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The Master of Data Science will equip you with a comprehensive suite of skills needed to manage, manipulate, analyse and visualise data, across a wide range of sectors including science, business, IT, health care and government. Your studies will include a deep-dive into areas such as artificial intelligent and machine learning, data analytics for cyber threat intelligence, experiment design and visualisation, programming and more.As a graduate, you will meet the AQF level 9 requirements, putting you in high demand. This includes high-level roles in data science, data engineering, business analytics, statistics or data warehouse operation.The course is fully accredited by the Statistical Society of Australia (SSA).This course is also available as a graduate certificate and graduate diploma option for domestic and international students.To review entry requirements and application details relevant to you, please indicate whether you are a domestic or international student by selecting the filter in the top right corner of the screen.
 
Qualification Name Master of Data Science
CRICOS Code 104808F
Course Duration 2 Years
Course fee $56,480.00
Academic Entry Requirements Successful completion of Australian Bachelor degree in science, mathematics, statistics, engineering, information technology or business; or overseas equivalent. Students will be required to demonstrate they have previously studied introductory mathematics and at least one information technology course in their undergraduate degree; or select an approved elective unit in their first semester of study.
English language requirement Overall Academic IELTS band score of 6.0, with no band less than 6.0 or equivalent.
 

Course Outline:

This program provides an opportunity for you to develop an advanced understanding of data science by incorporating and interpreting complex information, concepts and theories to relevant disciplines, using data science tools and methods to manage, process, and analyse data. Throughout the program, you will utilise your skills to handle large volumes of data, working with real-time data, cloud computing, unstructured data and statistical models. As a graduate, you may work in data science related areas such as the health care, finance, government administration and IT industries. This program is also available as a graduate certificate and graduate diploma option for domestic and international students. To review entry requirements and application details relevant to you, please indicate whether you are a domestic or international student by selecting the filter in the top right corner of the screen.
 

Sample structure

Sample structures are just one example of the many options available within your chosen course. Please contact IIBIT for further information on available options. Please note this is a sample structure only and is not to be used for enrolment purposes. To enroll, please Student Administration @IIBIT for your individual course structure.

 

First-Year Curriculum

Semester 1 Semester 2
FOUNDATIONS OF PROGRAMMING (MASTERS) PROFESSIONAL RESEARCH AND COMMUNICATION
DATA SCIENCE FOR ALL ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
STATISTICS AND R ELECTIVE UNIT
 ELECTIVE UNIT ELECTIVE UNIT

Second-Year Curriculum

Semester 1 Semester 2
ADVANCED DATA SCIENCE PROJECT 1 ADVANCED DATA SCIENCE PROJECT 2
EXPERIMENT DESIGN AND VISUALISATION DATA ANALYTICS FOR CYBER THREAT INTELLIGENCE
COMPUTATIONAL METHODS FOR DATA ANALYSIS REGRESSION AND MULTIVARIATE DATA ANALYSIS
   
 
 
 
 

Delivery Locations


Sydney

Gnd Floor, 841 George St,
Sydney, NSW 2000, Australia

Phone: +61 2 9269 0077

Adelaide

L6, 127 Rundle Mall,
Adelaide, SA 5000, Australia

Phone: +61 8 8203 9000