Master of Data Science
Deakin University
Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00113B
The sheer volume and complexity of data already at the fingertips of businesses and research organisations gives rise to challenges that must be solved by tomorrow’s graduates. With modern organisations placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions, Deakin’s Master of Data Science equips you for a career in this fast-growing sector.Throughout your studies you will gain the technical skills to harness the power of data through artificial intelligence and machine learning. Use your insights to develop innovative solutions to the important challenges being faced by industry and governments. With a growing demand for data specialists in every sector, you’ll be able to help organisations manage risk, optimise performance and add a competitive advantage through the increasing volumes of data collection.
Structure
The sheer volume and complexity of data already at the fingertips of businesses and research organisations gives rise to challenges that must be solved by tomorrow’s graduates. With modern organisations placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions, Deakin’s Master of Data Science equips you for a career in this fast-growing sector.Throughout your studies you will gain the technical skills to harness the power of data through artificial intelligence and machine learning. Use your insights to develop innovative solutions to the important challenges being faced by industry and governments. With a growing demand for data specialists in every sector, you’ll be able to help organisations manage risk, optimise performance and add a competitive advantage through the increasing volumes of data collection.
Subjects
- Data science
- Database and information retrieval
- Machine learning
- Web Technologies and Development
- Web Technologies and Development
- Bayesian Learning and Graphical Models
- Deep Learning
Standard entry requirements
Entry information1 year full time (2 years part time) – 8 credit pointsAdmission is based on:Bachelor’s degree in a related discipline and two years relevant work experience ORBachelor's degree in a related discipline and Graduate Certificate of Data Analytics or equivalent ORBachelor Honours Degree in a related discipline ORGraduate Certificate of Information Technology and Graduate Certificate of Data Analytics OREvidence of academic capability judged to be equivalent1.5 years full time (3 years part time) – 12 credit pointsAdmissions is based on:Bachelor’s degree in a related discipline ORBachelor’s degree in any discipline and two years relevant work experience ORGraduate Certificate of Information Technology OREvidence of academic capability judged to be equivalent2 years full time (4 years part time) – 16 credit pointsAdmissions is based on:Bachelor’s degree in any discipline OREvidence of academic capability judged to be equivalent
Study pathways
Alternative entry or exits: Graduate Certificate of Data Science, Graduate Certificate of Data Analytics. Exit only option: Graduate Diploma of Data Analytics.
Study information
| Campus | Fees | Entry | Mid year intake | Attendance |
|---|---|---|---|---|
| Cloud(online) | Domestic: $58,800 International: $75,200 | Yes |
| |
| Melbourne Burwood | Domestic: $58,800 International: $75,200 | Yes |
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