To be eligible for admission to this course, applicants must meet the following criteria.Applicants must have one of the following: <ul> <li>Completed Australian bachelor&#39;s degree or higher qualification, or overseas equivalent, in any discipline with a minimum GPA of 4/7</li> </ul> OR <ul> <li>Completed Australian bachelor&#39;s degree or higher qualification, or overseas equivalent, in any discipline AND A minimum of 2 years full-time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)</li> </ul> OR <ul> <li>Completed Australian bachelor&#39;s degree or higher qualification, or overseas equivalent, in a relevant discipline (listed below)</li> </ul> Relevant disciplines: 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 Relevant professional occupations (ANZCO classification): 2241 Mathematical Science Professionals, 2243 Economists, 2244 Intelligence and Policy Analysts, 225112 Market Research Analyst, 225115 Digital Marketing Analyst, 26 ICT Professionals Supporting documentation to be submitted with the application For applicants who need to demonstrate work experience: <ul> <li>Curriculum Vitae AND Statement of service in one of the following formats: <ul> <li>A &#39;Statement of Service&#39; provided by the employer</li> <li>A completed &#39;<a href="https://www.uts.edu.au/statement-service-form">UTS statement of service</a>&rsquo; signed by the employer</li> <li>A <a href="https://www.service.nsw.gov.au/transaction/nsw-statutory-declaration-forms">statutory </a><a href="https://my.gov.au/en/about/help/digital-identity/digital-commonwealth-statutory-declaration">declaration </a>confirming work experience (for Australian Residents only)</li> <li>An official letter from the applicant&rsquo;s accountant or solicitor on their company letterhead confirming the applicant&rsquo;s work experience or engagement with the business, duration of operations, and the nature of the business</li> <li>A business certificate of registration in original language and English (e.g. provision of ASIC documentation or ABN or similar documentation for Australian Businesses)</li> </ul> </li> </ul>Eligibility for admission does not guarantee offer of a place.

Graduate Diploma in Data Science and Innovation

Graduate Diploma in Data Science and Innovation (GradDipDataScInn)

(CBK92374) Select 16 credit points from any UTS subjects.

Electives

(STM91479) Select 32 credit points from the following subjects:

Options MDSI

Structure

The Graduate Diploma in Data Science and Innovation is part of the acclaimed Master of Data Science and Innovation, blending diverse perspectives with industry real-world practices. This transdisciplinary course prepares graduates to harness analytics for transformative practices, delivered through modern online and in-person sessions at UTS&#39;s advanced facilities. It responds to the soaring demand for data science skills across all sectors.

Critically apply data science techniques to explore, manipulate,and visualise complex data, addressing uncertainty, ambiguity and stakeholder needs.

Critically reflect on the rights to consent, privacy, data sovereignty and self determination to work ethically with and for Indigenous Australians across data professions.

Develop and evaluate problem-solving strategies to extract value from data, while clearly articulating the implications of analytics outcomes for various stakeholders.

Engage in ethical and reflective practice, promoting positive change in data science contexts, with an awareness of social,organisational and community issues, including indigenous perspectives.

Analyse and organise human and technical elements within complex systems, critically evaluating models and assumptions for predicting system behaviours and guiding data exploration.

Collaborate effectively in data science teams, crafting meaningful narratives that engage diverse audiences with data-driven insights and implications for action.

Handbook

C06124 - Graduate Diploma in Data Science and Innovation

48 Credit points