Bachelor of Biomedical Science / Master of Data Science 48 months Undergraduate Programme By Queensland University of Technology (QUT) |TopUniversities
Subject Ranking

# 301-350QS Subject Rankings

Programme Duration

48 monthsProgramme duration

Tuitionfee

52,200 AUDTuition Fee/year

Main Subject Area

Biological SciencesMain Subject Area

Programme overview

Main Subject

Biological Sciences

Degree

Other

Study Level

Undergraduate

Study Mode

On Campus

  • Position yourself ahead of the curve, graduating with dual bachelor and master qualifications. 
  • Save time and study costs by completing a Bachelor of Biomedical Science and Master of Data Science in just four years. 
  • Gain theoretical and practical skills in various biomedical disciplines, including genomics, cell and molecular biology, infection and immunity, biochemistry, anatomy and physiology.  
  • Study at Australia's leading research institution for data mining and analysis (Australian Research Magazine 2025). 
  • Learn from experts and develop knowledge and skills in advanced biomedical data analytics, including data mining methods, statistical modelling, statistical data analysis, modern biomedical technologies, software system development, and research methodologies.  
  • Be able to participate in comprehensive project-based experience to bring biological meaning to the translation of big data, allowing you to solve complex problems in biomedical science and healthcare. 

Programme overview

Main Subject

Biological Sciences

Degree

Other

Study Level

Undergraduate

Study Mode

On Campus

  • Position yourself ahead of the curve, graduating with dual bachelor and master qualifications. 
  • Save time and study costs by completing a Bachelor of Biomedical Science and Master of Data Science in just four years. 
  • Gain theoretical and practical skills in various biomedical disciplines, including genomics, cell and molecular biology, infection and immunity, biochemistry, anatomy and physiology.  
  • Study at Australia's leading research institution for data mining and analysis (Australian Research Magazine 2025). 
  • Learn from experts and develop knowledge and skills in advanced biomedical data analytics, including data mining methods, statistical modelling, statistical data analysis, modern biomedical technologies, software system development, and research methodologies.  
  • Be able to participate in comprehensive project-based experience to bring biological meaning to the translation of big data, allowing you to solve complex problems in biomedical science and healthcare. 

Admission Requirements

Pre-requisites (Int): Biology (Units 3 & 4, C), Mathematical Methods, or Specialist Mathematics  (Units 3 & 4, C)

4 Years
Feb

Domestic
9,400 AUD
International
52,200 AUD

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

Undergrad Programmes 516