Master's
Master of Data Science – UMi
Course Overview
The Master of Data Science develops advanced expertise in analysing large and complex datasets to support evidence-based decision-making across scientific, commercial, and public sectors. Students study statistics, machine learning, data mining, artificial intelligence, programming, and data visualisation while gaining practical experience with modern analytical tools.
Industry-focused projects strengthen technical, analytical, and communication skills through the interpretation of real-world data. The curriculum also addresses ethical data management and responsible use of artificial intelligence technologies. 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 Data Science, Computer Science, Statistics, or Mathematics with a minimum WAM of 65%+.
- English Proficiency: IELTS 6.5 overall (minimum 6.0 in sub-scores), TOEFL iBT 79, PTE 64.
- Prerequisites / Knowledge: Tertiary study covering multivariable calculus, linear algebra, and computer programming.
- Application Materials: Official university academic transcripts, degree completion certificates, and subject descriptions.
- Waterford Institute of TechnologyStatement of purpose outlining analytical background and professional goals.
Career Outcomes
- Data Scientist
- Machine Learning Engineer
- Data Engineer
- Analytics Consultant
- Business Intelligence Manager
Scholarship Available
- Yes (Melbourne Graduate Scholarships
- Melbourne International Scholarships
- Faculty Scholarships)
