|Develop advanced knowledge and skills to turn data into insights, supporting decision-making in local and global businesses.|
|Qualification Name||Master of Data Science|
|Course Duration||2 Years|
|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.|
This course 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 course, 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.
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 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.
|Semester 1||Semester 2|
|FOUNDATIONS PROGRAMMING||PROFESSIONAL RESEARCH AND COMMUNICATION|
|DATA SCIENCE FOR ALL||ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING|
|STATISTICS AND R||ELECTIVE UNIT|
|ELECTIVE UNIT||ELECTIVE UNIT|
|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|
Fees are subject to change annually. International Fee Paying $28,240.00 AUD annual tuition fee - commencing 2024 International fees are per 120 credit points which represents 1 EFTSL or a standard full-time study load for a year.
International students wishing to apply for RPL and Credit Transfer are required to provide syllabus of previous study undertaken at time of applying for a course. Not all courses offer RPL and Credit Transfer. Contact the International Student courses office at firstname.lastname@example.org
Career opportunities include:
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