Master of Data Science and Innovation

Transform tomorrow with data

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.

Part of the TD School.

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Master of Data Science and Innovation

CODE

UTS: C04372 (version 4)

CRICOS: 084268K

DURATION

2 years full time
4 years part time

INTAKE

Autumn Session 2025
Spring Session 2025
Autumn Session 2026
Spring Session 2026

View important dates

COURSE FEES

Domestic (FT)

LOCATION

City campus

What you'll study

This course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in our leading-edge facilities.

Industry partnerships and engagement are a core part of the course. The curriculum and subjects are co-designed and developed by our academic data experts and industry partners, and regularly reviewed and updated to keep up with the current market needs and latest data science trends.

During the course study, you'll have abundant opportunities working on data sets and projects.

Subjects at a glance

Core subjects

Subject Code	Subject Name
36100	Data Science for Innovation
36103	Statistical Thinking for Data Science
36106	Machine Learning Algorithms and Applications
36104	Data Visualisation and Narratives

See all subjects and majors in the UTS Handbook

Typical course program

Students must complete 48 credit points, comprised of 32 credit points of compulsory subjects and 16 credit points of electives.

Course structure

4

Compulsory units
2

Electives

Year 1

In your first year you’ll study Machine Learning Algorithms and Applications and Statistical Thinking for Data Science. You will also choose 8 credit points from a comprehensive suite of electives, which gives you the flexibility to shape your path and pursue your interests and career aspirations. You can also apply for credit points to work on your projects or complete a relevant internship.
Year 2

In your second year, you’ll study Data Science Practice. You’ll also choose between Applied Natural Language Processing, Big Data Engineering and Deep Learning, as well as an additional elective.

Year 1

In your first year you’ll study Machine Learning Algorithms and Applications and Statistical Thinking for Data Science. You will also choose 8 credit points from a comprehensive suite of electives, which gives you the flexibility to shape your path and pursue your interests and career aspirations. You can also apply for credit points to work on your projects or complete a relevant internship.

Year 2

In your second year, you’ll study Data Science Practice. You’ll also choose between Applied Natural Language Processing, Big Data Engineering and Deep Learning, as well as an additional elective.

See typical course program in the UTS Handbook

Course highlights

Understand how to untangle and interpret data to surface valuable insights. Learn how to develop innovative ideas or create opportunities and become integral to driving positive change in your organisation.

The transdisciplinary nature of our program will see you learning with and from people from a diverse range of industries. In addition to the necessary technical and analytical skills, this course is unique in its focus on valuable soft skills:

Admissions information

This course equips you with the essential knowledge and skills to tackle data science tasks for real-world business problems. You will perform descriptive, predictive, and prescriptive analytics from ethical and human-centered perspectives while exploring innovations in the field of data science. Choose this program for its unique transdisciplinary approach, blending diverse fields with practical industry experience. Stand out with skills in transforming practices through analytics. Gain expertise in data analysis, project management, and strategic implementation, all tailored to current market demands. Learn through a mix of online and in-person sessions at UTS's advanced facilities, enriched by industry partnerships. Engage with real-world data projects, ensuring your learning is relevant and applied. The surge in data across industries fuels a global demand for your future skills.
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.
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.

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:
- Curriculum Vitae AND Statement of service in one of the following formats:
  - A 'Statement of Service' provided by the employer
  - A completed 'UTS statement of service’ signed by the employer
  - A statutory declaration confirming work experience (for Australian Residents only)
  - An official letter from the applicant’s accountant or solicitor on their company letterhead confirming the applicant’s work experience or engagement with the business, duration of operations, and the nature of the business
  - A business certificate of registration in original language and English (e.g. provision of ASIC documentation or ABN or similar documentation for Australian Businesses)
Eligibility for admission does not guarantee offer of a place.
A maximum of 48cp exemptions may be granted for the course with a maximum of 24cp being unspecified subjects. Exemptions are granted only on the basis of prior postgraduate study at an Australian university, or at a recognised overseas institution deemed to be equivalent to an Australian university.

To be eligible for recognition of prior learning, the subject being considered for prior study must have been completed within five years of commencing the course. Recognition of study completed before this period is not considered.

Find more Transdisciplinary Innovation courses

Return to Transdisciplinary Innovation

Entry schemes and pathways

Learn more

Recognition of prior learning (RPL)

At UTS, we understand the dedication it takes to reach your current position – forging a path through prior study, work, and diverse learning experiences.

Jumbunna Admissions Program

If you're Aboriginal or Torres Strait Islander, Jumbunna is an alternative application process for our courses that emphasises diverse pathways to success.

UTS College

Transition smoothly to UTS with UTS College. Explore our programs now.

Changing from another postgraduate course

You can apply for our courses using your previous study. You may even be eligible for recognition of prior learning, so you won’t need to repeat subjects.

Learn more

Careers

Your future career

Seek Australia predicts an 11% increase in data science jobs over the next five years.
The future of employment in data science is filled with opportunities driven by an explosion and ever-increasing reliance on data. And data science is no longer confined to tech companies. As almost all industries race to adopt data-driven processes and decisions, those who can analyse data and lead data-driven transformations will be highly valued.
A career in data science offers security, growth, diversity, and the chance to be on the cutting edge of global innovation.

Career options

“All data has a story to tell. As a data scientist, you become a storyteller.”

Yogitha Mariyappa

Postgraduate student

Where you’ll study

Our world-class facilities support your future-focused learning and high-impact research. They enable effective partnerships with industry and provide services to our community.

See more facilities

Male and female student presenting to five other students in the UTS Data Lounge with large screen behind them. — Equipped with powerful visualisation and interactivity tools, the Data Lounge help you explore, interpret, and deliver insights.

Female student using virtual reality headset in the UTS Data Lounge. — Surround yourself with data using our VR facilities.

Aerial view of the UTS Library reading room, showing desks, study areas and shelves with books. — Find your perfect library study spot and enjoy the quiet away from the campus bustle.

Female and male students in white lab coats working on science demonstration in UTS Super Lab. — Conduct breakthrough research in the Super Lab.

Why UTS?

Why study Transdisciplinary Innovation at UTS

Learn how to solve society’s most complex challenges through creativity, innovation and collaboration.

Our transdisciplinary degrees respond to the future of work and are about building expertise beyond discipline-specific approaches. You'll gain practical, in-demand skills that cross all industries and sectors.