Courses

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

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

Course List - Fall 2025

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	Science Center (SC) 705
STAT 100	Introduction to Statistics and Data Science	James Xenakis	M/W	10:30-11:45am	Emerson 105
STAT 104	Introduction to Quantitative Methods for Economics	Kevin Rader	M/W	1:30-2:45pm	SC Hall E
STAT 109A	Data Science 1: Introduction to Data Science	Pavlos Protopapas, Kevin Rader	M/W/F	10:30-11:45am	Lowell Lecture Hall
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	10:30-11:45am	Geological Museum 100 (Lecture Hall)
STAT 151	Multilevel and Longitudinal Models	Luke Miratrix	T/Th	1:30-2:45pm	SC 309A
STAT 185	Introduction to Unsupervised Learning	Alex Young	T/Th	10:30-11:45am	STAT 309A
STAT 210	Probability 1	Joe Blitzstein	T/Th	10:30-11:45am	SC Hall E
STAT 211	Statistical Inference 1	Morgane Austern	M/W	4:30-5:45pm	SC Hall E
STAT 242	Time Series	Neil Shephard	M/W	10:30-11:45am	Sever 214
STAT 244	Linear and Generalized Linear Models	Mark Glickman	M/W	9-10:15am	SC Hall A
STAT 286	Causal Inference with Application	Kosuke Imai	M/W	3-4:15pm	CGIS South S010
STAT 300HFRA	Research in Statistics	Mark Glickman and faculty	Th	12-1pm	SC 316.12
STAT 301	Special Reading and Research	All Faculty	TBD	TBD	TBD
STAT 305R	Statistical Consulting	Joe Blitzstein, Mark Glickman, Kevin Rader, Neil Shephard, Alex Young	TBD	TBD	SC 706

Harvard Course Catalogs

Course List - Spring 2025

Spring	Course Title	Instructor	Day(s)	Time(s)	Location
STAT 91r	Supervised Reading and Research	Kevin Rader	TBD	TBD	TBD
STAT 99r	Tutorial - Senior Year	Alex Young	F	10:30-11:45am	SC 705
STAT 100	Intro to Stat & Data Science	Mark Glickman, James Xenakis	M/W	1:30-2:45pm	Science Center (SC) Hall C
STAT 102	Intro to Stat for Life Sciences	Julie Vu	T/Th	10:30-11:45am	SC B10
STAT 106	Data Science for Sports Analytics	Kevin Rader	T/Th	10:30-11:45am	SC Hall D
STAT 109B	Data Science 2: Advanced Topics in Data Science	Natesh Pillai, Pavlos Protopapas	M/W/F	9-10:15am	Northwest B103
STAT 111	Intro to Statistical Inference	Joe Blitzstein, Neil Shephard	T/Th	1:30-2:45pm	SC Hall C
STAT 114	Intro to Bioinformatics and Statistical Genetics	James Xenakis	M/W	10:30-11:45am	SC 412
STAT 117	Data Analysis in Modern Biostatistics	Giovanni Parmigiani	T/Th	9-10:15am	SC 705
STAT 131	Intro to Time Series and Prediction	Tracy Ke	M/W	3-4:15pm	SC 309A
STAT 141	Intro to Spatial Statistics	Alex Young	M/W	10:30-11:45am	SC 116
STAT 149	Intro to Generalized Linear Models	Mark Glickman	M/W	9-10:15am	SC Hall E
STAT 171	Intro to Stochastic Processes	Mark Sellke	T/Th	3-4:15pm	SC Hall E
STAT 186	Intro to Causal Inference	Susan Murphy	M/W	4:30-5:45pm	SC 228
STAT 195	Intro to Supervised Learning	Pragya Sur	M/W	10:30-11:45am	SC 705
STAT 212	Probability 2	Mark Sellke	M/W	9-10:15am	Sever 103
STAT 213	Statistical Inference 2	Pragya Sur	M/W	1:30-2:45pm	SC 705
STAT 234	Sequential Decision Making	Susan Murphy	M/W	1:30-2:45pm	SC 116
STAT 288	Deep Statistics: AI and Earth Observations for Sustainable Dev	Xiao-Li Meng	Tu	9-11:45am	SC 706
STAT 300HFRB	Research in Statistics	Mark Glickman, Tracy Ke	Th	12-1:15pm	SC 706
STAT 301	Special Reading and Research	All faculty	TBD	TBD	TBD
STAT 303	The Art and Practice of Teaching Statistics	Joe Blitzstein	Th	10:30-11:45am	SC 706
STAT 305R	Statistical Consulting	Faculty	Th	3-4:15pm	SC 706
STAT 310HFRB	Topics in Astrostatistics	Xiao-Li Meng	W	12-1:30pm	SC 706
STAT 314HFRB	Timely Topics in Statistics	Mark Sellke	M	12-1pm (colloquium) 10:30-11:45am (class)	316.12 SC 111
STAT 364	Scalable Stat Inference for Big Data w/ Applications	Xihong Lin	M	10:30-11:45am	SC 706

*Course Schedules Tentative

Harvard Course Catalog

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 - Spring 2026

Course List - Fall 2025

Course List - Spring 2025

Online Education

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