# Statistics

## Field Description

The Field of Statistics offers two graduate degree programs: an MS/PhD degree in Statistics and a Masters of Professional Studies degree in Applied Statistics. The field does not offer a Masters degree in Statistics.

The PhD program is intended to prepare students for a career in research and teaching at the University level or in equivalent positions in industry or government. A PhD degree requires writing and defending a dissertation. Students graduate this program with a broad set of skills, from the ability to interact collaboratively with researchers in applied fields, through the formulation and computational implementation of novel statistical models and methods to demonstrating mathematically that these methods have desirable statistical properties. Cornell's PhD alumni have gone on to high profile positions in all of academia, industry and government.

The Master of Professional Studies (M.P.S.) degree in Applied Statistics is for persons interested in professional careers in business, industry or government. The M.P.S. program has three main components:

- A two-semester core course covering a wide range of statistical applications, computing, and consulting
- An in-depth statistical analysis project
- Elective coursework drawn from the resources of the Department of Statistical Science.

The program can be completed in one year by a well-prepared student with the equivalent of an undergraduate degree in statistics or applied mathematics. Students with less preparation can make up any missing prerequisites while at Cornell; in this case the program will take one to two years to complete.

M.P.S. or M.S./Ph.D.?

Statistics does not offer admission for those interested a terminal master's degree, but we do offer admission for those interested in pursuing a master's leading to a Ph.D. We also offer the M.P.S. in Applied Statistics, which is normally a one-year program that does not carry financial aid.

The M.P.S. is intended for persons who want a short-term (one year) master's degree so as to go into business, industry, or government statistical work. The M.P.S. is not equivalent to an M.S. on several counts: the M.P.S. has a project (a large-scale data-analysis project) rather than a thesis or a qualifying exam (which would be the case for an M.S.). The mathematical probability/statistics component of the M.P.S. is less than it would be for an M.S. (which would be considered the first part of a Ph.D.).

The admissions procedures are completely independent: at Cornell, if you want to go on for a Ph.D. after the M.P.S. you must to apply as a new student to the Ph.D. program; you would be considered as part of the "pool" of Ph.D. applicants and, if admitted, you might be able to apply some of your M.P.S. coursework, but there is no guarantee. The Ph.D. in Statistics at Cornell enrolls about 7 to 10 students each year; the M.P.S., about 60 to 70.

If you are applying for the M.P.S. Applied Statistics program, let us know if you're interested in Option I or Option II.

The Master of Professional Studies in Applied Statistics offers two options for specialization: Option I, the "traditional" M.P.S. program, and Option II, the data science option, which began in 2008. About 60 percent of M.P.S. students select Option I. Option II contains all of the requirements of Option I with additional training in computer science to prepare students to deal more effectively with the new challenges imposed by the explosion of data resources. Ideally, applicants for Option II are computer science majors, but applicants who have had significant exposure to computer science-related fields are also considered. Most Option I students take as electives some or all of the core courses designed for Option II.

Please see our M.P.S. Degree Requirements and Regulations page for information about the M.P.S. degree requirements, including required courses for both options.

## Contact Information

Website: http://www.stat.cornell.eduEmail: sds@cornell.edu

Phone: 607 255-8066

301 Malott Hall

Cornell University

Ithaca, NY 14853

## Data and Statistics

## Field Manual

## Subject and Degrees

### Applied Statistics

### Statistics

## Concentrations by Subject

### Applied Statistics

- applied statistics

### Statistics

- biometry
- decision theory
- econometrics
- engineering statistics
- experimental design
- mathematical statistics
- probability
- sampling
- social statistics
- statistical computing
- stochastic processes

## Faculty

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Applied Statistics:*applied statistics**Research Interests:**Clinical trials and high-dimensional data analysis.

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*statistical computing

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry; mathematical statistics; statistical computing**Research Interests:**high dimensional statistics time series, graphical models, genomics and financial econometrics

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*engineering statistics; statistical computing; stochastic processes**Research Interests:**Applied numerical linear algebra, Scientific computing, High-performance computing, Spectral network analysis methods, Fast methods in Gaussian processes, Optimization via surrogate models, Finite element analysis, Computational plasma physics. Computational tools for electrical power grids, Simulation tools for micro-electro-mechanical systems (MEMS)

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*experimental design; mathematical statistics; statistical computing**Research Interests:**computer intensive methods; generalized linear models; Monte Carlo simulation; statistical genomics

**Campus:**Ithaca**Concentrations:***Statistics:*decision theory; mathematical statistics; probability**Research Interests:**high dimensional modeling; sparsity; model selection; model averaging; non-parametric statistics; machine learning

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Statistics:*econometrics**Research Interests:**Private Law (particularly Property Law), Land Use Regulation, Economic Analysis of Law, Empirical Legal Studies of Judicial Systems

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*probability**Research Interests:**Stochastic processing networks Fluid and diusion models of queueing networks Impulse, singular and drift controls of diusions Customer contact center management Patient flow management in hospitals Semiconductor wafer manufacturing Revenue management Algorithm trading, order book dynamics

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Applied Statistics:*applied statistics**Research Interests:**Designs and offers courses on applications of statistics and data science in the industry, with specific emphasis in the areas of economics and finance. Conducted research on banking and systemic risk, financial markets in emerging economies, and behavioral macroeconomics.

**Campus:**Ithaca**Concentrations:***Statistics:*engineering statistics; statistical computing**Research Interests:**algorithmic, software and hardware techniques for high performance data analytics, data analytics and machine learning

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*econometrics; mathematical statistics**Research Interests:**likelihood inference; resampling methods; asymptotic approximations; linear models

**Campus:**Ithaca**Concentrations:***Statistics:*econometrics; mathematical statistics; sampling; statistical computing**Research Interests:**Causal inference, reinforcement learning, Bayesian inference, random sampling, and high-dimensional statistics

**Campus:**Ithaca**Concentrations:***Statistics:*decision theory; engineering statistics; experimental design; mathematical statistics; probability; sampling; statistical computing; stochastic processes**Research Interests:**High-dimensional phenomena in statistics and probability theory, statistical physics, algorithms, and problems where these areas meet.

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Statistics:*mathematical statistics**Research Interests:**Ranking and Selection, Statistics Education

**Campus:**Ithaca - (Minor Member)**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*statistical computing**Research Interests:**Statistics, Machine Learning, Spatial Statistics, Exploratory Analysis, Semiparametric Regression, Predictive Analytics, Data Analysis, Observational data, crowd sourced Data, and Citizen Science

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*probability**Research Interests:**Optimal learning, sequential decision-making under uncertainty, and machine learning, focusing on applications in simulation optimization, design of experiments, materials science, e-commerce and medicine.

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*econometrics; experimental design**Research Interests:**Causal Inference, Data Science, Responsible Analytics

**Campus:**Ithaca**Concentrations:***Statistics:*decision theory; experimental design**Research Interests:**Clinical trial design, robust and efficient inference and causal discovery, and fairness in treatment outcomes

**Campus:**Ithaca**Concentrations:***Statistics:*mathematical statistics; statistical computing**Research Interests:**Focuses broadly on optimal transport, information theory, mathematical statistics, and statistical learning theory. More specific interests include: Statistical divergences and optimal transport theory: fundamentals and applications to inference and learning Information theory Privacy and security High-dimensional and nonparametric statistics

**Campus:**Ithaca**Concentrations:***Statistics:*biometry; statistical computing**Research Interests:**spatial temporal statistics with applications in weather and climate

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry; experimental design; mathematical statistics; sampling; statistical computing; stochastic processes**Research Interests:**statistical learning theory; nonlinear functional data analysis; diagnostic and graphical statistics; nonlinear regression analysis

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry**Research Interests:**Epidemiology Biomedical Applications

**Campus:**Ithaca**Concentrations:***Statistics:*engineering statistics; mathematical statistics; statistical computing**Research Interests:**machine learning; text-mining; statistical learning theory; information access

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*decision theory; experimental design; mathematical statistics**Research Interests:**optimization under uncertainty, casual inference, machine learning, personalization, online decision making

**Campus:**Ithaca**Concentrations:***Statistics:*mathematical statistics; stochastic processes**Research Interests:**mathematical statistics, econometrics

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*decision theory**Research Interests:**econometrics; risk management; Bayesian statistics

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry; stochastic processes**Research Interests:**General fields of population genetics and evolutionary biology. Application of statistical methods and mathematical models to understand evolutionary processes and population dynamics. Evolution, biomedical, legal, and social implications in areas such as genetic epidemiology, cancer evolution, conservation genomics, and forensic genetics.

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry; decision theory; econometrics; engineering statistics; sampling; social statistics; statistical computing**Research Interests:**Bayesian statistics; time series; functional data; spatial data; missing data; regression; statistical computing; prediction

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*statistical computing**Research Interests:**statistical modeling and machine learning in neuroimaging and neurology

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry**Research Interests:**statistical bioinformatics, global health, biomedical statistics, epidemiology

**Campus:**Ithaca - (Minor Member)**Concentrations:***Statistics:*statistical computing**Research Interests:**poisson processes;marked point processes; gaussian processes; astrostatistics; astroinformatics; bayesian statistics; bayesian computation; bayesian experimental design; functional data analysis; statistical software development

**Campus:**Ithaca**Concentrations:***Statistics:*biometry; econometrics; engineering statistics; mathematical statistics; social statistics; statistical computing; stochastic processes**Research Interests:**financial econmetrics; non parametric statistics; spatio-temporal statistics; biostatistics; machine learning

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry; statistical computing**Research Interests:**quantitative genetics/genomics; statistical genetics; computational biology; pathway modeling; molecular evolution

**Campus:**Ithaca**Concentrations:***Statistics:*econometrics; mathematical statistics; sampling**Research Interests:**econometrics; identification; survey methodology

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*mathematical statistics; statistical computing**Research Interests:**high dimensional statistics semi parametrics, causal inference

**Campus:**Ithaca**Concentrations:***Statistics:*mathematical statistics**Research Interests:**mathematical statistics

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Statistics:*biometry**Research Interests:**Forest biometrics, statistics education

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry; engineering statistics; mathematical statistics; statistical computing**Research Interests:**semiparametric regression; functional data analysis; splines and nonparametric estimation; astrostatistics; calibration and uncertainty analysis; environmental statistics

**Campus:**Ithaca**Concentrations:***Statistics:*engineering statistics; probability; stochastic processes**Research Interests:**probability theory

**Campus:**Cornell ILR NYC - (Divisional Member)**Concentrations:***Statistics:*biometry

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*probability**Research Interests:**Machine Learning, Statistical Learning Theory, Online Learning and Decision Making, Optimization, Empirical Process Theory, Concentration Inequalities, Game Theory

**Campus:**Ithaca - (Minor Member)**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*social statistics**Research Interests:**Propensity scores Missing data Causal Inference Structural equation modeling

**Campus:**Ithaca**Concentrations:***Statistics:*engineering statistics; experimental design; sampling; social statistics; statistical computing**Research Interests:**optimization and machine learning for large scale data analysis/control, applications in marketing, demographic modeling, medical informatics, engineering system design

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry; experimental design**Research Interests:**applied statistics

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*decision theory; engineering statistics; statistical computing**Research Interests:**Statistical machine learning for biomedical data analysis

**Campus:**Ithaca**Concentrations:***Statistics:*mathematical statistics; social statistics; statistical computing**Research Interests:**Graphical Models, Machine Learning, Causal Discovery, High-dimensional Statistics

**Campus:**Ithaca**Concentrations:***Statistics:*mathematical statistics**Research Interests:**classification; copulas; empirical processes; high dimensional models; model selection; non parametric estimation; penalized empirical risk minimization

**Campus:**Ithaca**Concentrations:***Statistics:*statistical computing**Research Interests:**machine learning with a focus on metric learning, high dimensional data analysis, resource efficiency and learning scenarios that are used in web a biomedical applications

**Campus:**Ithaca**Concentrations:***Applied Statistics:*applied statistics;*Statistics:*biometry; decision theory; econometrics; mathematical statistics; sampling**Research Interests:**Bayesian statistics; decision theory; empirical legal studies; epidemiology; social statistics; statistical bioinformatics; survival analysis

**Campus:**Ithaca - (Divisional Member)**Concentrations:***Applied Statistics:*applied statistics**Research Interests:**proteomics and bioinformatics

**Campus:**Ithaca**Concentrations:***Statistics:*decision theory; mathematical statistics; probability**Research Interests:**The broad area of high-dimensional statistics and machine learning, including random network analysis, optimality analysis, Bayesian analysis, oracle inequalities, nonparametric estimation, convergence analysis for algorithms, rapidly mixing Markov chains, ethics and safety in machine learning

**Campus:**Ithaca**Concentrations:***Statistics:*engineering statistics; statistical computing**Research Interests:**algorithms, statistics and machine learning, data science