Queensland University Of Technology
This course will prepare you for a future-focused career in the fast-paced, ever-changing world of data analytics. With a collaborative curriculum across disciplines, you’ll not only learn theories and methods, but you’ll apply that knowledge to predict, forecast, visualise and make decisions in a range of applied areas.
You will study specialist units in advanced statistical data analysis, data mining techniques and applications, data manipulation, analytics for information professionals and advanced stochastic modelling.
Brisbane, Australia
24 Months
AU$ 34,100
IELTS: 6.5 TOEFL: 79
Core Modules
Digital Strategy and Analytics
High Performance and Parallel Computing
Machine Learning
Cloud Computing
Data Exploration and Mining
Fundamentals of Business Process Management
Foundations of Decision Science
Systems Analysis and Design
Databases
Introduction to Programming
Object Oriented Programming
Object Oriented Design
Data Structures and Algorithms
Human Information Interaction
Large Scale Data Mining
Biomedical Data Science
Business Process Analytics
Web and Mobile Application Development
AMSI Unit 1
AMSI Unit 2
Advanced Statistical Inference and Modelling
Modern Statistical Computing Techniques
Statistical Data Analysis
Stochastic Modelling
Advanced Statistical Data Analysis
Advanced Stochastic Modelling
Large Scale Data Mining
Biomedical Data Science
Text, Web and Media Analytics
Business Process Analytics
Advanced Statistical Data Analysis
Advanced Stochastic Modelling
You must have a recognised bachelor degree (or higher qualification) in any discipline with a minimum grade point average (GPA) of 4.00 (on QUT's 7 point scale).
Course Fees
A$34100 for the full year
When you graduate, you’ll be able to apply different approaches, techniques and tools to data in different industry contexts to solve complex problems.
You'll have the skills necessary to transform data into knowledge for any industry, including banking and finance, media and communications, health, education, information technology, engineering, agriculture and mining.
Data Analyst
Data Analytics Specialist
Data Systems Developer
Data-Driven Decision Maker