Data Science & Information Systems Degrees in Victorian in 2024

Data science combines multiple fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis, to extract value from data. Note: Data Science is often offered as a major in Science or Computer Science degrees.

Information Systems, an integrated set of components for collecting, storing, and processing data and for providing information and digital products. Note: Information Systems is also often offered as a major in Science or Computer Science degrees, as well as some Business degrees.

Visit VTAC for a comprehensive list including all double degrees on offer.

INSTITUTION	COURSE NAME	VCE PREREQs	MAJOR STUDIES IN 2024
Deakin University	Bachelor of Data Science	Units 3 and 4: a study score of at least 25 in English (EAL) or at least 20 in English other than EAL.	Cloud technologies (minor only), Cyber security (minor only), Data science (AI, Data mining, Machine learning, Data management, Discrete mathematics, Programming, Data analytics, Natural language processing), Education (minor only), Embedded systems (minor only), Finance (minor only), Full stack development (minor only), Health analytics (minor only), Human resource management (minor only), Marketing (minor only), Psychology (minor only), Retail management (minor only), Security management (minor only), Sports analytics (minor only), Sustainability and environmental science (minor only), Virtual and augmented reality (minor only).
Federation University	Bachelor of Information Technology (Business Information Systems)	Units 3 and 4: a study score of at least 20 in any English.	Business information systems.
Monash University	Bachelor of Applied Data ScienceNote: the Bachelor of Applied Data Science Advanced (Honours) is also offered	Units 3 and 4: a study score of at least 27 in English (EAL) or at least 25 in English other than EAL; Units 3 and 4: a study score of at least 25 in one of Maths: Mathematical Methods or Maths: Specialist Mathematics.	Anatomy and developmental biology, Applied and statistical mathematics, Astronomy, Biochemical science, Biological science and genetics, Biomedical science, Business analytics, Business information systems, Chemical sciences, Computer Science, Computer systems engineering, Crime and society, Cybersecurity, Data challenges, Data science, Digital media, Discrete mathematics, Drugs and society, Earth and atmospheric sciences, Economics, Geography and the environment, Language and society, Marketing science, Mathematics, Microbiology, Mobile apps development, Modelling with differential equations, Molecular and cell biology, Pharmacology, Physics, Physiology, Social research, Software development, Statistical modelling.
RMIT University *General Maths, Maths Methods, or Specialist Maths	Bachelor of Data ScienceNote: the Bachelor of Data Science (Professional) is also offered	Units 3 and 4: a study score of at least 30 in English (EAL) or at least 25 in English other than EAL; Units 3 and 4: a study score of at least 20 in any Mathematics*	Analytics, Bid Data, Data analysis, Data mining, Data science, Data warehousing, Data wrangling, Database, Ethics, Forecasting, Information retrieval, Legal issues, Machine learning, Privacy, Programming, Statistical computing, Statistics.
Swinburne University	Bachelor of Data Science	Units 3 and 4: a study score of at least 25 in English other than EAL or at least 30 in English (EAL); Units 1 to 4: satisfactory completion in two units (any study combination) of any Mathematics.	Big data architecture and application, Cloud computing architecture, Computer systems, Data visualisation, Networks and switching, Object oriented programming, Software architectures and design, Software deployment and evolution.
Victoria University*General Maths, Maths Methods, or Specialist Maths.	Bachelor of Data Science	Units 3 and 4: a study score of at least 25 in English (EAL) or at least 20 in English other than EAL; Units 3 and 4: a study score of at least 20 in any Mathematics *	Advanced Data Science, Big Data, Data Analytics for Cyber Security, Fundamentals of Data Science, ICT Business Analytics and Data Visualisation, Introduction to Database Systems, Machine Learning and Data Mining, Online Business System Development, Predictive Analysis.