The BSc in Health Data Analytics builds the statistical, computational, and data communication skills needed to turn health data into evidence. You’ll study biostatistics, epidemiology, and data science methods, with an emphasis on applying analytics to real-world public health and clinical research problems.
The Bachelor of Science in Health Data Analytics at Drexel University equips students with essential skills in statistical analysis, computation, and data communication necessary for transforming health data into actionable insights. This comprehensive program prepares graduates to tackle real-world challenges in public health and clinical research through the lens of data analytics.
The curriculum emphasizes quantitative methods tailored for health-related data analysis. Students engage in a diverse range of courses, combining statistics, biostatistics, public health, and practical research training, while also having the opportunity to select electives that align with their individual interests.
Learning approach: The program prioritizes analytical problem-solving, data interpretation, and effective scientific communication. Students can further customize their education by choosing from additional courses in epidemiology, health informatics, data visualization, or other related quantitative fields.
Capstone / final project: The program culminates in a hands-on applied experience or research-focused coursework. Prospective students should confirm specific capstone requirements with the university.
Academic requirements: GRE or GMAT scores are not required for admission. There is no specified minimum GPA.
Non-native English speakers must demonstrate proficiency through standardized tests, with the following minimum scores:
Graduates of the Health Data Analytics program are well-prepared for a variety of roles in the healthcare industry, including positions in public health agencies, healthcare organizations, and research institutions. The skills acquired in this program open doors to careers in data analysis, health informatics, epidemiology, and more, contributing to improved health outcomes and informed decision-making in public health and clinical settings.
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