University of Technology Sydney

Sydney, New South Wales, Australia

MSc in Data Science and Innovation

3X your Admission Chances

Data Science & Big Data

Specialization

2 years (full time)

Duration

$46,000 overall

Tuition Fee

fall, spring

Intake

Table of Contents

Eligibility Requirements Rankings Program Description Program Curriculum Scholarships

Eligibility Requirements for Technology Sydney MSc in Data Science and Innovation

English Requirements

IELTS 6.5 TOEFL IBT 79

General requirements

CRICOS 084268K

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 that demonstrates potential to pursue graduate studies.

All applicants must satisfy the following requirements:

bachelor degree, or higher qualification, in a relevant discipline, such as mathematical sciences, computer science, physics and astronomy, engineering, accounting, banking, finance and related fields, or economics and econometrics.

minimum of three years professional/industry experience.

3/4

Bachelor's GPA Requirement

3 years degree

UG Requirement

Technology Sydney MSc in Data Science and Innovation Rankings

133rd

Technology Sydney MSc in Data Science and Innovation Program Description

Taking a transdisciplinary approach, the Master of Data Science and Innovation at the University of Technology Sydney utilises a range of perspectives from diverse fields and 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 a range of modes, including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities.

Work experience/industry placement is an important component of the course.

This course has been developed as a response to a global talent gap for people with data science knowledge, as identified and reported by the McKinsey Global Institute study (2011). The study predicted a shortfall by 2018 of nearly 200,000 data scientists and 1.5 million managers with the capability to make decisions using big data in the United States alone.

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.

Careers

The course prepares students to participate in a variety of emerging careers with the growth of data science - data griot, data analyst, data artist, data journalist, mobile behaviour analyst, data-driven policy expert, advertising insight and online community manager, to name a few. While other offerings also provide the basis for these careers, this course provides an additional level of expertise, targeting professionals who have the desire to lead teams and organisations at the chief executive level.

Program URL:https://www.uts.edu.au/future-students/find-a-course/master-data-science-and-innovation