Courses

Tentative information about Spring 2026 - Fall 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 - Fall 2026

Fall	Course Title	Instructor(s)	Day(s)	Time(s)	Location
STAT 91r	Supervised Reading and Research	Kevin Rader	TBD	TBD	Meeting times/locations arranged with advisor
STAT 99r	Tutorial - Senior Year	Alex Young	F	10:30-11:45am	TBD
STAT 100	Introduction to Statistics and Data Science	Mine Dogucu	M/W	1:30-2:45am	TBD
STAT 104	Introduction to Quantitative Methods for Economics	Kevin Rader	T/Th	10:30-11:45am	TBD
STAT 109A	Data Science 1: Introduction to Data Science	Pavlos Protopapas, Natesh Pillai	M/W/F	10:30-11:45am	TBD
STAT 110	Introduction to Probability	Joe Blitzstein	T/Th	1:30-2:45pm	Memorial Hall Sanders Theater
STAT 139	Introduction to Linear Models	James Xenakis	T/Th	4:30-5:45pm	TBD
STAT 185	Introduction to Unsupervised Learning	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	Joe Blitzstein	T/Th	10:30-11:45am	TBD
STAT 211	Statistical Inference 1	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	Mark Glickman	M/W	9:00-10:15am	TBD
STAT 286	Causal Inference with Application	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	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

Course List - Spring 2026

Spring	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	Alex Young	F	10:30-11:45am	Maxwell-Dworkin (MD) 206
STAT 100	Introduction to Statistics and Data Science	James Xenakis	M/W	10:30-11:45am	Science Center (SC) Hall D
STAT 102	Introduction to Statistics for Life Sciences	Julie Vu	T/Th	10:30-11:45am	Biolabs 1080
STAT 109B	Data Science 2: Advanced Topics in Data Science	Kevin Rader, Pavlos Protopapas	M/W	9:45-11am	SEC 1.321
STAT 111	Introduction to Statistical Inference	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	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	Mark Glickman	M/W	1:30-2:45pm	MD G115
STAT 149	Introduction to Generalized Linear Models	Mark Glickman	M/W	9-10:15am	MD G115
STAT 171	Introduction to Stochastic Processes	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	Subhabrata Sen	M/W	4:30-5:45pm	MD G125
STAT 213	Statistical Inference II	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	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	Kevin Rader	Th	3-4:15pm	MD 123
STAT 305R	Statistical Consulting	Lucas Janson	TBD	TBD	TBD
STAT 314HFRB	Timely Topics in Statistics	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

Online Education

The Statistics probability course (STAT 110) is offered as an online course and is taught by Professor of the Practice Joseph Blitzstein. Joe Blitzstein has taught this course each year since 2006.
See the course on YouTube or at edX.

Courses

Course List - Fall 2026

Course List - Spring 2026

Online Education

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