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 Richmond.
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 Richmond to find the right fit for you.
More about Master of Applied Data Analytics
If you're considering advancing your career through the Master of Applied Data Analytics, Richmond is an excellent place to start your educational journey. With options such as The University of Melbourne, which offers this prestigious course via online delivery, students in Richmond can benefit from high-quality education that prepares them for the demands of the evolving data industry. By completing this course, you can equip yourself for in-demand roles such as a Data Engineer, Data Scientist, or Data Analyst.
The Master of Applied Data Analytics encompasses various fields of study including Information Technology, Science, and Data Analytics. By exploring these areas, students gain vital skills that not only enhance their understanding of data but also make them ideal candidates for specialised positions such as a Quantitative Analyst or a Machine Learning Engineer. Richmond’s educational landscape supports this dynamic training, paving the way for practical, hands-on experience and networking opportunities within the industry.