Buy Stata | Student single-user purchases (educational)

Student single-user

New purchases Student single-user Students currently enrolled at degree-granting institutions may purchase a single-user Stata license at the prices listed below. Proof of student status (i.e., copy of your university ID card) is required. To see the pricing for your desired license term, select 6-month, Annual, or Perpetual below.

Students currently enrolled at degree-granting institutions may purchase a single-user Stata license at the prices listed below. Proof of student status (i.e., copy of your university ID card) is required.

To see the pricing for your desired license term, select 6-month, Annual, or Perpetual below.

Product features

Stata/BE
(Basic Edition)

Stata/SE
(Standard Edition)

Stata/MP

Stata/MP: The fastest version of Stata (for dual-core and multicore computers) that can also analyze more data than any other flavor of Stata.

2-core

4-core

Maximum number of variables

Maximum number of columns/fields allowed in your dataset.

Up to 2,048 variables

Up to 32,767 variables

Up to 120,000 variables

Maximum number of observations

Maximum number of rows/records in your dataset.

Stata/MP holds up to 20 billion observations given the current largest computer, and is ready for more once computer hardware catches up.

Up to 2.14 billion

Up to 20 billion

Speed comparisons

Stata is fast.

Stata/MP is the fastest edition of Stata and handles the largest datasets. All modern computers can take advantage of the advanced multiprocessing of Stata/MP. This means

Stata/MP2 runs almost two times faster than Stata/SE
Stata/MP4 runs almost four times faster than Stata/SE
Higher MP licenses run even faster

Read a more in-depth discussion of the speed advantages of Stata/MP.

Fast

Twice as fast as Fast

Almost four times as fast as Fast

Even faster

Time to run logistic regression with 10 million observations and 20 covariates

20 seconds

10 seconds

5.2 seconds

< 5.2 seconds

Maximum number of independent variables

Maximum number of explanatory variables allowed in a model. In the linear regression case, the maximum number of regressors.

798

10,998

65,532

Complete suite of statistical features

Linear models	Panel data	Survival analysis
Multilevel models	Treatment effects	Time series
GLM	ANOVA/MANOVA	Binary outcomes
Multiple imputation	SEM	Count outcomes
Survey methods	Exact statistics	Power and sample size
Contrasts	Marginal effects	GMM
FMM	Cluster analysis	Spatial autoregression
Multivariate methods	LCA	Bootstrapping
Basic statistics	Epidemiology	Programmable MLE
Simulation	Nonparametrics	and more ...
Bayesian analysis	Item response theory

Publication-quality graphics

Extensive data management facilities

Truly reproducible research

Comprehensive reporting and table generation

Powerful programming language

Complete PDF documentation

Over 18,000 pages of documentation, including fully worked examples and methods and formulas.

Exceptional technical support

Includes within-release updates

Windows, macOS, and Linux

All Stata licenses run on all three platforms.

And much more for all your data science needs

Memory requirements

1 GB

2 GB

4 GB

Disk space requirements

2 GB

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New purchases

Student single-user

Stata/BE

Stata/SE

Stata/MP

Stata/MP: The fastest version of Stata (for dual-core and multicore computers) that can also analyze more data than any other flavor of Stata.

2-core

Stata/MP
4-core

We use cookies

Privacy policy

Required cookies

Advertising and performance cookies

Stata/MP4 Annual License (download)

New purchases

Student single-user

Stata/BE

Stata/SE

Stata/MP Stata/MP: The fastest version of Stata (for dual-core and multicore computers) that can also analyze more data than any other flavor of Stata. 2-core

Stata/MP4-core

We use cookies

Privacy policy

Required cookies

Advertising and performance cookies

Stata/MP

Stata/MP: The fastest version of Stata (for dual-core and multicore computers) that can also analyze more data than any other flavor of Stata.

2-core

Stata/MP
4-core