Master of Data Science
account_balance University of Melbourne · Melbourne, Victoria, Australia
Course Overview
The Master of Data Science at the University of Melbourne provides students with advanced technical capability in computer science, statistics, machine learning, and big data visualization. Designed for students holding a bachelor's degree in IT, mathematics, or related engineering fields, this program combines foundational theory with practical industry project experience.
Core Study Modules (200 Credit Points)
SQL, NoSQL document stores, query optimization, and distributed database indexing.
Supervised learning models, neural networks, random forests, and deep learning algorithms.
Apache Spark, Hadoop clusters, AWS cloud data architecture, and streaming pipelines.
Real-world data consulting project partnered with leading industry sponsors in Australia.
Academic & Language Eligibility
Academic Requirements
- 4-year Bachelor's degree in Computer Science, Data Science, Statistics, or Engineering.
- Minimum Cumulative GPA of 3.0 / 4.0 (or 65% equivalent from recognized Nepal universities).
- Prerequisite mathematics: At least two university-level calculus or linear algebra subjects completed.
English Proficiency Thresholds
Fee Structure & Scholarship Opportunities
Post-Study Work Rights & Career Opportunities
Post-Study Work Visa (Subclass 485)
Graduates of Master by Coursework degrees in Melbourne, Victoria are eligible to apply for up to **3 years of post-study work visa rights** in Australia upon successful program completion.