Bachelor of Advanced Computing and Bachelor of Science (Medical Science)

5 Years On Campus Bachelors Program

University of Sydney

Program Overview

The University of Sydney Bachelor of Advanced Computing and Bachelor of Science (Medical Science) is a highly interdisciplinary double degree that combines cutting-edge computing skills with in-depth knowledge of human biology and medical science. It is designed for students who want to work at the intersection of technology and healthcare, developing solutions in areas such as medical data science, bioinformatics, and health technology innovation.

Curriculum Structure

Year One

In the first year, students build foundational knowledge across both computing and medical science through core units such as Programming Fundamentals, Data Structures, Cell Biology, and Human Biology. This year develops essential coding skills alongside an understanding of biological systems, preparing students for interdisciplinary problem-solving. Students also gain introductory exposure to mathematical and scientific principles used in both fields.

Year Two

In the second year, students progress into more specialised study through units such as Algorithms and Data Science, Database Systems, Human Physiology, and Biochemistry. This stage focuses on combining computational thinking with biomedical understanding, allowing students to analyse biological data and model medical systems. Practical laboratory and computing work becomes more advanced and applied.

Year Three

In the third year, students deepen their expertise through units such as Software Development, Machine Learning, Genomics and Bioinformatics, and Medical Microbiology. This year emphasises the application of computing techniques to solve complex biomedical problems, including disease modelling, genetic analysis, and healthcare data systems. Students also begin working on interdisciplinary research-style projects.

Year Four

In the fourth year, students undertake advanced studies such as Artificial Intelligence in Healthcare, Computational Biology, Medical Imaging Systems, and Advanced Medical Science Topics. This year focuses on high-level integration of computing and biomedical science, with strong emphasis on research, innovation, and real-world application in healthcare technologies.

Year Five

In the final year, students complete a major capstone project and advanced electives such as Health Informatics Systems, Advanced Bioinformatics, and Computing for Medical Innovation. The capstone project allows students to design and implement a complex solution that integrates computing and medical science to address real-world healthcare challenges.

Focus Areas

Computational biology, medical science, bioinformatics, artificial intelligence in healthcare, data science, human biology, genomics, software engineering, health informatics, biomedical innovation.

Learning Outcomes

Graduates develop advanced skills in programming, data analysis, biomedical science, problem-solving, and computational modelling of biological systems. Students also gain the ability to design healthcare technologies, analyse complex biological data, and apply computing solutions to medical and scientific challenges.

Professional Alignment (Accreditation)

The program aligns with industry demand in health technology, biomedical data science, and advanced computing sectors. It prepares graduates for interdisciplinary roles combining computing, data science, and medical research applications.

Reputation (Employability Rankings)

The University of Sydney is consistently ranked among the world’s leading universities, recognised globally for excellence in medicine, science, and technology education. It is highly regarded for strong research output and graduate employability across STEM and healthcare-related fields.

Experiential Learning (Research, Projects, Internships etc.)

Students in the University of Sydney Bachelor of Advanced Computing and Bachelor of Science (Medical Science) gain extensive hands-on experience by combining laboratory-based medical science training with advanced computing practice, including software development, data analysis, and computational modelling. The program is designed around real-world problem solving, allowing students to work on health-related data, biomedical systems, and digital technologies used in modern healthcare and research environments. Through practical labs, industry-linked projects, and research-focused coursework, students develop strong technical skills in both coding and medical science applications:

Sydney Informatics Hub (University of Sydney) supports training in data science, bioinformatics, and computational research tools used in medical and scientific analysis.
Biomedical Science Teaching Laboratories provide hands-on training in human biology, physiology, microbiology, and biochemistry experiments.
Advanced Computing Laboratories support software development, programming, algorithms, and systems design using industry-standard computing environments.
Bioinformatics and Genomics Tools are used for analysing biological and medical datasets, including genetic sequencing and disease modelling.
Machine Learning and AI in Healthcare Projects allow students to apply artificial intelligence techniques to medical and health data.
Group-Based Interdisciplinary Projects bring together computing and medical science students to solve real-world healthcare and technology challenges.
Capstone Project (Industry or Research-Focused) enables students to design and deliver a major integrated solution combining computing and medical science expertise.
Research-Led Learning Environment connects students with active research in biomedical science, health informatics, and computer science innovation.
University of Sydney Library and Digital Research Platforms provide access to global scientific journals, computing resources, and biomedical databases.
Industry Engagement Opportunities include exposure to healthcare technology, biotech firms, and digital health innovation partners.
Clinical and Health Data Analysis Training develops skills in working with real-world medical datasets and healthcare systems.
Interdisciplinary Learning Environment supports collaboration between science, medicine, and computing disciplines across the university.

Progression & Future Opportunities

Graduates of the University of Sydney Bachelor of Advanced Computing and Bachelor of Science (Medical Science) are uniquely positioned for high-impact careers at the intersection of healthcare, data science, and technology innovation. They are well prepared to work in roles that use computing to solve medical and biological problems, particularly in areas like bioinformatics, health informatics, and biomedical data science. Graduates may pursue careers as Bioinformatics Specialist, Health Data Scientist, Software Engineer (HealthTech), or Computational Biologist:

University of Sydney Careers Centre provides personalised career counselling, internship matching support, employer networking events, and graduate employment preparation tailored to STEM and health graduates.
Industry Engagement through Sydney Research and Innovation Networks connects students with healthcare, biotech, and digital health organisations for applied learning and employment pathways.
Strong Work-Integrated Learning Opportunities develop practical experience through research projects, coding applications, and biomedical data analysis tasks.
High Demand for Digital Health and Data Science Professionals supports strong employment prospects across healthcare systems, research institutes, and technology companies.
Interdisciplinary Skill Development enhances employability by combining advanced computing, programming, and biomedical science expertise.
Research Excellence at the University of Sydney provides exposure to cutting-edge developments in health informatics, genomics, and computational medicine.
Graduate Outcomes reflect the University of Sydney’s strong global reputation for producing highly employable graduates in science, technology, and healthcare fields.
Long-Term Qualification Value lies in the combination of computing and medical science, enabling flexible career pathways across multiple high-growth industries.

Further Academic Progression:

After completing this degree, students may continue into Honours in Computing or Medical Science, Master of Data Science, Master of Health Data Science, Master of Bioinformatics, or related postgraduate degrees. Graduates may also pursue PhD research pathways in computational biology, medical informatics, artificial intelligence in healthcare, or biomedical research, depending on their interests.