Student Sharing Studying DASC gave me so many new experiences. The unique teaching materials provided a challenging but memorable learning experience throughout my time at HKUST. I learned and upgraded my programming skills through project-based courses by self-initiated research as well as the feedback provided by the professors who taught the courses. BIOMEDICAL AND HEALTH SCIENCES (BMH) Program Overview In this program, students study the scientific principles of different aspects of the biomedical and health sciences. They are exposed to a variety of advanced diagnostic and disease modeling technologies, including the use of omics technologies, computational analytical pipelines and the generation of experimental models for accelerated drug or treatment discoveries in a pre-clinical setting. The early curriculum is broad-based, covering both theoretical and practical aspects of biomedical science. The integration of foundational knowledge is achieved through inquiry-based experiential learning courses that emphasize teamwork as well as individualized research and capstone projects in the final year. BMH graduates are primed for postgraduate training in clinical medicine, genetic counselling, and biomedical research. Through their immersive education on biomedical and health technologies, we also expect our graduates to be sought after by pharmaceutical companies, research institutes, government agencies and healthcare consulting firms. Program Overview In today’s era of big data, a vast amount of information is continuously generated and collected across nearly every domain of science, technology and the social sciences. Data Analytics and Artificial Intelligence in Science is a major program designed for science students seeking to acquire and apply data analysis skills across a range of scientific disciplines. Program Curriculum The curriculum starts with basic training in programming and computational methods, as well as analytic methods and statistics, data visualization, machine learning and artificial intelligence. At the start of Year 3, students then select one of the following study tracks to refine and apply their skills. • Applied Biosciences Track • Environmental Science Track • Information Science Track • Molecular Science and Cheminformatics Track The courses within each track are not designed to produce experts in the respective fields, but to immerse students in the context of data-intensive scientific domains. DATA ANALYTICS AND ARTIFICIAL INTELLIGENCE IN SCIENCE (DASC) 12 13
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