GraduateMathematics

Executive Master of Data Science and Innovation

University of Technology Sydney, Sydney, NSW, Australia

About this program

The Executive Master of Data Science and Innovation at the University of Technology Sydney (UTS) is a one-year degree for working professionals. Students learn to analyse socio-technical systems with data science frameworks, assess contemporary trends, design data investigations and communicate findings, working in a transdisciplinary cohort delivered by the UTS TD School.
The course emphasises collaboration, ethical responsibility and leadership. Graduates move into senior analytics and data strategy roles across sectors. English requirements are IELTS Academic 6.5 overall with 6.0 in writing.

Fees & duration

Duration1 yr
Tuition (international)A$49,500
Application feeA$100

English test scores

IELTS6.5 overall (W6)
PTE58 overall

Verified uts.edu.au ↗

Course structure

Study plan in 6 parts

Structure

  • 48 credit points

Core

  • 36106Machine Learning Algorithms and Applications
  • 36101Leading Data Science Initiatives
  • 36100Data Science for Innovation

EMDSI Electives: Electives

  • 36104Data Visualisation and Narratives
  • 15336Systems Thinking for Managers
  • 94692Data Science Practice
  • 42913Social and Information Network Analysis
  • 26824Innovation Lab
  • 26821Strategic Transformation
  • 26822Sustainable Value Management
  • 36103Statistical Thinking for Data Science
  • 36121Artificial Intelligence Principles and Applications
  • 36120Advanced Machine Learning Application
  • 94693Big Data Engineering
  • 15328Project Innovation and Entrepreneurship
  • 21958Leading Technological Disruption
  • 36118Applied Natural Language Processing
  • and 14 more subjects

Business Innovation: Electives

  • 21958Leading Technological Disruption
  • 26822Sustainable Value Management
  • 26814Strategies and Business Models
  • 26819Strategic Design Studio
  • 26812Navigating Managerial Dilemmas
  • 26809Digital and Social Media Marketing
  • 26824Innovation Lab
  • 26821Strategic Transformation
  • 26804Data Driven Decision Making

Applied Data Science: Electives

  • 94691Deep Learning
  • 94692Data Science Practice
  • 36122Python Programming
  • 36103Statistical Thinking for Data Science
  • 36118Applied Natural Language Processing
  • 94693Big Data Engineering
  • 36120Advanced Machine Learning Application
  • 36104Data Visualisation and Narratives
  • 36121Artificial Intelligence Principles and Applications

Project Management: Electives

  • 15327Lean and Agile Project Management
  • 15328Project Innovation and Entrepreneurship
  • 15315Project Management Principles
  • 15364Leading Projects in Organisations
  • 15336Systems Thinking for Managers

Career & PR pathway

Occupations this degree typically leads to, and their skilled-migration list status

StatisticianANZSCO 224113

Primary outcomeMLTSSL

On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.

Assessed by VETASSESS

Data ScientistANZSCO 224115

CSOL

A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.

Assessed by Australian Computer Society (ACS)

List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.

Admissions

Completed Australian bachelor's degree, or overseas equivalent, in a relevant discipline (listed below) AND a minimum of five (5) years full-time, or equivalent part-time, management work experience AND among all work experience, a minimum of two (2) years in a relevant professional occupation (listed below). OR Completed Australian doctorate, master's degree, graduate diploma, graduate certificate, or honours degree, or overseas equivalent, in a relevant discipline (listed below) AND a minimum of five (5) years full-time, or equivalent part-time, management work experience.

More Mathematics programs

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