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  • Bachelor
  • 52 months

University Pathways Fast Track (STEM) (FT001STEM) (119545A) + Bachelor of Data Science - Professional (BP348) (110804D)

Royal Melbourne Institute of Technology (RMIT) - Training · Melbourne, Australia

Tuition

A$45,560

Submit by February 1, 2027 · 102 days left · starts February 1, 2027

Ask about this course
Length
52 months
Starts
February 1, 2027
Taught in
English
Cost of living (annual)
A$29,710

Overview

University Pathways Fast Track at RMIT UP is an accelerated pathway designed for high-achieving international students, preparing them for university in half the time of a Foundation Studies course. Delivered over one semester by RMIT UP (CRICOS provider number: 01912G), a fully owned entity of RMIT University, the program equips students with the knowledge, skills and confidence needed for future academic success.

Located in the heart of Melbourne, RMIT UP’s specialist staff support students throughout their journey, while providing opportunities to build global and social networks that contribute to success at RMIT and beyond.

To ensure students get the best start to their studies, RMIT offers careers counselling, as well as academic and welfare support services that can be accessed flexibly.

University Pathways Fast Track features focused, discipline-based streams, allowing students to align their studies with their interests and goals. Available streams include STEM (Science, Technology, Engineering and Mathematics), Art, Design and Architecture, Business, and Communication and Social Context.

Prospective students are encouraged to contact an RMIT international advisor for assistance with their application and to determine the most suitable study option.

Bachelor of Data Science - Professional (BP348) (110804D) RMIT’s Bachelor of Data Science (Professional) is designed to equip students with the theoretical and practical skills required to succeed in the rapidly growing data science industry.

The degree comprises three years of study followed by a one-year industry internship in the final year, organised with the support of the School of Computing Technologies. This industry experience provides students with a valuable opportunity to develop professional and technical skills while building and extending their professional networks.

Throughout the program, students develop a combination of expertise in data analytics, statistics and computer science, preparing them to play a key role in business decision-making, corporate strategy and government planning.

With a wide range of career-focused majors, minors and elective subjects available, students can tailor their studies to align with their interests and career goals. Study areas include machine learning, data wrangling, artificial intelligence, gaming, blockchain and data security.

Entry requirements

We have not collected the requirements for this course yet. Ask us and we will confirm them with the university.

Fees and living costs

Tuition
A$45,560
Cost of living (annual)
A$29,710

Published as Royal Melbourne Institute of Technology (RMIT) - Training publishes it, through ApplyBoard, and not checked by Go Study — ask us and a consultant will confirm any of it with the school.

Intakes

  • February 1, 2027

    Starts February 1, 2027 · apply by February 1, 2027

    Applications opened August 19, 2026

  • July 1, 2027

    Starts July 1, 2027 · apply by July 1, 2027

    Applications opened May 12, 2026

  • February 1, 2028

    Starts February 1, 2028 · apply by February 1, 2028

    not confirmed by the school

  • July 1, 2028

    Starts July 1, 2028 · the school has not published an application deadline

    not confirmed by the school

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