Applied Statistics
The Applied Statistics Master of Studies program at Cornell University provides a rigorous, data driven academic environment for students who want to build strong analytical, statistical, and computational skills to address real world problems. The curriculum integrates probability, statistical modeling, data analysis, computational statistics, and applied research methods, enabling learners to evaluate complex datasets and extract meaningful insights. With a strong emphasis on statistical analysis, students gain the tools to design studies, interpret uncertainty, and apply quantitative techniques within scientific, economic, technological, and social contexts. This structure supports a deep understanding of how statistical reasoning guides evidence based decision making across diverse fields.
Throughout this one year program, students engage with faculty who specialize in applied probability, data science, statistical computing, and experimental design. Through hands on data projects, advanced coursework, and computational exercises, learners develop expertise in data interpretation, modeling techniques, and applied statistical solutions. The academic environment encourages precision, critical thinking, and methodological flexibility, helping students understand how statistical tools adapt to different domains and research needs. This combination of analytical rigor and applied training prepares graduates to work confidently with data driven challenges in both academic and professional settings.
Key information
Key Facts
- Program Title: Applied Statistics
- Degree Type: Master of Studies
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 February 2026
- Location: Cornell University, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Semester 1
• Foundations of Applied Statistics
• Probability and Statistical Modeling
• Statistical Computing and Data Analysis
• Elective in Data Science, Economics, or Biological Statistics
Semester 2
• Advanced Applied Statistical Methods
• Applied Statistics Research Project
• Multivariate Analysis or Machine Learning
• Elective in Forecasting, Survey Methods, or Experimental Design
Career Opportunities
Graduates of this program pursue analytical and research oriented roles across technology, finance, science, consulting, and public sectors, frequently joining data analysis teams, statistical research units, business intelligence groups, and quantitative consulting firms. Their strong preparation in modeling, statistical reasoning, and computational methods enables them to contribute to data interpretation, forecasting, experiment evaluation, risk modeling, and evidence based decision processes. With interdisciplinary quantitative capability, they support organizations in transforming data into actionable insights and improving strategic planning.
Why Choose This Program
This program is an excellent choice for students who want to strengthen their quantitative foundation and apply statistics to practical, data centered questions, offering opportunities to develop advanced analytical insight and strong quantitative capability supported by Cornell’s expertise in statistical science. Through intensive coursework, applied research, and computational practice, learners gain the tools to analyze complex datasets, build effective models, and evaluate results that inform real world decisions. Its focused one year structure provides efficient preparation for impactful roles in applied statistics, data analysis, and quantitative research.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 607 255 2000
Email: admissions@cornell.edu
Address: Cornell University, Ithaca, NY 14850, United States
