Foundation Studies - Engineering and Science (FS022SES) (108492M) + Bachelor of Science - Applied Mathematics and Statistics (BP083P20) (0100987)

Foundation Studies - Engineering and Science (FS022SES) (108492M):

Foundation Studies is chosen by international students all over the world as their pathway to higher education at the Royal Melbourne Institute of Technology. Foundation Studies is a fully owned entity of the university. The program provides students with the knowledge, skills and confidence they need for their future academic success.

Located in the heart of the vibrant city of Melbourne, close to cafés, shops, arts and entertainment precincts, the Royal Melbourne Institute of Technology Training’s Foundation Studies specialist staff support students every step of the way. The university provides opportunities to develop their global and social network, setting them up for success at the university and into the future.

To ensure students get the best start to their studies, the Royal Melbourne Institute of Technology has invested in careers counselling, academic and welfare support for international students to access when and where it suits them.

Foundation Studies gives students the opportunity to study the subjects that align with their interests and study goals. They can choose from streams in: • Art, Design and Architecture • Business • Communication and Social Context • Engineering and Science • Health • Information Technology (IT)

Bachelor of Science - Applied Mathematics and Statistics (BP083P20) (0100987):

The Bachelor of Science (Applied Mathematics & Statistics) program will: • enable students to become highly employable in the field of mathematics, statistics and cognate fields; • give students a sound knowledge and skills of both fundamental and advanced mathematical and statistical theory; • expose students to a wide range of mathematical and statistical models, programming environments, approaches and software; • enable students to select and apply appropriate mathematical and statistical methodologies, techniques and software to a wide range of problems; • expose students to related fields of study, such as environmental modelling, finance, marketing, computer science, data analytics, or information security; • provide students with the opportunity to develop the skills and abilities to operate effectively in professional settings that involve mathematical and statistical expertise. These include communication skills, technology literacy, and the ability to work in a team and interact with others.