Victoria

Graduate Diploma in Data Science in Victoria

Nationally Recognised Higher Education
Study mode On Campus / Online / Blended
Duration 12 - 24 months
Estimated fee* $30,192 - $62,000
* 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 Victoria.

The course fee is determined by each individual provider and may vary depending on factors like study mode and student support availability.

Estimated Fee* $30,192 - $62,000 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 Graduate Diploma in Data Science will prepare you for the following roles.

Find a course provider

Compare all providers for the available in Victoria to find the right fit for you.

More about Graduate Diploma in Data Science

The Graduate Diploma in Data Science is an increasingly valuable qualification for those looking to advance their careers in Victoria, Australia. With the rise of data-driven decision-making across sectors, this diploma equips students with essential knowledge and skills that can lead to various lucrative job roles such as Data Scientist, Data Analyst, and Business Analyst. Enrolling in this program at The University of Melbourne allows students to pursue their studies in a supportive campus environment, enhancing the learning experience through face-to-face interactions.

The curriculum for the Graduate Diploma in Data Science offers a multidisciplinary approach that integrates key aspects of various fields, including Business courses, Information Technology courses, and Science courses. For those interested in specific areas, this qualification encompasses vital subjects like Data Analytics, Business Intelligence, and Mathematics and Statistics. This structured learning path is designed to ensure that graduates possess the practical skills needed in high-demand careers.

Machine Learning Engineer and Data Engineer, where they can develop algorithms and systems for data processing and analysis. Additionally, roles like Statistician and Market Analyst offer the opportunity to influence strategic decisions based on data findings, highlighting the importance of data literacy in today’s job market.

AI Architect or Bioinformatics Scientist, contributing to advancements in technology and scientific research.

The University of Melbourne. This qualification not only promises to refine your analytical capabilities but also places you on a trajectory toward in-demand positions. Embrace the opportunity to become a well-rounded professional ready to tackle complex challenges in fields that rely heavily on data, and start your journey today with more information available here.