#  Courses 

 



       ![books](/sites/g/files/omnuum10116/files/styles/hwp_21_9__1920x825/public/statistics-2/files/debby-hudson-544369-unsplash.jpg?itok=ptdIHayO) 

 

 



 

 



 

Tentative information about Fall 2025 - Spring 2026 Courses is posted below**.** Clicking on course titles will lead you to more information on the Canvas site.

The Statistics Department also offers some courses online.



 

 Course List - Spring 2026 Course List - Fall 2026 Online Education 

## Course List - Spring 2026

 

 

SortSpring**Course Title****Instructor****Day(s)****Time(s)****Location**STAT 91r

[Supervised Reading + Research](/)

Kevin Rader

TBD

TBD

Meeting times/locations arranged with advisor

STAT 99r

[Tutorial - Senior Year](https://canvas.harvard.edu/courses/129007)

Alex Young

F

10:30-11:45am

Maxwell-Dworkin (MD) 206

STAT 100

[Introduction to Statistics and Data Science](/Introduction%20to%20Statistics%20and%20Data%20Science)

James Xenakis

M/W

10:30-11:45am

Science Center (SC) Hall D

STAT 102

[Introduction to Statistics for Life Sciences](https://canvas.harvard.edu/courses/127545)

Julie Vu

T/Th

10:30-11:45am

Biolabs 1080

STAT 109B

[Data Science 2: Advanced Topics in Data Science](https://canvas.harvard.edu/courses/127134)

Kevin Rader, Pavlos Protopapas

M/W

9:45-11am

SEC 1.321

STAT 111

[Introduction to Statistical Inference](https://canvas.harvard.edu/courses/126187)

Joe Blitzstein, Neil Shephard

T/Th

1:30-2:45pm

SC Hall C  
 

STAT 114

Introduction to Bioinformatics and Statistical Genetics

James Xenakis

T/Th

10:30-11:45am

MD G125

STAT 117

[Data Analysis in Modern Biostatistics](https://canvas.harvard.edu/courses/129153)

Giovanni Parmigiani

M/W

9-10:15am

SC 110

STAT 140

Design of Experiments

Marie-Abele Bind

M/W

10:30-11:45am

MD G135

STAT 143

[Sports Analytics](https://canvas.harvard.edu/courses/130144)

Mark Glickman

M/W

1:30-2:45pm

MD G115

STAT 149

[Introduction to Generalized Linear Models](https://canvas.harvard.edu/courses/128148)

Mark Glickman

M/W

9-10:15am

MD G115

STAT 171

[Introduction to Stochastic Processes](https://canvas.harvard.edu/courses/126551)

Subhabrata Sen

M/W

1:30-2:45pm

SC Hall E

STAT 175

Statistics and Data Science of Networks

Morgane Austern

M/W

3-4:15pm

MD G115

STAT 212

[Probability II](https://canvas.harvard.edu/courses/128869)

Subhabrata Sen

M/W

4:30-5:45pm

MD G125

STAT 213

[Statistical Inference II](https://canvas.harvard.edu/courses/128099)

Pragya Sur

M/W

1:30-2:45pm

MD G135

STAT 220

Bayesian Inference

Joe Blitzstein

T/Th

10:30-11:45am

SC Hall E

STAT 221

Computational Statistics: Monte Carlo and Optimization

Alex Young

T/Th

1:30-2:45pm

MD G125

STAT 293

Design of Experimental and Non-Experimental Studies

Jose Zubizarreta

F

9-11:45am

MD 234

STAT 300HFRB

[Research in Statistics](https://locator.tlt.harvard.edu/course/colgsas-160669/2023/spring/12423)

Mark Glickman and faculty

T/Th

12:00-1:15pm

MD 119

STAT 301

Special Reading and Research

All Faculty

TBD

TBD

TBD

STAT 303

[The Art and Practice of Teaching Statistics](https://canvas.harvard.edu/courses/128250)

Kevin Rader

Th

3-4:15pm

MD 123

STAT 305R

[Statistical Consulting](https://canvas.harvard.edu/courses/127848)

Lucas Janson

TBD

TBD

TBD

STAT 314HFRB

[Timely Topics in Statistics](https://canvas.harvard.edu/courses/128252)

Subhabrata Sen

M

3-4:15pm

MD 206

STAT 364

Statistical Machine Learning and AI Methods with Applications

Xihong Lin

M

10:30-11:45am

MD 206





\**Course Schedules Tentative*

[Harvard Course Catalogs](https://courses.my.harvard.edu/psp/courses/EMPLOYEE/EMPL/h/?tab=HU_CLASS_SEARCH)



 



 

 

 

## Course List - Fall 2026

 

 

SortFall**Course Title****Instructor(s)**Day(s)Time(s)**Location**STAT 91r

[Supervised Reading and Research](https://portal.my.harvard.edu/psp/hrvihprd/EMPLOYEE/EMPL/h/?tab=HU_CLASS_SEARCH&SearchReqJSON=%7B%22ExcludeBracketed%22:true,%22Exclude300%22:false,%22PageSize%22:%22%22,%22TopN%22:%22%22,%22PageNumber%22:1,%22SortOrder%22:%5B%22IS_SCL_SUBJ_CAT%22%5D,%22Facets%22:%5B%5D,%22SaveRecent%22:true,%22CombineClassSections%22:true,%22SearchText%22:%22(STRM:%5C%222258%5C%22)%20(ACAD_ORG:%5C%22STAT%5C%22)%22%7D)

Kevin Rader

TBD

TBD

Meeting times/locations arranged with advisor

STAT 99r

[Tutorial - Senior Year](https://canvas.harvard.edu/courses/153040)

Alex Young

F

10:30-11:45am

TBD

STAT 100

[Introduction to Statistics and Data Science](https://canvas.harvard.edu/courses/155312)

Mine Dogucu

M/W

1:30-2:45am

TBD

STAT 104

[Introduction to Quantitative Methods for Economics](https://locator.tlt.harvard.edu/course/colgsas-114027/2025/fall/11361)

Kevin Rader

T/Th

10:30-11:45am

TBD

STAT 109A

[Data Science 1: Introduction to Data Science](https://locator.tlt.harvard.edu/course/colgsas-203101/2025/fall/12211)

Pavlos Protopapas, Natesh Pillai

M/W/F

10:30-11:45am

TBD

STAT 110

[Introduction to Probability](https://locator.tlt.harvard.edu/course/colgsas-110766/2025/fall/11362)

Joe Blitzstein

T/Th

1:30-2:45pm

Memorial Hall Sanders Theater

STAT 139

[Introduction to Linear Models](https://canvas.harvard.edu/courses/154816)

James Xenakis 

T/Th

4:30-5:45pm

TBD

STAT 185

[Introduction to Unsupervised Learning](https://canvas.harvard.edu/courses/135912)

Alex Young

T/Th

1:30-2:45pm

TBD

STAT 188

Variations, Information and Privacy

Xiao-Li Meng

W

3:00-5:45pm

TBD

STAT 210

[Probability 1](https://locator.tlt.harvard.edu/course/colgsas-111696/2025/fall/13942)

Joe Blitzstein

T/Th

10:30-11:45am

TBD

STAT 211

[Statistical Inference 1 ](https://locator.tlt.harvard.edu/course/colgsas-111130/2025/fall/14203)

Morgane Austern

M/W

3:00-4:15pm

TBD

STAT 236

Network and Text Data Analysis

Tracy Ke

M/W

10:30-11:45am

TBD

STAT 244

[Linear and Generalized Linear Models](https://canvas.harvard.edu/courses/153354)

Mark Glickman

M/W

9:00-10:15am

TBD

STAT 286

[Causal Inference with Application](https://locator.tlt.harvard.edu/course/colgsas-156925/2025/fall/17496)

Kosuke Imai

M/W

3:00-4:15pm

TBD

STAT 291

Random High-Dimensional Optimization: Landscapes   
and Algorithmic Barriers

Mark Sellke

T/Th

1:30-2:45pm

TBD

STAT 300HFRA

[Research in Statistics](https://locator.tlt.harvard.edu/course/colgsas-110392/2025/fall/11617)

Mark Glickman and faculty

Th

12:00-1:15pm

TBD

STAT 301

Special Reading and Research

All Faculty

TBD

TBD

TBD

STAT 305R

Statistical Consulting

James Xenakis

TBD

TBD

TBD





[Harvard Course Catalogs](https://courses.my.harvard.edu/psp/courses/EMPLOYEE/EMPL/h/?tab=HU_CLASS_SEARCH)



 



 

 

 

## Online Education

 

 

   ![blitzstein](/sites/g/files/omnuum10116/files/styles/hwp_1_1__360x360_scale/public/statistics-2/files/blitzstein_1.jpg?itok=YcWwryBu) 

 

  
The Statistics **probability course (STAT 110)** is offered as an online course and is taught by Professor of the Practice [Joseph Blitzstein](/people/joseph-k-blitzstein). Joe Blitzstein has taught this course each year since 2006.  
See the course on [YouTube](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo) or at [edX](https://www.edx.org/course/introduction-to-probability-0).



 



 

 

 

 

 

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