Why Study MDSI?
1. Learn by doing
This course is comprehensive, challenging students to gain essential knowledge in:
- core technical data science skills such as statistics, programming, machine learning and visualisation
- the social and ethical aspects of the profession
- and the creative elements of data science such as dealing with ambiguity and problem formulation.
2. Explore real problems with real data from Industry Partners
You will have the opportunity to work with industry partners and explore real-world projects with actual data sets and problems to solve. MDSI graduates are equipped with both communication and problem solving skills as well as interesting and challenging project experiences to share with potential employers.
Professional experience is part of the admission requirement for MDSI, which means during the course you will collaborate and build a community with students who have a wide range of skills and professional backgrounds. Many students have found the opportunity to connect with and understand fields far from their own the most valuable aspect of the program. The MDSI course also provides flexibility to shape your own data science path. The design of the assessments allows students to pursue their own particular interests and career aspirations.
4. Human-centred perspective on data
The course trains students to develop a human-centred perspective on big data; the ability to think ethically and critically about the wider implications of their models and their responsibility to ensure that they are used in an ethical manner.
5. Innovation and Creativity
The MDSI is the only transdisciplinary data science degree offered in Australia where creativity and innovation are integral components. Students develop creative thinking skills to confront contemporary challenges through working on complex, real-world data problems. They are encouraged to explore ideas freely and push the boundaries of their capabilities while considering the human perspectives of the situation. MDSI graduates develop the skills to source, frame, analyse, visualise and communicate business outcomes and generate creative data-driven solutions.