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M.A. Programs

The Statistics Department offers a flexible on campus M.A. program designed for students preparing for professional positions or for doctoral programs in statistics and other quantitative fields, as well as a renowned Hybrid M.A. program in a partially online format.
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Ph.D. Program

The PhD program prepares students for research careers in probability and statistics in both academia and industry. The first year of the program is devoted to training in theoretical statistics, applied statistics, and probability. In the following years, students take advanced topics courses and seminars.
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Undergraduate Programs

The Statistics major builds on a foundation in probability and statistical theory to provide practical training in statistical methods, study design, and data analysis.
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Recent Faculty Publications

Stabilized Sparse Online Learning for Sparse Data
Yuting Ma, Tian Zheng
Capacity-Achieving Sparse Superposition Codes via Approximate Message Passing Decoding
Cynthia Rush, Adam Greig, Ramji Venkataramanan
Slice Sampling on Hamiltonian Trajectories
John P. Cunningham, Benjamin Bloem-Reddy
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
Fan, J., Feng, Y., Jiang, J. and Tong, X.
Topic-adjusted visibility metric for scientific articles. Ann. Appl. Stat. 10 (2016), no. 1, 1--31.
Linda S. L. Tan, Aik Hui Chan, and Tian Zheng
Boosted Sparse Non-linear Distance Metric Learning
Yuting Ma and Tian Zheng
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DEPARTMENT OF STATISTICS
Columbia University
Room 1005 SSW, MC 4690
1255 Amsterdam Avenue
New York, NY 10027

Phone: 212.851.2132
Fax: 212.851.2164