核心课程
- GR5204: Inference (3 points)
GR5203 and GR5204 are usually taken sequentially in the first semester as intensive half-semester courses.
- GR5205: Linear Regression Models (3 points) – Usually taken in the first semester along with probability
and inference.
CAPSTONE COURSE
All students must take at least one of the following two courses to graduate. If both are taken, one will be counted as the capstone and the other as a statistics elective.
- GR5291 Advanced Data Analysis (3 points): Taken in the second or last semester of the program.
- GR5242 Advanced Machine Learning (3 points) – GR5241 is the prerequisite for GR5242; GR5206 is the prerequisite for GR5241.
选修课程
GR5207Elementary Stochastic Processes
GR5221Time Series Analysis
GR5222Nonparametric Statistics
GR5223Multivariate Stat Inference
GR5224Bayesian Statistics
GR5231Survival Analysis
GR5232Generalized Linear Models
GR5233Regression and Multi-Level Models
GR5234Sample Surveys
GR5241Statistical Machine Learning
GR5242Advanced Machine Learning
GR5243Applied Data Science
GR5245Introduction to TensorFlow with Python
GR5261Statistical Methods in Finance
GR5262Stochastic Processes for Finance
GR5263Stat Inf/Time-Series Modeling
GR5264Stochastic Processes Applications I
GR5265Stochastic Methods in Finance
GR5399Statistical Fieldwork
GR5293Topics in Modern Statistics
统计学与计算机科学，工业工程与运筹学，哥伦比亚商学院，数据科学研究所，数学金融等院系均有选修课
Survival Analysis (PUBH P6103/4, STAT GR5203, GR5204 and GR5205)
Design of Medical Experiments (PUBH P6103/4, STAT GR5203, 5204 and 5205)
Generalized Linear Models (PUBH P6103/4, STAT GR5203, GR5204, and GR5205)
Theoretical Genetic Modeling (PUBH P6103/4)
The randomized clinical trial I (PUBH P6103/4)
The randomized clinical trial II (PUBH P6103/4, P8140)
Advanced Engineering and Corporate Economics
Game-Theoretical Models of Operations
Quality Control and Management
Introduction to Financial Engineering
Networks: Formation, Contagion, and Epidemics
Introduction to Modern Analysis I
Introduction to Modern Analysis II
Probability Theory
Introduction to the Theory of Mathematical Finance
Numerical Methods in Finance
Quantitative Methods in Investment Management
Capital Markets & Invest
Hedge Funds Strategies & Risk
Financial Risk Management & Regulation
Fixed Income Portfolio Mgmt
Math Mthds-Fin Price Analysis
Multi-Asset Portfolio Mgmt
Non-Linear Option Pricing
Analysis & Probability I
Algebraic Topology
Algebraic Topology II
Introduction to Numerical Methods
Game Theory
Economic Growth & Development
Earnings Quality & Fundamental Analysis
Capital Markets & Investments
Advanced Corporate Finance
Debt Markets
Investment Banking Tax Factors
Asset Management
Mergers & Acquisitions
Capital Markets Regulation
Real Estate Capital Markets
Financial Crises and Regulatory Responses
Emerging Financial Markets
Project Finance
Security Analysis
Equity Derivatives
Private Equity: the asset class, its investments & its markets
Institutional Investing: Alternative Assets in Pension Plans
Investor Influence on Corporate Sustainability
Competitive Advantage in Investing
Global Economic Environment II
Actuarial Methods I(By permission only by Faculty Adviser; must have demonstrated interest in AS)
Actuarial Methods II (By permission only)
Actuarial Models
Models for Financial Economics(formerly known as Stochastic Processes for Actuaries) (By Permission Only)
Quantitative Risk Management
Data Science & Public Policy
Introduction to Data Science in Industry
Translational Bioinformatics
Introduction to Databases
Computer Systems for Data Science (Spring course only)
Natural Language Processing
Causal Inference 1
Causal Inference for Data Science
Cloud Computing & Big Data
Analysis of Algorithms I
Algorithms for Data Science
Computer Networks
Neural Networks & Deep Learning
Neural Networks and Deep Learning (Research)
Bayesian Mod Machine Learning
Big Data Analytics
Adv. Big Data Analytics
Deep Learning for Computer Vision and Natural Language Processing
