Program Overview
Data has the potential to transform the way business, government, science and healthcare is carried out. Conventional manual techniques, however, aren’t capable of handling the deluge of data that modern systems generate. Data science, which applies specialised computational and statistical techniques to analyse big data, is considered a key skill of the 21st century, and there’s a skills shortage in this field.
The interdisciplinary Master of Data Science will provide you with the technical skills to work in data science across a variety of industries. It emphasises concepts, insights and skills that will enable you to use current technologies and adapt to and create new technologies. You’ll be able to process and analyse data sets; use mathematical and statistical modelling techniques, machine learning and data mining to solve challenging problems; and communicate your findings to different audiences.
Sydney, Australia
12 Months
AU$ 40,800
IELTS: 6.5
Core Modules
- Big Data Technologies
- Advanced Machine Learning
- Generalized Linear Models
- Multivariate Analysis
- Major Project
All Macquarie University applicants are required to provide evidence of English language proficiency. The standard of English required for entry is based on the IELTS Academic test. Other accepted evidence of English proficiency, including minimum scores on other English tests and qualifications, can be checked using the conversion tool.
The required standard of English for this degree is:
The required standard of English
IELTS band - Minimum score required is 6.5
You may also satisfy the English language requirements by:
- passing an approved English language test at the required level
- holding a qualification from an approved country with English as the language of instruction
- completing an approved high school qualification or foundation program with study in English
- completing an approved English for Academic Purposes (EAP) program.
Estimated annual fee
AUD $40,200
Professions
- Business or venture analyst
- Consultant
- Data analyst
- Entrepreneur
- Financial adviser or analyst
- Government adviser
- Information technology analyst
- Market analyst
- Web producer