Entry requirements
Entry requirements set by ASQA are the basic qualifications and criteria that students must meet before enrolling in a nationally recognised course.
These requirements ensure students have the skills and knowledge needed to undertake this course.
- There are no formal academic requirements
- Additional entry requirements are set by individual course providers
Course fees
The estimated fee reflects the price range across training providers in Rockhampton.
The course fee is determined by each individual provider and may vary depending on factors like study mode and student support availability.
Career opportunities
The Master of Applied Data Analytics will prepare you for the following roles.
Data Scientist
A Data Scientist looks for trends in data to provide information that guides organisational decisions. You might work for a retail business to prov...
Quantitative Analyst
A Quantitative Analyst applies mathematical and statistical techniques to analyse financial data and support decision-making in financial markets....
Data Analyst
A Data Analyst interprets information and uses it to improve the way a company does business. You’ll use various methods to collect information and...
Find a course provider
Compare all providers for the available in Rockhampton to find the right fit for you.
More about Master of Applied Data Analytics
The Master of Applied Data Analytics in Rockhampton is a valuable credential for those looking to advance their careers in the fast-growing data sector. This course equips students with a robust understanding of data analysis, preparing them for various roles such as Data Engineer, Data Scientist, and Data Analyst. Studying at well-established institutions like The University of Melbourne, which offers this course online, allows local students in Rockhampton, 4700, to gain critical competencies in data analytics conveniently.
The Master of Applied Data Analytics opens up numerous opportunities across various fields, including Information Technology, Science, and Mathematics and Statistics. Students will learn to utilise sophisticated analytical tools and techniques, which are essential for roles such as Machine Learning Engineer and Quantitative Analyst. This aligns perfectly with the growing demand for data expertise in Rockhampton, enhancing job prospects in the region.