Education

Education lies at the heart of Advancing Data Science Capability — acquiring, imparting, and sharing knowledge, while also learning from peers and experts in the field.

We are dedicated to fostering excellence in undergraduate and graduate Health Science and Technology education. Our curriculum emphasizes the practical application of theoretical concepts in Data Science, equipping students with essential skills for data-driven and knowledge-driven modeling. Furthermore, we impart fundamentals as well as modern techniques and methods of imaging and computing in medicine because this is key to advances and innovation in medicine. Through hands-on student projects and courses, students learn to utilize industry-standard tools like pandas and scikit-learn to acquire, clean, analyze, and visualize real-world data. Our comprehensive approach includes instruction on data ethics and clinical understanding, ensuring students develop a well-rounded understanding of Data Science principles and their real-world implications.

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