Statistics
The Statistics Bachelor of Science program at Pennsylvania University is a four-year, full-time undergraduate program designed to provide students with a comprehensive understanding of statistical theory, data analysis, and quantitative reasoning. The curriculum integrates probability, mathematical statistics, data modeling, computational methods, and research methodology, enabling students to analyze complex datasets, interpret quantitative information, and apply statistical techniques across diverse fields. Students engage in applied research, laboratory projects, and collaborative studies, cultivating analytical, computational, and problem-solving skills essential for professional or academic careers in statistics, data science, finance, or research analysis.
Throughout the program, students participate in seminars, workshops, and experiential learning guided by faculty experts in statistical theory, data analysis, and applied mathematics. The program emphasizes interdisciplinary research, applied quantitative methods, and critical reasoning, preparing graduates to evaluate datasets, design experiments, and contribute to research, business, or policy initiatives. Students leave the program with analytical skills, research competence, computational proficiency, and critical reasoning, fully prepared for careers or advanced study in statistics, data science, actuarial science, or applied research.
Key information
Key Facts
- Program Title: Statistics
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: University of Pennsylvania, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Statistics
- Introduction to Probability and Statistical Concepts
- Calculus and Linear Algebra for Statistical Analysis
- Research Methods and Critical Thinking
- Introduction to Data Analysis and Computing
Year 2 – Intermediate Study in Statistical Methods
- Mathematical Statistics and Inference
- Regression Analysis and Data Modeling
- Applied Research Projects in Statistics
- Electives: Time Series Analysis, Survey Methods, or Experimental Design
Year 3 – Advanced Analysis and Applied Research
- Multivariate Analysis and Statistical Computing
- Applied Projects in Data Science and Analytics
- Advanced Probability and Stochastic Processes
- Electives: Machine Learning, Biostatistics, or Bayesian Methods
Year 4 – Capstone and Professional Integration
- Senior Thesis or Independent Research Project
- Seminar in Contemporary Statistical Applications
- Professional Portfolio Development
- Internship or Applied Project in Research, Data Analytics, or Financial Institutions
Career Opportunities
Graduates of the Statistics program are prepared for careers in data analysis, actuarial science, financial modeling, public policy, research, and data-driven decision-making. Alumni may work as statisticians, data analysts, actuarial consultants, research scientists, or pursue graduate studies in statistics, data science, mathematics, or analytics. The program equips graduates to analyze complex datasets, interpret statistical results, and apply quantitative methods to solve real-world problems. With strong analytical, computational, and research skills, graduates are highly competitive in professional and academic environments focused on data analysis, statistical modeling, and applied research.
Why Choose This Program
This program is distinguished by its integration of statistical theory, applied data analysis, computational methods, and interdisciplinary study within a four-year curriculum. Students benefit from mentorship, hands-on projects, and immersive research experiences that connect theoretical knowledge with practical applications in statistics, data science, and analytics. The curriculum emphasizes critical thinking, analytical reasoning, and problem-solving, preparing graduates to interpret complex data, develop quantitative solutions, and contribute meaningfully to professional and academic initiatives. For students passionate about statistics, data analysis, and quantitative research, this program offers a rigorous, immersive, and career-focused pathway to professional and academic success.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 215 898 5000
Email: admissions@upenn.edu
Address: University of Pennsylvania, Philadelphia, PA 19104, United States
