Master of Data Science

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.

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.

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.

Recognition Of Prior Learning

• International students wishing to apply for credit exemption are required to indicate on the application form that you they wish to be considered for credit exemption and provide a syllabus of their previous studies with their application for the course. Applications will then be assessed for eligibility for credit exemption into the FedUni course. Not all courses offer credit exemption.

Pathways/Alternative Entry

• This is an applied postgraduate program and does not directly lead to further coursework study. However, by virtue of the 60 credit point project and research methods course, students may complete a research thesis and use this as a pathway to a higher degree by research.

Professional Recognition

• This course holds Professional Level accreditation with the Australian Computer Society (ACS) and the Statistical Society of Australia (SSA).

Career Opportunities
Career opportunities include:

• Data scientist
• Data engineer
• Business analyst
• Statistician
• Data warehouse operator