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Biomedical Science / Data Analytics, Double Degree Bachelor / Bachelor

Queensland University of Technology (QUT), Australia

 
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Subject ranking

computer science
Australia / USNews
7th
Biological Sciences
Australia / Guardian
9th
Computer Science and Information Systems
Australia / Guardian
10th

Costs

Course feesS$42.6K / year
Entertainment, books
food & rent
S$22K / year
Beer S$10
MacDonalds S$13
Cinema S$17
Coffee S$5
TotalS$64.6K / year

Entry requirements

A Level CCC
Diploma 2.3
International Baccalaureate 30

Scholarships

QUT International Merit Scholarship
25% for tuition
Unlimited quantity
QUT Real World International Scholarship
20% for tuition
Unlimited quantity

Information

Course
Code
103174K
University
Code
00213J
Upcoming
Intakes
Feb 2025
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

4 years
Graduate
2029
About the course

In the first two years of this program you will gain knowledge of a wide range of biomedical disciplines and use these as the foundation for developing more advanced theoretical and practical skills in specialised biomedical science areas. In the third year of the program you will complete the embedded biomedical data analytics minor, preparing you to articulate into the Master of Data Analytics. The master will further your knowledge and skills in advanced biomedical data analytics, providing deep understanding and practical experience in data modelling and interpretation. As a graduate you will have significant project-based experience and skills, enabling you to apply data analytics to solve complex problems in biomedical science and healthcare.

Customise your degree

Undergraduate component (Bachelor of Biomedical Science LV41)

As a graduate of the Bachelor of Biomedical Science you will have a foundational knowledge of a wide range of biomedical discipline areas. This broad knowledge base will be used as the foundation for the development of theoretical and practical knowledge in specialised biomedical science discipline areas. You will have a high degree of course flexibility with the option to select a major or two minor areas of study that align with your interests and complement the embedded biomedical data analytics minor to prepare you for areas of current and emerging priority and employment. The course has a significant focus on practical skills development; you will be in the laboratory from week one and working on real biomedical and scientific problems throughout the course. Our flexible course design means you can shape the biomedical science portion of the course to suit your interests and career aspirations. Choose your major area of study from the list below. Anatomical sciences
Build practical skills in organ identification, dissection, histology and medical image interpretation. Examine real examples from QUT’s extensive skeletal collection, film library, pathology museum, and human donor material. Cell and molecular biotechnology
Study the cellular and molecular mechanisms that drive processes in normal and diseased tissues. Undertake laboratory research projects in cancer biology, tissue engineering, human stem cells and systems biology. Human biochemistry
Study the structure, function, and properties of biomolecules and the molecular machinery that regulates the everyday workings of healthy cells and tissues at a metabolic level. Learn how diagnostic technologies and treatment strategies impact on biochemical processes in the cellular context. Human physiology
Knowledge about how the human body systems work to maintain our health is essential to understanding the basis of disease, diagnostic technologies, and treatments. You can design and undertake a laboratory-based research project in human physiology. Infection and immunity
Develop knowledge and understanding of infectious disease agents (bacteria, viruses, fungi, and parasites) and the role these organisms play in human health and disease, together with cutting-edge strategies of disease diagnosis, treatment, control, and prevention.

Postgraduate component (Master of Data Analytics IN27)

The application of bioinformatics, computer science, and statistical modelling continues to have a major impact in the biomedical sciences. The Master of Data Analytics portion of this vertical double degree will prepare you for a future-focused career in the fast-paced, ever-changing world of data analytics. With a collaborative transdisciplinary curriculum, you will learn the theories and methods required to critically and collaboratively visualise, analyse and interpret real world data to support informed decision-making across a range of applied areas. You will study specialist units in advanced statistical data analysis, data mining techniques and applications, data manipulation, analytics for information professionals and advanced stochastic modelling. You will gain significant project-based experience, requiring you to solve problems of incremental complexity in real-world contexts. This allows you to constructively apply your analytical skills to complex problem domains. As a graduate of the Master of Data Analytics portion of this vertical double degree you will have significant project-based experience and high-order thinking strategies allowing you to apply data analytical skills to solve complex problems in biomedical science and healthcare.

A local representative of Queensland University of Technology (QUT) in Singapore is available online to assist you with enquiries about this course.