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Security cameras, satellite signals, smartphones, smart homes, vehicles, and workplaces - we're immersed in data daily. Concurrently, technological advancements have democratized data science, offering unprecedented ways to understand human-environment interactions. This has sparked a surge in demand for qualified data professionals, with projections indicating continued growth.
In response, we developed the Master of Data Science (Bioinformatics and Biological Modelling) conversion program. This course empowers students to collect, process, interpret, and present data effectively, creating pathways into data science regardless of undergraduate specialization. It particularly suits graduates from biological, physical sciences, or humanities backgrounds.
Our MDS program delivers cutting-edge data science education through industry-active researchers. Foundational modules common to all MDS programs strengthen statistical and machine learning competencies, while discipline-specific courses enhance quantitative abilities in bioinformatics and biological modeling. The program serves both molecular biology researchers needing quantitative methods and science graduates seeking versatile data analysis skills.
The curriculum progresses from fundamental concepts to sophisticated modern methods including neural networks, bioinformatics, and deep learning. Elective modules enable specialization in preferred domains.
The program concludes with a capstone research project, where students tackle a biosciences challenge by applying their acquired data science expertise to an in-depth investigation of their chosen topic.