New South Wales

Master of Applied Data Analytics in Richmond

Nationally Recognised Higher Education
Study mode Online / On Campus
Duration 24 months
Estimated fee* $38,408
* Fees are indicative only and vary based on your circumstances and eligibility for government funding.

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.

Estimated Fee* $38,408 Fees are based on full-time study.
* Showing course fees for all providers. Some providers may not offer this course in your area.

Career opportunities

The Master of Applied Data Analytics will prepare you for the following roles.

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.

Data Sciences and Mathematics and Statistics continue to evolve, being equipped with the latest analytics skills from reputable providers like The University of Melbourne positions you for success in Richmond and beyond. For more details on the course, please visit this page.