Whether you’re keen to unlock new career opportunities or build in-demand skills, UTS data science courses will help you master the latest thinking and best industry practices in the growing area of data science.
Data Science and Innovation
From microcredentials to masters degrees, our range of flexible learning options in data science and innovation allow you to focus on developing the specific skills you need, when you need them.
Course options
Master of Data Science and Innovation
Course duration: varies from 1 year to 2 years full-time, or 2 years to 4 years part-time. Duration dependent on relevant industry experience and qualifications.
Gain the adaptability, resilience and creative thinking skills to thrive with the Master of Data Science and Innovation (MDSI) the first degree of its kind in Australia where data science, creativity and innovation are integral components.
This comprehensive, transdisciplinary postgraduate data science program will see you develop specialist skills to source, frame, analyse, visualise and communicate business outcomes and generate creative data-driven solutions. Gain essential knowledge in:
- core technical data science skills such as statistics, programming, machine learning and visualisation
- creative thinking skills such as dealing with ambiguity, problem formulation and future possibility states
- effective communication and collaboration skills
- considering ethical concerns and human-centred perspectives in the analysis and use of complex data
With flexibility at its core, the MDSI is designed to provide you with the ability to shape your own data science path, focusing on the areas of interest or most relevant to you – allowing you to pursue your own particular interests and career aspirations.
Applications for Autumn 2025 are open.
Graduate Diploma of Data Science and Innovation
Course duration: 1 year full-time, 2 years part-time
The Graduate Diploma in Data Science and Innovation is a part of nested qualifications for the Master of Data Science and Innovation (C04372). Taking a transdisciplinary approach, this 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 and core data science skills that they can take to and apply in a wide variety of industries.
Applications for Autumn 2025 are open.
Graduate Certificate of Data Science and Innovation
Course duration: 0.5 year full-time, 1 year part-time
The Graduate Certificate in Data Science and Innovation is designed for students to gain data science skills in a fast-paced mode. It has a flexible and comprehensive course structure with a group of fundamental and advanced subjects. This allows people with different backgrounds and learning objectives to take the course either as a fast-track pathway into the data science industry, or to develop specialised skills to further enhance their data science career. You can start this August and graduate in 6 months.
Applications for Autumn 2025 are open.
Microcredentials
Course duration: 6 weeks
Gain practical skills and explore university-level learning in small, flexible pieces with two new microcredentials developed with leading data science industry experts.
Drawing on content from UTS’s ground-breaking Master of Data Science and Innovation program, these dynamic, innovative courses provide hands-on learning and practice are a perfect way to start your data science journey.
Best of all, microcredentials can also count towards further degree courses if you choose to pursue further postgraduate study.
Applied Data Science for InnovationLearn how to solve challenging business problems and drive innovation by mastering the essentials of Machine Learning in six weeks:
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Advanced Data Science for InnovationTake the next step in designing and implementing innovative solutions to challenging real-world business problems using advanced Machine Learning algorithms and data science approaches in this six-week microcredential course:
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Dr Simon Knight, Senior Lecturer: The Master of Data Science and Innovation and the Grad Cert as well, you're actually building up a professional portfolio as you go.
So the idea is that you're doing things that actually match what professionals would be doing and because of the way that we designed it, you'll be working in a range of different subjects to develop different kinds of skills around working with data and communicating that data.
Priyanka Srinivasa, Master of Data Science & Innovation graduate: I started looking out for universities and UTS Master of Data Science and Innovation really attracted me because of the way it’s taught. It’s more industry-based experience. Everything you learn you put into practise from day one.
Joseph Tristram, Master of Data Science & Innovation current student: We get the opportunity to work with a lot of established and well known corporates, governments and a lot of the projects cross over a lot of different industries as well, so it was a great opportunity for me to learn a lot of transferable skills.
Dr Simon Knight: The Master of Data Science and Innovation is a transdisciplinary course. We see data science as a team sport. We actually need to be applying skills from different contexts, different disciplines, different professions in order to understand the problem spaces that we’re applying data science in.
Joseph Tristram: So the benefits of having a good cohort is that we have that diversity of thought. This is important because everyone brings their own experiences, their own challenges and perspectives.
I've made some amazing friendships throughout the course and, you know, the relationships I’ve built with the lecturers themselves, I think that's some of the memories I’m always going to retain.
Dr Shibani Antonette, lecturer: So as we know data science is a rapidly growing field which means there are methods, techniques coming out every single day and we want students to be prepared to learn the most advanced technique there is and keep them updated so which is why the course is constantly reviewed by industry professionals, experts and leading research that happens in the field.
Dr Simon Knight: We’re not just about the technical side of data science, we’re also about the human centred approach. Understanding where our data has come from, how we’re modelling it and how it’s then going to be used in a practical context where it might be informing decisions that have impact on people.
Priyanka Srinivasa: Being a part of something that is going to help create a better future is what interested me. When you’re trying to build something, the thing that makes you irreplaceable is actually the ethics you bring into the data, your perspective and your creativity and innovation. That's my favourite part of the course.
Learn more at uts.edu.au/mdsi
