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Master of Data Science and Innovation

 

location
City campus

Min. duration
2 years full time or
4 years part time

course codes
UTS: C04293v1
CRICOS: 084268K
UAC: 940680

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

Taking a transdisciplinary approach, the course 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.

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

Taking a transdisciplinary approach, the course 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.

Typical study program

The following example shows a typical full-time program.

First year

Autumn sessionCredit pointsSubject code
36100 Data Science for Innovation836100
36103 Statistical Thinking for Data Science836103
36106 Data, Algorithms and Meaning836106
Spring sessionCredit pointsSubject code
Select 12 credit points from the following:12
CBK91075 Electives (Data Science and Innovation)24cbk91075
36102 iLab 11236102

Course fees

For relevant fee information, are you a Local student or International student

In most cases, UTS offers domestic students entry to postgraduate courses on a fee paying basis.

Tuition fees are charged:

  • based on the particular course in which you are enrolled
  • based on the number of credit points in which you are enrolled
  • at the rates set for the current year and revised annually

Fees for future year(s) published in the online calculator, whilst unlikely to change, are estimates only.  UTS makes every effort to provide up to date future year(s) fee estimates and to limit any changes, however, UTS reserves the right to vary fees for future year(s) at any time.

Tuition fees can be found in the online calculator.

A small number of postgraduate courses offer government subsidised Commonwealth Supported Places (CSP). Find out whether there are CSPs available in this course by visiting our postgraduate fees page.

In addition to tuition fees, students are required to pay a Services and Amenities Fee (SSAF). The purchase of textbooks and other course materials may also result in additional costs.

Tuition fees for international students vary between courses and range from A$19,840 to A$34,080 per year.

Tuition fees for international postgraduate coursework students can be found using fees search.

Tuition fees must be paid in advance each session and are subject to annual increase. Fees for future year(s) published in fees search, whilst unlikely to change, are estimates only. UTS makes every effort to provide up to date future year(s) fee estimates and to limit any changes, however, UTS reserves the right to vary fees for future year(s) at any time.

 

For this course, the cost per credit point for 2016 is $678. The total credit points are 96.

All international students should familiarise themselves with the following documents:

In addition to tuition fees, students may be required to pay a Student Services and Amenities Fee (SSAF). Textbooks and other course materials will also result in additional costs.

For further information on costs related to your study at UTS, visit the international students' fees information page.

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.

Course structure

Course completion requirements

RequirementCredit points
STM90984 Data Science Practices24
STM90985 Leading Data Science Initiatives24
STM90986 Innovation Labs24
CBK91075 Electives (Data Science and Innovation)24
Total96

Course structure explained

Students must complete 96 credit points in total, comprising 48 credit points of core subjects, 24 credit points of laboratories and 24 credit points of electives.

Students who have completed certain components of this course may qualify for a Graduate Certificate in Data Science and Innovation (C11248) or Graduate Diploma in Data Science and Innovation (C06114).

Industrial training/professional practice

The final iLab provides 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.

Additional information

Course duration

This course is offered on a two-year, full-time or four-year, part-time basis.

Full time, mixed

Part time, mixed

Admission requirements

Admission requirements

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.

Previous qualifications should be in one of the following areas: mathematical sciences; computer science; physics and astronomy; engineering; accounting; banking, finance and related fields; economics and econometrics. If academic qualifications are not in these fields, the applicant must provide evidence of prior learning and demonstrated capability with quantitative data skills, key mathematical concepts and programming experience.

A minimum of three years professional/industry experience or a demonstrated equivalent is also required.

The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184.

Eligibility for admission does not guarantee offer of a place.

International students

Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

Check to see if there are additional admission requirements for this course.

If you don't meet the admission requirements for this course, there may be alternative pathways to help you gain admission.

Scholarships, prizes and awards

Scholarships

Prizes and awards

For 010110 students

UTS: Handbook

See the Master of Data Science and Innovation in the UTS: Handbook for comprehensive course details.
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