The Bachelor of Science in Statistical Science (Hons) at Duke University builds strong foundations in probability, statistical inference, and statistical computing. You’ll learn to apply statistical methods to real-world problems and prepare for careers in data science, analytics, finance, healthcare, and research.
The Bachelor of Science in Statistical Science (Hons) at Duke University offers a comprehensive education that equips students with the essential skills in probability, statistical inference, and statistical computing. This program prepares graduates for successful careers in various fields, including data science, analytics, finance, healthcare, and research.
The curriculum for the BSc (Hons) in Statistical Science is structured to guide students from foundational quantitative skills to advanced statistical modeling and data analysis. The program includes a mix of core courses, electives, and opportunities for research or project-based learning.
Core coursework includes:Students may also have the opportunity to pursue concentration-style pathways, such as Mathematical Statistics or Data Science, through elective courses, depending on availability and academic advising.
The program may include a capstone or research component, allowing students to engage in research projects or applied case studies. It is advisable to consult the program handbook and academic advisor for specific graduation requirements.
Admission to the program requires the submission of official transcripts for all academic work completed in high school, standardized test scores (ACT or SAT), a one-page personal essay, and responses to Duke-specific essay questions. Additionally, three letters of recommendation are required: one from a school counselor and two from teachers who have instructed the applicant in major academic subjects.
Graduates of the Bachelor of Science in Statistical Science from Duke University are well-prepared for a range of careers in industries such as data science, analytics, finance, healthcare, and research. The skills acquired through this program enable students to tackle real-world challenges and contribute to data-driven decision-making in various sectors.
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