Statistics
The Master of Arts in Statistics is a one year full time program designed for students aiming to gain advanced knowledge in statistical theory, data analysis, and applied quantitative methods. The curriculum integrates probability theory, statistical modeling, data interpretation, and research methods to provide a comprehensive understanding of how to collect, analyze, and interpret complex data sets. Through this program, students develop advanced statistical modeling skills, data analysis expertise, probability theory competencies, and research methodology abilities, preparing them to apply statistical reasoning in academic, professional, and industry settings.
This on campus program provides an immersive and interactive learning environment where lectures, workshops, and applied projects allow students to practice statistical methods in real world scenarios. Students refine regression and multivariate analysis, experimental design, data visualization, and applied research skills through practical assignments, collaborative projects, and case studies. Graduates are prepared to work in government agencies, research institutions, financial organizations, healthcare analytics, and consulting firms, equipping them to design statistical models, analyze complex data, support decision making, and contribute to evidence based research and policy development.
Key information
Key Facts
- Program Title: Statistics
- Degree Type: Master of Arts
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 02 May 2026
- Location: Columbia University, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Statistical Theory and Methods
• Probability and Statistical Theory
• Applied Regression Analysis
• Data Collection and Experimental Design
• Research Methods in Statistics
Semester 2 – Advanced Statistical Applications
• Multivariate Analysis and Modeling
• Statistical Computing and Programming
• Seminar in Applied Statistics
• Applied Research Project or Case Study
Career Opportunities
Graduates of this program are prepared for careers in data analysis, statistical research, finance, healthcare analytics, government research, and academic study. Career paths include statistical analyst, data scientist, biostatistician, quantitative researcher, and policy analyst in statistics. Graduates are equipped to design and implement statistical models, analyze large data sets, interpret findings, and support data driven decision making in diverse professional contexts. The program also prepares learners for leadership and advisory roles in research projects, analytics teams, and policy making institutions, enabling them to apply statistical insights to complex problems, communicate findings effectively, and contribute meaningfully to organizational and academic initiatives.
Why Choose This Program
Students choose this program because it combines advanced statistical theory, practical data analysis, applied research experience, and computational skills within a one year intensive framework. The curriculum emphasizes real world application, analytical thinking, and research driven learning, allowing learners to acquire technical, problem solving, and decision making skills necessary for success in statistics. Graduates gain the knowledge, confidence, and competencies to pursue careers in data analysis, research, finance, healthcare, and policy advisory while contributing meaningfully to evidence based practice, data interpretation, and informed decision making across multiple sectors.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States
