Course overview
This degree comprises three years of study followed by a one-year industry internship in the final year of study, organized with the assistance of the School of Computing Technologies. Your time spent learning in an industry context provides a unique opportunity to develop your professional and technical skills while creating and extending your professional network. As a student of this RMIT data science degree, you'll build a mix of skills in data analytics, statistics and computer science that will enable you to be central to business decision-making, corporate strategy and government planning.
Course record
CRICOS
00122A
Studies in Australia
Source: Studies in Australia course page. Course page URL: https://www.studiesinaustralia.com/courses-in-australia/rmit-university/courses/bachelor-of-data-science-professional.
Entry requirements
Review the captured standard entry requirements, English requirements and additional notes for this course.
Standard entry
- a study score of at least 25 in English other than EAL
- a study score of at least 27 in English as an Additional Language (EAL) Victorian Certificate of Education (VCE) units 3 and 4: A study score of at least 25 in English other than EAL A study score of at least 27 in English as an Additional Language (EAL)
If the student's current English result is below the direct-entry requirement, consider the university's recognised English language pathway or ELICOS package. When the student successfully completes the approved pathway at the required level, the university may accept that pathway for English entry without requiring a new IELTS, TOEFL or PTE result. Always confirm exclusions for professional registration courses and the offer conditions.
View English requirementPast offer reference
Current-course cases first, supplemented by same-institution scored cases.
Campuses & intake dates
- Melbourne CityVIC
