Course Level
Master Degree (By Coursework)
CRICOS
116380H
Master of Data Analytics
The data science sector in Australia is experiencing significant growth, with employment projected to increase by 2.4% annually. As organisations across various industries become increasingly aware of the value of analysing complex data, the demand for data science skills, particularly in data mining, machine learning, and statistical learning techniques, continues to rise. Bond’s Master of Data Analytics equips students with advanced knowledge and techniques that enhance business decision-making and can be applied across a vast range of industry sectors. As a Bond Business School student, you'll have access to exclusive facilities, including the Bond FinTech Hub, where you can gain Bloomberg certification, as well as the Centre for Data Analytics, offering unparalleled opportunities to work with experts in the field. Through the program’s comprehensive curriculum, you will be prepared to meet the growing demand for data-driven expertise and make a substantial impact in your chosen industry.
Campus | Duration | Fees | ATAR |
---|---|---|---|
Gold Coast | Full-time - 16 months | $66,560 | N/A |
Structure
Students must complete the following eighty credit points (80CP) of subjects.
Subjects
- DTSC71-200: Data Science (10CP)
- DTSC71-300: Infrastructure for Data Analytics (10CP)
- DTSC71-301: Deep Learning Through Neural Networks (10CP)
- DTSC71-302: Statistical Learning and Regression Models (10CP)
- DTSC71-304: Applied Data Analytics Project (10CP)
- DTSC71-306: Modern Machine Learning Models (10CP)
- ECON71-200: Linear Models and Applied Econometrics (10CP)
- STAT71-112: Quantitative Methods (10CP)
Entry requirements
- Entry requirement may vary based on country.
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