: Recognized Bachelor degree in Data Science, CS, Math, or Statistics with a minimum GPA of 4.5/7.0 (~60%+ average).
- English Proficiency: IELTS 6.5 overall (minimum 6.0 in sub-scores), TOEFL iBT 79, PTE 58.
- Prerequisites / Knowledge: University-level coursework in multivariable calculus, linear algebra, and programming.
- Application Materials: Certified university transcripts, degree certificates, and detailed module syllabus.
- Waterford Institute of TechnologyTechnical CV outlining programming skills and analytical project portfolio.
Career Outcomes
- Data Scientist
- Machine Learning Engineer
- Data Engineer
- Analytics Consultant
- Business Intelligence Manager
Scholarship Available
- Yes (Adelaide Global Academic Excellence Scholarship
- Adelaide Global Citizens Scholarship
- Faculty Scholarships)
