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Develop advanced knowledge and skills to turn data into insights, supporting decision-making in local and global businesses.
 
Qualification Name Master of Data Science
CRICOS Code 104808F
Course Duration 2 Years
Program fee $53,000.00
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 course 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 agraduate certificate and graduate diploma option for domestic and international students.

 

Online Learning is only available for international students not studying on student visas This degree is also available to international students located outside Australia to commence via online studies whilst travel restrictions are in place. When travel restrictions ease, students should transition to campus to complete their studies.

 

Sample structure

Sample structures are just one example of the many options available within your chosen course. Please contact Federation University for further information on available options.

Please note this is a sample structure only and is not to be used for enrolment purposes. 

 

First-Year Curriculum

Semester 1 Semester 2
FOUNDATIONS PROGRAMMING PROFESSIONAL RESEARCH AND COMMUNICATION
DATA SCIENCE FOR ALL ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
STATISTICS AND R ELECTIVE COURSE
 ELECTIVE COURSE ELECTIVE COURSE

Second-Year Curriculum

Semester 1 Semester 2
ADVANCED DATA SCIENCE PROJECT 1 ADVANCED DATA SCIENCE PROJECT 2
DATA SCIENCE CAE STUDIES BUSINESS INTELLIGENCE & DATA WAREHOUSING
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