Master's
Master of Statistical Data Analysis – ANU
Course Overview
The Master of Statistical Data Analysis equips students with advanced statistical and computational skills to interpret complex datasets and support evidence-based decision-making. The curriculum covers statistical modelling, probability, machine learning, data visualisation, predictive analytics, and computational statistics using industry-relevant software tools.
Students apply analytical techniques to real-world challenges across healthcare, finance, government, business, and scientific research. Practical projects develop expertise in data interpretation, quantitative reasoning, and effective communication of analytical findings. Graduates are well prepared for careers as statisticians, data analysts, quantitative researchers, biostatisticians, and analytics professionals across diverse industries.
Entry Requirements
- Academic Records: Recognized Bachelor degree in any discipline with a minimum GPA of 4.5/7.0 (or ~60%+ average).
- English Proficiency: IELTS 6.5 overall (min 6.0 in sub-scores) or equivalent.
- Prerequisites / Knowledge: University-level introductory mathematics or statistics background.
- Application Materials: Academic transcripts and degree completion certificate.
- Waterford Institute of TechnologyStatement of purpose explaining career transition to data analysis.
Career Outcomes
- Statistician
- Data Scientist
- Biostatistician
- Analytics Consultant
- Quantitative Analyst
Scholarship Available
- Yes (ANU International Scholarships
- Chancellor’s International Scholarship
- College Scholarships)
