The Master of Data Science and Innovation at UTS is a world-leading program of study in analytics and data science.

It integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. 

The course is delivered in various modes, including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities.

Industry partnerships and engagement are a core part of the course. 

The course curriculum and subjects are co-designed and developed by UTS academic data experts and industry partners. 

Students can work on real-world data sets/projects during the course study.

The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.

Industrial training/professional practice

The iLabs and internship projects provide the opportunity for students to design investigations utilising contemporary data discovery techniques and large, complex, multi-structure data sets. 

The study can focus on the student's current work environment, or industry placements can be negotiated in a discipline of interest.

• Academic Transcripts
• English Language Proficiency
• English language translations of documents in a language other than English
• If you are applying for recognition of prior learning, a completed application form and subject outlines.
• Details of exclusion (or possible exclusions) from a course on academic or other grounds
• Details of relevant work experience
• Supporting Statement or portfolio if required
• Details of disability or ongoing medical condition will require you to seek special assistance from the University.
• Passport or Visa Documents
• A C.V. outlining work experience and education ( if required)
• An official Statement of Service ( if required)

Applicants must have completed a UTS-recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications demonstrating potential to pursue graduate studies.

In addition, applicants must also meet one of the following criteria:

1. The academic qualification used to support the application for admission must have been completed with a GPA of at least 4.0 on a 7.00 GPA scale

OR

2. The applicant must have a minimum of two-year full-time, or equivalent part-time, work experience in one of the following ANZSCO listed occupations.

• 2241 Actuaries, Mathematicians and Statisticians
• 2243 Economists
• 2244 Intelligence and Policy Analysts
• 225112 Market Research Analyst
• 225115 Digital Marketing Analyst
• 26 ICT Professionals

To support their application, these applicants must provide:

• a C.V. outlining work experience and education, as well as other relevant evidence and information, and
• an official Statement of Service from the employer confirming the dates of employment and a description of the position held within the organisation.

Applicants with an appropriate degree who do not fully meet these criteria may still be eligible for an offer.

Successful applicants who meet both of the criteria above OR who meet either of the criteria above and have an academic qualification within one of the following fields are eligible for recognition of 24 credit points of prior learning, reducing the course duration from 2 years to 1.5 years.

• Natural and Physical Sciences
• Information Technology
• Engineering and related technologies
• Accounting
• Business and Management
• Sales and Marketing
• Banking, Finance and related fields
• Economics and Econometrics

Graduate Certificate in Technology Practice

The UTS College Graduate Certificate in Technology Practice will give you the confidence, knowledge and skills you need to take your professional qualifications to the next level. 

You'll receive 24 credit points on successful completion as Recognition of Prior Learning towards a Master of Data Science and Innovation.