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.
The estimated fee reflects the price range across training providers in Wodonga.
The course fee is determined by each individual provider and may vary depending on factors like study mode and student support availability.
The Master of Applied Data Analytics will prepare you for the following roles.
A Data Scientist looks for trends in data to provide information that guides organisational decisions. You might work for a retail business to prov...
A Quantitative Analyst applies mathematical and statistical techniques to analyse financial data and support decision-making in financial markets....
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...
Compare all providers for the available in Wodonga to find the right fit for you.
The Master of Applied Data Analytics is an invaluable qualification for those aspiring to excel in the rapidly evolving field of data analysis. In Wodonga, students can pursue this degree through The University of Melbourne, which offers online delivery modes, making it accessible for both local residents and those in surrounding regions. This program delves into various disciplines, including Information Technology, Science, and Data Analytics, equipping students with the versatile skills needed to navigate today's data-driven landscape.
Graduates of the Master of Applied Data Analytics are well-prepared to tackle a range of professional roles, including Data Engineer, Data Scientist, and Data Analyst. These career paths are pivotal in various sectors, from healthcare to finance, particularly in Wodonga where businesses increasingly rely on data insights to inform decisions and drive growth. Furthermore, the program also lays the groundwork for advanced positions such as Quantitative Analyst and Machine Learning Engineer, expanding employment opportunities for graduates in both local and national contexts.
