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 Sydney.
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 Data Science and Innovation will prepare you for the following roles.
Big Data Engineer
A Big Data Engineer is responsible for designing and implementing robust data processing systems that facilitate the handling and analysis of large...
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...
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning models and algorithms to solve complex problems. You might work in technology...
Data Architect
A Data Architect manages data collection and management for a business or organisation. You’ll design management systems for organising and storing...
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 Sydney to find the right fit for you.
More about Master of Data Science and Innovation
If you are considering advancing your career in the ever-evolving field of data science, the Master of Data Science and Innovation programme in Sydney offers an excellent opportunity to gain relevant skills and knowledge. With reputable training providers such as UTS delivering this course on campus, students can benefit from a structured, interactive learning environment right in the heart of Sydney, 2000 Australia. This face-to-face experience not only enhances understanding but also facilitates networking opportunities that can lead to successful career placements.
The programme is intricately linked to various fields of study, including Information Technology, Science, Programming, and Data Analytics. By pursuing a Masters in this vital discipline, graduates position themselves as strong candidates for a wide array of job roles such as Data Engineer, Data Scientist, and Machine Learning Engineer. The skills acquired throughout the course will enable students to tackle real-world problems effectively across various industries.