Master of Data Science

Master of Data Science

Master degree
24 months
Application deadlines: No deadline
Processing time: 30 days
Application fee: A$80
Full-time
Intakes: March, July
International tuition: A$35,400
Domestic tuition: A$29,800

Program overview

Big data and cloud computing Work at the forefront of the Big Data and cloud industries by using your scientific data findings to help organisations plan strategically. Big Data and cloud computing are ever-evolving fields, so the demand for specialists is only set to increase. Analytical science Develop a high level of proficiency in data-analysis, modern statistical software, meta-analysis, analysis of repeated measures data and models for bioinformatics. Choose elective subjects such as advanced statistics, health sciences and business and computing technologies. Bioinformatics Learn about the collection, classification, storage and analysis of biological and biochemical information using computers – specifically in relation to molecular genetics and genomics.

Study options

Study options
This program can be done
On campus

Requirements

Exams:

  • IELTS
Academic entry requirement An Australian Bachelor's degree or international equivalent. English language requirement IELTS (Academic) score of 6.5 with no individual band score less than 6.0.

Career opportunities

Data science is a highly-employable field with a global demand. As a graduate, you can expect to find work as a: *Data scientist Identify, vet, gather and analyse data. Use visualisation tools to present your findings clearly. Work individually and in teams to provide support to business operations, marketing and management. Help improve data collection and strategy. *Bioinformatician Develop methods of research and analysis in relation to biological data. Work in teams and individually to find solutions to problems. Cleanse, organise and maintain data sets. Present your findings and information to relevant stakeholders. *Machine-learning engineer Use your detailed understanding of machine learning, big data, cloud technology and mathematics to create efficient and effective machine learning solutions. *Business intelligence analyst Design, script and build business intelligence solutions for business intelligence. Create data models, reports and conduct security analysis. *Statistician Provide statistical support to management and stakeholders. Design, analyse and report on statistical data. Improve data collection and storage.

Campus location

Melbourne , Australia