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Security cameras, satellite feeds, smartphones, smart homes, vehicles, and workplaces - we're immersed in data daily. Technological advancements have simultaneously democratized data science, offering unprecedented opportunities to understand human-environment interactions. This has sparked soaring demand for qualified data professionals, with projections indicating continued growth.
In response, we developed the Master of Data Science (Digital Humanities) conversion program. Designed for graduates from non-quantitative backgrounds like humanities, it provides essential skills in data acquisition, processing, analysis, and visualization to launch data science careers.
Our MDS program delivers cutting-edge data science education taught by active industry researchers. Core modules shared across our MDS offerings develop statistical and machine learning competencies, while digital humanities specialization modules let students apply computational methods to cultural datasets - including literature, historical records, artifacts, visual arts, and multimedia content.
The curriculum progresses from foundational modules to advanced topics like R-based statistical modeling, Python programming, machine learning, AI, and neural networks. Students can tailor their studies through elective modules.
The program culminates with a capstone research project, where students conduct an intensive investigation applying their acquired skills to a humanities-focused research question of their choosing.