
Master of Data Science and Innovation
University of Technology Sydney (UTS)
Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00099F
The Master of Data Science and Innovation is a world-leading program of study in analytics and data science.The dramatic growth of data in every conceivable industry, from oceanography to market research, presents a major driving force in generating unprecedented global demand for data science skills.Taking a transdisciplinary approach, this course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real projects and self-directed study, equipping you with an understanding of the potential of analytics to transform practice.
Subjects
- 36100: Data Science for Innovation: 36103: Statistical Thinking for Data Science: 36106: Machine Learning Algorithms and Applications: 36104: Data Visualisation and Narratives
Standard entry requirements
To be eligible for admission to this course, applicants must meet the following criteria. Applicants must have one of the following: Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in any discipline with a minimum GPA of 4/7 OR Completed Australian bachelor'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) OR Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in a relevant discipline (listed below). Successful applicants who also meet the following criteria may be eligible for 24cp of recognition of prior learning, reducing the course duration from 2 years to 1.5 years: a minimum GPA of 4/7 and a minimum of 2 years full time, or equivalent part-time, professional experience in a relevant professional occupation (listed below) OR a minimum GPA of 4/7 and an academic qualification in a relevant discipline (listed below) OR an academic qualification in a relevant discipline (listed below) and a minimum of 2 years full time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)Applicants who do not meet the criteria above should consider applying for C06124 Graduate Diploma in Data Science and Innovation or C11274 Graduate Certificate in Data Science and Innovation.