Master's
Master of Data Science – UQ
Course Overview
The University of Queensland’s Master of Data Science prepares students to transform complex datasets into meaningful insights that support strategic decision-making across business, healthcare, research, and government sectors. The curriculum covers machine learning, artificial intelligence, statistical modelling, data engineering, programming, and data visualisation using contemporary analytical tools and technologies.
Practical industry projects strengthen technical expertise, critical thinking, and communication skills while solving real-world challenges. Students also learn 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 Science, Biomedical Science, Medicine, or Genetics with a 65%+ WAM.
- English Proficiency: IELTS 6.5 overall (minimum 6.0 in sub-scores), TOEFL iBT 85, PTE 61.
- Prerequisites / Knowledge: Undergraduate major in genetics, molecular biology, or biochemistry.
- Application Materials: Certified academic transcripts, degree certificate, and passport copy.
- Waterford Institute of TechnologyStatement of purpose outlining interest in clinical genomics and precision medicine.
Career Outcomes
- Data Scientist
- Machine Learning Engineer
- Data Engineer
- Analytics Consultant
- Business Intelligence Manager
Scholarship Available
- Yes (UQ International Scholarships
- UQ Graduate School Scholarships
- Faculty Scholarships)
