Master of Data Analytics
Queensland University Of Technology
Program Overview
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
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Digital Strategy and Analytics
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High Performance and Parallel Computing
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Machine Learning
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Cloud Computing
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Data Exploration and Mining
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Fundamentals of Business Process Management
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Foundations of Decision Science
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Systems Analysis and Design
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Databases
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Introduction to Programming
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Object Oriented Programming
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Object Oriented Design
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Data Structures and Algorithms
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Human Information Interaction
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Large Scale Data Mining
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Biomedical Data Science
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Business Process Analytics
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Web and Mobile Application Development
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AMSI Unit 1
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AMSI Unit 2
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Advanced Statistical Inference and Modelling
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Modern Statistical Computing Techniques
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Statistical Data Analysis
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Stochastic Modelling
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Advanced Statistical Data Analysis
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Advanced Stochastic Modelling
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Large Scale Data Mining
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Biomedical Data Science
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Text, Web and Media Analytics
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Business Process Analytics
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Advanced Statistical Data Analysis
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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.
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Data Analyst
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Data Analytics Specialist
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Data Systems Developer
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Data-Driven Decision Maker