Prerequisites
Degree equivalent to an Australian bachelor degree in Mathematics or Statistics or Computing or related discipline, with significant studies in mathematics, statistics and computing and a GPA of at least 5.0 on a 7 point scale. Applicants must have completed a minimum of 3 mathematics courses, 2 statistics or probability courses and 3 computer science courses.
Related disciplines include Information Technology, Computer Science, Statistics, Mathematics, Engineering, Physics, Actuarial Studies.
IELTS overall 6.5; reading 6; writing 6; speaking 6; listening 6. For other English Language Proficiency Tests and Scores approved for UQ
TOEFL IBT - Overall 87, listening 19, reading 19, writing 21 and speaking 19.
TOEFL PB - Overall 570, listening 54, reading 54, writing 59/5.
Pearsons - Overall Score of 64 and 60 in all sub bands.
BE - A minimum overall grade of 4 plus a minimum grade of C in all macro skills.
CES - Overall 176 and 169 in all sub bands.
OET is not accepted.
Become job-ready and prepared to tackle complex data science challenges and play a leading role in the future development of data science solutions globally.
This is the most comprehensive data science program in Australia, combining high-level analytical and technical skills with industry-specific knowledge and essential professional attributes. It's also one of the few programs in the world to offer you a cross-disciplinary education with direct industry contact and practical experience in the exciting field of data science.
You'll study advanced topics from computing, statistics and mathematics, and your choice of electives from business, finance, health or science. Across the program, you'll learn how to make informed decisions in data-intensive environments.
You'll use relevant big data tools and technologies and develop essential knowledge about the ethical use of data, legal considerations, communication and more. In your final year, you'll also complete projects relevant to industry.
Since data underpins the digital economy, there are enormous opportunities for data scientists to revolutionise the way we work, live and communicate. With a Master of Data Science you'll be expertly prepared to work in Australia or overseas across a large number of industry sectors, government agencies and high technology companies, as well as consulting and market research firms.
CRICOS CODE: 092453J
More info: Click here
MDataSc Core Courses
Complete 12 units for ALL of the following:
Introduction to Data Science
Responsible Data Science
Data Analytics at Scale
Statistical Methods for Data Science
Machine Learning for Data Scientists
Machine Learning
Data Science Capstone Project 1
MDataSc Capstone Courses
Complete 2 to 4 units from the following:
Data Science Capstone Project 2
Data Science Capstone Project 2B
MDataSc Foundation Courses
Complete 0 to 4 units from the following:
Introduction to Software Engineering
Advanced Database Systems
Database Principles
Mathematics for Data Science 1
Mathematics for Data Science 2
Probability Models & Data Analysis
MDataSc Discipline Elective Courses
Complete 4 to 8 units from the following:
Data Mining
Advanced Techniques for High Dimensional Data
Information Retrieval and Web Search
Social Media Analytics
Numerical Linear Algebra & Optimisation
Further Topics in Operations Research
Operations Research & Mathematical Planning
Statistical Learning
MDataSc Breadth Elective Courses
Complete 0 to 4 units from the following:
Accounting
Bioinformatics 1: Introduction
Introduction to Proteins & Nucleic Acids
Bioinformatics 2: Development & Research
Advanced Genome Informatics
Artificial Intelligence
Pattern Recognition and Analysis
Digital Health Software Project
Advanced Algorithms & Data Structures
Algorithms & Data Structures
Numerical Methods in Computational Science
High-Performance Computing
Design Thinking
Elements of Econometrics
Applied Econometrics for Macroeconomics and Finance
Financial Econometrics
Finance
Portfolio Management
Financial Mathematics
Computation in Financial Mathematics
Financial Calculus
Fundamentals of Marketing
Consumer & Buyer Behaviour
Market & Consumer Research
Introduction to Epidemiology
Deep Learning
Mathematical Statistics
Probability Models & Stochastic Processes
Statistical Analysis of Genetic Data
Advanced Probability & Stochastic Processes I
Advanced Probability & Stochastic Processes II
Longitudinal & Correlated Data
Postgraduate study can take you anywhere. Here are some of the careers you could be on your way to:
Market researcher
Data scientist
Risk analyst
Supply chain analyst
Business intelligence analyst
Data miner
Big data engineer
Portfolio manager
Actuarial and analytics consultant
Systems software engineer
OSHC 530 ($) AUD per year
