This course offers comprehensive coverage of the theory and practical tools for data acquisition, storage, management, processing, analysis, and visualization, while emphasizing ethical considerations, communication, collaboration, and critical thinking skills. The curriculum is designed to accommodate diverse mathematical backgrounds, build coding proficiency in data science languages, and prepare students for rewarding careers. Students can specialize through minors in areas such as Optimization and Stochastic Modelling, Computational and Simulation Science, and Information Systems. In the third year, the Data Science Capstone Project involves collaborating with industry partners to address real-world problems using authentic datasets, consolidating knowledge and enhancing readiness for professional entry. Graduates will be equipped with essential tools and critical thinking to lead in the evolving field of data science.The course provides flexible delivery, with all units available in online and on-campus formats. It is digitally enhanced, integrating technology into teaching, learning, and assessment, allowing remote access to resources while requiring some activities at designated locations.
A local representative of Queensland University of Technology (QUT) in Singapore is available online to assist you with enquiries about this course.