Statistical Science
The Bachelor of Science in Statistical Science provides students with a solid foundation in probability, data analysis, and statistical modeling, preparing them to tackle complex real-world problems through quantitative reasoning. The program emphasizes data-driven decision making and equips learners with the mathematical, computational, and analytical skills necessary to interpret and manage large datasets effectively. Students gain hands-on experience with statistical software, experimental design, and applied research methods, allowing them to integrate theoretical knowledge with practical application across multiple domains.
Throughout the four-year curriculum, students engage with courses in probability theory, regression analysis, experimental design, and computational statistics, building both theoretical understanding and applied competence. The program also fosters critical thinking, problem-solving, and communication skills, enabling graduates to present data insights clearly and make informed decisions in diverse professional environments. By combining rigorous coursework with practical projects and research opportunities, students develop strong analytical foundations that prepare them for careers in business, science, technology, and government, as well as for further graduate study in statistics or related fields.
Key information
Key Facts
- Program Title: Statistical Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Duke University, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Year 1 – Foundations of Statistical Thinking
• Introduction to Statistical Science
• Calculus and Linear Algebra
• Introduction to Probability
• Data Analysis and Computing
Year 2 – Core Statistical Methods
• Intermediate Probability and Statistical Inference
• Regression and Predictive Modeling
• Statistical Computing and Programming
• Experimental Design and Data Collection
Year 3 – Advanced Analysis & Applied Statistics
• Multivariate Analysis
• Time Series and Forecasting
• Bayesian Statistics
• Electives in Data Science, Economics, or Biology
Year 4 – Capstone Project & Independent Research
• Senior Research Project in Statistics
• Advanced Statistical Modeling
• Data Visualization and Communication
• Specialized Electives in Applied Statistics
Career Opportunities
Graduates of this program are well-prepared for a wide array of careers that require strong quantitative and analytical abilities. Many pursue roles in data analytics, financial analysis, biostatistics, market research, and government agencies, applying statistical techniques to solve practical problems. Graduates also work in technology, healthcare, and scientific research, where they analyze complex datasets and provide actionable insights. The program’s emphasis on applied statistical methods, computational skills, and research experience also creates strong preparation for graduate study in statistics, data science, or related fields, enabling graduates to pursue advanced academic and professional pathways with confidence and expertise.
Why Choose This Program
This program provides students with the opportunity to combine rigorous mathematical training with practical, data-focused applications, developing analytical expertise and problem-solving capabilities essential in today’s data-driven world. Its curriculum balances theoretical understanding with hands-on experience in data analysis, statistical modeling, and computational tools, allowing students to translate complex quantitative problems into actionable solutions. Students benefit from exposure to real-world datasets, collaborative projects, and independent research, fostering both critical thinking and applied skill development. The program equips learners for careers in diverse sectors or advanced study in statistics, data science, or related fields, offering a comprehensive foundation for those seeking to become leaders in quantitative and analytical professions.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 (919) 684-8111
Email: admissions@duke.edu
Address: University of Duke, Durham, North Carolina, United States
