Executive Master of Data Science and Innovation

Where innovation meets data science

Data is the lifeblood of decision-making. Those who can harness its power are in high demand.

Yes, you’ll need top-notch skills in programming languages, machine learning and data visualisation. Equally important to your future employers are the critical soft skills you will develop in this program. We’re talking about strategic thinking, effective communication, collaboration, and creative problem-solving.

These are the traits that make data professionals not just analysts but leaders and innovators in their fields.

Stand out with a data science qualification designed to make you indispensable in tomorrow’s workforce.

Part of the TD School.

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Executive Master of Data Science and Innovation

CODE

UTS: C04370 (version 2)

CRICOS: 109317G

DURATION

1 year full time
2 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

Explore how to analyse and interpret complex socio-technical systems using data science frameworks and models with a human-centric lens.

Learn to critically assess contemporary data science trends, deal with ambiguity, and extract valuable insights from data.

In a transdisciplinary environment - working with peers from all walks of life - you will develop problem-solving strategies, design data investigations, and communicate findings to diverse audiences.

Collaboration, ethical responsibility, and leadership are emphasised. Skills that will empower you to solve problems in innovative ways and drive positive change in the field of data science.

Typical course program

Students must complete 48 credit points, comprised of 24 credit points of compulsory subjects and 24 credit points from the suite of streams.

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 is designed for professionals seeking to advance their careers by leading in data science and driving innovation within organisations. It offers not only technical proficiency but also the strategic and leadership skills required to excel at the executive level. Through a unique transdisciplinary approach, the program combines cutting-edge data science with industry-relevant experience, preparing students to lead teams and transform business practices.

Students will gain expertise in advanced data analytics, project management, and strategic implementation, tailored to today’s market demands. The curriculum integrates online and in-person sessions at UTS’s state-of-the-art facilities and features real-world data projects with authentic assessments, ensuring learning is both relevant and immediately applicable.

As data grows exponentially across industries, this course equips students to meet the global demand for executive data professionals who can harness analytics to drive business success.
To be eligible for admission to this course, applicants must have one of the following:
- Completed Australian bachelor's degree, or overseas equivalent, or higher qualification, 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.
OR
- Completed Australian bachelor's degree, or overseas equivalent, or higher qualification AND a minimum of five (5) years full-time, or equivalent part-time, management work experience AND among all work experience, a minimum of three (3) years in a relevant professional occupation (listed below).
Applicants who do not fully meet the work experience requirements may still be considered for an offer. Those applicants may be requested to attend an interview to verify their career seniority and to assess their suitability for the course.

Applicants who do not meet the criteria above should consider applying for C04372 Master of Data Science and Innovation or 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):

135 ICT Managers, 2211, 224 Information and Organisation Professionals, 225 Sales, Marketing and Public Relations Professionals, 233 Engineering Professionals, 234 Natural and Physical Science Professionals, 26 ICT Professionals, 313 ICT and Telecommunications Technicians

Supporting documentation to be submitted with the application
- Curriculum Vitae or electronic portfolio or professional profile AND Statement of service in one of the following formats:
Applicants may also submit an optional personal statement, providing additional information to support their application, such as motivation, demonstrated interest, knowledge, skills, experience, understanding/awareness of the course requirements and expected commitment to complete the course, and a future plan to pursue an executive career/position in data science.

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.

Graduates of this executive-level data science course will be equipped to take on leadership roles in data-driven industries, drive strategic decision-making, and foster innovation through data.

Students will be uniquely positioned to excel in industries ranging from technology to marketing, policy, and beyond, combining technical expertise with creative problem-solving and ethical leadership.

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.