Enhance your analytical and critical thinking abilities, employing innovative solutions, and fine-tuning your programming skills.
Work integrated learning is embedded in this degree, giving you the opportunity to gain hands-on experience and network with industry representatives.
In addition to high level mathematical and statistical theory, you will be exposed to related fields of study, such as environmental modelling, finance, marketing, computer science, data analytics and information security.
You will be taught using industry-relevant software and programming tools. Through a variety of teaching approaches, including lectures, seminars, studios, workshops, presentations, group discussions and syndicate work, you will build practical skills and strong theoretical knowledge.
You will be assessed through examinations, essays, reports, oral classes, presentations, group projects, research projects, laboratory projects and practical assignments.
Learning at RMIT
The types of classes you have will depend on the course you’re studying. Classes are offered in various formats designed to provide meaningful engagement with staff, industry and peers and provide for access and use of spaces where learning can be applied and active, including an array of specialised equipment.
Most RMIT courses do not include passive large-scale classes such as lectures, instead the content traditionally provided in lectures is made available online. This may be in the form of readings, videos or other on-demand learning materials. This content will also support the basis of interactive learning that takes place in on-campus classes.