University of California, Berkeley

About the Program

Bachelor of Arts (BA)

The undergraduate major at Berkeley provides a systematic and thorough grounding in applied and theoretical statistics as well as probability. The quality and dedication of the teaching staff and faculty are extremely high. A major in Statistics from Berkeley is an excellent preparation for a career in science or industry, or for further academic study in a wide variety of fields. The department has particular strength in Machine Learning, a key ingredient of the emerging field of Data Science. It is also very useful to combine studies of statistics and probability with other subjects. Our department excels at interdisciplinary science, and more than half of the department's undergraduate students are double or triple majors.

Students interested in teaching statistics and mathematics in middle or high school should pursue the teaching option within the major. Students interested in teaching should also consider the Cal Teach Program.

Declaring the Major

Students should apply in the semester they will complete their prerequisites. For applicants with prerequisites in progress, applications will be reviewed after the grades for all prerequisites are available, 2-3 weeks after finals. For applicants who have completed all prerequisites in a previous term, applications will be reviewed and processed within a week.

For detailed information regarding the process of declaring the major, please see the Statistics Department website.

Minor Program

The minor is for students who want to study a significant amount of statistics and probability at the upper division level. For information regarding the requirements, please see the Minor Requirements tab on this page.

For detailed information regarding the process of declaring the minor, please see the Statistics Department website.

Visit Department Website

Major Requirements

In addition to the University, campus, and college requirements, listed on the College Requirements tab, students must fulfill the below requirements specific to their major program.

General Guidelines

  1. All courses taken to fulfill the major requirements below must be taken for graded credit, other than courses listed which are offered on a Pass/No Pass basis only. Other exceptions to this requirement are noted as applicable.
  2. No more than one upper division course may be used to simultaneously fulfill requirements for a student's major and minor programs, with the exception of minors offered outside of the College of Letters & Science.
  3. A minimum grade point average (GPA) of 2.0 must be maiDntained in both upper and lower division courses used to fulfill the major requirements.
  4. The requirements below apply to freshmen entering Berkeley in Fall 2018, and transfer students entering in Fall 2020. Freshmen students admitted to Berkeley prior to Fall 2018 and transfer students admitted prior to Fall 2020 are required to complete the requirements as published in the 2017-18 Berkeley Academic Guide.

For information regarding residency requirements and unit requirements, please see the College Requirements tab.


Students must earn a minimum 3.2 UC grade point average in the lower division math prerequisites with no lower than a C in each. 1
MATH 1ACalculus4
MATH 1BCalculus4
MATH 53Multivariable Calculus4
MATH 54Linear Algebra and Differential Equations4
A minimum C grade in one of the following:
STAT C8/COMPSCI C8/INFO C8Foundations of Data Science4
or STAT 20 Introduction to Probability and Statistics
or STAT 28 Statistical Methods for Data Science
A minimum B- grade in one of the following: 2
STAT 134Concepts of Probability4
or STAT 140 Probability for Data Science
STAT 135Concepts of Statistics4

Upper Division Requirements (Nine Courses)

Core Statistics Courses (3)
STAT 133Concepts in Computing with Data3
STAT 134Concepts of Probability 34
or STAT 140 Probability for Data Science
STAT 135Concepts of Statistics4
Statistics Electives (3)
Select three statistics electives from the following; at least one of the selections must have a lab:10-12
STAT 150Stochastic Processes3
STAT 151ALinear Modelling: Theory and Applications (LAB COURSE)4
STAT 152Sampling Surveys (LAB COURSE)4
STAT 153Introduction to Time Series (LAB COURSE)4
STAT 154Modern Statistical Prediction and Machine Learning (LAB COURSE)4
STAT 155Game Theory3
STAT 157Seminar on Topics in Probability and Statistics3
STAT 158The Design and Analysis of Experiments (LAB COURSE)4
STAT 159Reproducible and Collaborative Statistical Data Science (LAB COURSE)4
Applied Cluster Courses (3)
Select three applied cluster courses. See Cluster Course Information and Approved Cluster Courses below the Teaching Option requirements.9-12

Upper Division Requirements: Teaching Option (Nine Courses)

Core Statistics Courses (3)
STAT 133Concepts in Computing with Data3
STAT 134Concepts of Probability 34
or STAT 140 Probability for Data Science
STAT 135Concepts of Statistics4
Statistics Electives (2)
Select two of the following; at least one course must include a lab:7-8
STAT 150Stochastic Processes3
STAT 151ALinear Modelling: Theory and Applications (LAB COURSE)4
STAT 152Sampling Surveys (LAB COURSE)4
STAT 153Introduction to Time Series (LAB COURSE)4
STAT 154Modern Statistical Prediction and Machine Learning (LAB COURSE)4
STAT 155Game Theory3
STAT 157Seminar on Topics in Probability and Statistics3
STAT 158The Design and Analysis of Experiments (LAB COURSE)4
STAT 159Reproducible and Collaborative Statistical Data Science (LAB COURSE)4
Teaching Track Cluster (4)
MATH 110Linear Algebra4
MATH 113Introduction to Abstract Algebra4
MATH 151Mathematics of the Secondary School Curriculum I4
MATH 152Mathematics of the Secondary School Curriculum II4
or MATH 153 Mathematics of the Secondary School Curriculum III

Cluster Course Information

The applied cluster is a chance to learn about areas in which statistics can be applied and to learn specialized techniques not taught in the Statistics Department. Students need to design their own applied cluster. The courses should have a unifying theme. Picking their own applied cluster is a valuable exercise that gives students a chance to explore and refine their interests and to develop a coherent course of study. A preapproved list has been provided below. However, it is not exhaustive. Clusters may consist of courses from more than one department, but at least two must be approved courses from the same department. If students would like to use a course that is not on the list or select three courses from three different departments, the Head Undergraduate Major Faculty Adviser must approve the proposed cluster. Cluster courses should meet the following criteria:

  1. Courses must be upper division courses and at least 3 units.
  2. Courses in the biological and physical sciences, chemistry, and engineering are often acceptable.
  3. Courses in social sciences must be quantitative.
  4. Courses with statistics prerequisites are often acceptable.
  5. Courses that are similar to courses offered in the Statistics Department are not acceptable.
  6. Courses that primarily teach how to use a particular software package are not acceptable.
  7. Courses that focus on the use of spreadsheet software (e.g., UGBA 104) are not acceptable.
  8. Courses should be taken in the home department. For instance, economics classes should be taken in the economics or business department.
  9. Seminars and special topics courses require approval by the undergraduate faculty adviser.

Approved Cluster Courses

Of the three applied cluster courses required for the major, at least two must be approved courses from the same department. This is not an exhaustive list.

ANTHRO C100Human Paleontology5
ANTHRO C103Introduction to Human Osteology6
ANTHRO 115Introduction to Medical Anthropology4
ANTHRO 121CHistorical Archaeology: Historical Artifact Identification and Analysis4
ANTHRO C124C/INTEGBI C187Human Biogeography of the Pacific3
ANTHRO 127ABioarchaeology: Introduction to Skeletal Biology and Bioarchaeology4
ANTHRO 127BBioarchaeology: Reconstruction of Life in Bioarchaeology4
ANTHRO C129D/INTEGBI C155Holocene Paleoecology: How Humans Changed the Earth3
ANTHRO 132AAnalysis of Archaeological Materials: Analysis of Archaeological Ceramics4
ANTHRO 135Paleoethnobotany: Archaeological Methods and Laboratory Techniques4
ANTHRO 169BResearch Theory and Methods in Socio-Cultural Anthropology5
ARCH 140Energy and Environment4
ARCH 150Introduction to Structures4
ARCH 154Design and Computer Analysis of Structure3
ASTRON 160Stellar Physics4
ASTRON C161Relativistic Astrophysics and Cosmology4
ASTRON C162Planetary Astrophysics4
BIO ENG 104Biological Transport Phenomena4
BIO ENG C112Molecular Biomechanics and Mechanobiology of the Cell4
BIO ENG C117Structural Aspects of Biomaterials4
BIO ENG C119Orthopedic Biomechanics4
BIO ENG C125Introduction to Robotics4
BIO ENG C125BRobotic Manipulation and Interaction4
BIO ENG 131Introduction to Computational Molecular and Cell Biology4
BIO ENG C136LLaboratory in the Mechanics of Organisms3
BIO ENG C137Designing for the Human Body3
BIO ENG 144Introduction to Protein Informatics4
BIO ENG C145LIntroductory Electronic Transducers Laboratory3
BIO ENG C145MIntroductory Microcomputer Interfacing Laboratory3
BIO ENG 147Principles of Synthetic Biology4
BIO ENG C165Medical Imaging Signals and Systems4
BIO ENG C181The Berkeley Lectures on Energy: Energy from Biomass3
CHM ENG 140Introduction to Chemical Process Analysis4
CHM ENG 141Chemical Engineering Thermodynamics4
CHM ENG C195AThe Berkeley Lectures on Energy: Energy from Biomass3
CHEM C110LGeneral Biochemistry and Molecular Biology Laboratory4
CHEM 120APhysical Chemistry3
CHEM 120BPhysical Chemistry3
CHEM C130Biophysical Chemistry: Physical Principles and the Molecules of Life4
CHEM C138The Berkeley Lectures on Energy: Energy from Biomass3
CY PLAN 101Introduction to Urban Data Analytics4
CY PLAN 118ACThe Urban Community4
CY PLAN 119Planning for Sustainability3
CIV ENG 100Elementary Fluid Mechanics4
CIV ENG 103Introduction to Hydrology3
CIV ENG C106Air Pollution3
CIV ENG C116Chemistry of Soils3
CIV ENG C133Engineering Analysis Using the Finite Element Method3
CIV ENG 155Transportation Systems Engineering3
COG SCI C100Basic Issues in Cognition3
COG SCI C101Cognitive Linguistics4
COG SCI C102Scientific Approaches to Consciousness3
COG SCI C126Perception3
COG SCI C127Cognitive Neuroscience3
COG SCI 131Computational Models of Cognition4
COG SCI C140Quantitative Methods in Linguistics4
COG SCI C147Language Disorders3
COMPSCI C149Course Not Available4
COMPSCI 152Computer Architecture and Engineering4
COMPSCI 160User Interface Design and Development4
COMPSCI 161Computer Security4
COMPSCI 162Operating Systems and System Programming4
COMPSCI 164Programming Languages and Compilers4
COMPSCI 168Introduction to the Internet: Architecture and Protocols4
COMPSCI 169Software Engineering4
COMPSCI 170Efficient Algorithms and Intractable Problems4
COMPSCI 172Computability and Complexity4
COMPSCI 176Algorithms for Computational Biology4
COMPSCI 184Foundations of Computer Graphics4
COMPSCI 186Introduction to Database Systems4
COMPSCI 188Introduction to Artificial Intelligence4
COMPSCI 189Introduction to Machine Learning 44
NOT Compsci C100
DEMOG 110Introduction to Population Analysis3
DEMOG C175Economic Demography4
DEMOG 180Social Networks4
DEMOG 260Special Topics in Demography Seminar1-4
EPS 101Field Geology and Digital Mapping4
EPS C129Biometeorology3
EPS 130Strong Motion Seismology3
EPS C146Geological Oceanography4
EPS C162Planetary Astrophysics4
EPS C180Air Pollution3
EPS C181Atmospheric Physics and Dynamics3
ECON 101AEconomic Theory--Micro4
ECON 101BEconomic Theory--Macro4
ECON C102Natural Resource Economics4
ECON C103Introduction to Mathematical Economics4
ECON 104Advanced Microeconomic Theory4
ECON 119Psychology and Economics4
ECON 121Industrial Organization and Public Policy4
ECON C125Environmental Economics4
ECON 131Public Economics4
ECON 136Financial Economics 54
ECON 138Financial and Behavioral Economics4
ECON 139Intermediate Financial Economics4
ECON 141Econometric Analysis4
ECON C142Applied Econometrics and Public Policy4
ECON 157Health Economics4
ECON C171Economic Development4
ECON 174Global Poverty and Impact Evaluation4
ECON C175Economic Demography3
or ECON N175 Economic Demography
ECON C181International Trade4
ECON 182International Monetary Economics4
EL ENG 100Course Not Available
EL ENG 105Microelectronic Devices and Circuits4
EL ENG C106AIntroduction to Robotics4
EL ENG C106BRobotic Manipulation and Interaction4
EL ENG 113Power Electronics4
EL ENG 117Electromagnetic Fields and Waves4
EL ENG 118Introduction to Optical Engineering3
EL ENG 120Signals and Systems4
EL ENG 121Introduction to Digital Communication Systems4
EL ENG 122Introduction to Communication Networks4
EL ENG 123Digital Signal Processing4
EL ENG 127Course Not Available
EL ENG C128Feedback Control Systems4
EL ENG 129Neural and Nonlinear Information Processing3
EL ENG 130Integrated-Circuit Devices4
EL ENG 134Fundamentals of Photovoltaic Devices4
EL ENG 137AIntroduction to Electric Power Systems4
EL ENG 137BIntroduction to Electric Power Systems4
EL ENG 140Linear Integrated Circuits4
EL ENG 142Integrated Circuits for Communications4
EL ENG 143Microfabrication Technology4
EL ENG 144Fundamental Algorithms for Systems Modeling, Analysis, and Optimization4
EL ENG C145BMedical Imaging Signals and Systems4
EL ENG C145LIntroductory Electronic Transducers Laboratory3
EL ENG C145MIntroductory Microcomputer Interfacing Laboratory3
EL ENG C145OLaboratory in the Mechanics of Organisms3
EL ENG 147Introduction to Microelectromechanical Systems (MEMS)3
EL ENG C149Course Not Available4
ENE,RES C100Energy and Society4
ENE,RES 102Quantitative Aspects of Global Environmental Problems4
ENE,RES 175Water and Development4
ENE,RES C176Climate Change Economics4
ENGIN 115Engineering Thermodynamics4
ENGIN 117Methods of Engineering Analysis3
ENGIN 120Principles of Engineering Economics 53
ENVECON C101Environmental Economics4
ENVECON C102Natural Resource Economics4
ENVECON C115Modeling and Management of Biological Resources4
ENVECON 131Globalization and the Natural Environment3
ENVECON 140ACEconomics of Race, Agriculture, and the Environment3
ENVECON 141Agricultural and Environmental Policy4
ENVECON 142Industrial Organization with Applications to Agriculture and Natural Resources4
ENVECON 143Economics of Innovation and Intellectual Property4
ENVECON 145Health and Environmental Economic Policy4
ENVECON 147Regulation of Energy and the Environment4
ENVECON C151Economic Development4
ENVECON 152Advanced Topics in Development and International Trade3
ENVECON 153Population, Environment, and Development3
ENVECON 154Economics of Poverty and Technology3
ENVECON 161Advanced Topics in Environmental and Resource Economics4
ENVECON 162Economics of Water Resources3
ENVECON C175The Economics of Climate Change4
ENVECON C176Climate Change Economics4
ENVECON C181International Trade4
ENVECON C183Forest Ecosystem Management4
ENV SCI 100Introduction to the Methods of Environmental Science4
ESPM 102ATerrestrial Resource Ecology4
ESPM 102CResource Management4
ESPM 102DClimate and Energy Policy4
ESPM C103Principles of Conservation Biology4
ESPM C104Modeling and Management of Biological Resources4
ESPM C107Biology and Geomorphology of Tropical Islands13
ESPM 108ATrees: Taxonomy, Growth, and Structures3
ESPM 108BEnvironmental Change Genetics3
ESPM 111Ecosystem Ecology4
ESPM 112Microbial Ecology3
ESPM 114Wildlife Ecology3
ESPM 115CFish Ecology3
ESPM 116BRangeland Ecology3
ESPM 116CTropical Forest Ecology3
ESPM 117Urban Garden Ecosystems4
ESPM 118Agricultural Ecology3
ESPM 120Soil Characteristics3
ESPM 121Development and Classification of Soils3
ESPM C126Animal Behavior4
ESPM C128Chemistry of Soils3
ESPM C129Biometeorology3
ESPM 131Soil Microbial Ecology3
ESPM 132Spider Biology4
ESPM C138Introduction to Comparative Virology4
ESPM 140General Entomology4
ESPM 142Insect Behavior3
ESPM 144Insect Physiology3
ESPM C148Pesticide Chemistry and Toxicology3
ESPM C149Molecular Ecology4
ESPM 152Global Change Biology3
ESPM C159Human Diet4
ESPM 165International Rural Development Policy4
ESPM 166Natural Resource Policy and Indigenous Peoples4
ESPM 172Photogrammetry and Remote Sensing3
ESPM 173Introduction to Ecological Data Analysis3
ESPM C177GIS and Environmental Spatial Data Analysis4
ESPM C180Air Pollution3
ESPM 181AFire Ecology3
ESPM 182Forest Operations Management3
ESPM 183Forest Ecosystem Management and Planning4
ESPM C183Forest Ecosystem Management4
ESPM 185Applied Forest Ecology4
ESPM 186Management and Conservation of Rangeland Ecosystems4
ESPM 187Restoration Ecology4
GEOG C139Atmospheric Physics and Dynamics3
GEOG 140APhysical Landscapes: Process and Form4
GEOG 142Climate Dynamics4
GEOG 143Global Change Biogeochemistry3
GEOG C145Geological Oceanography4
GEOG 148Course Not Available4
GEOG 187Geographic Information Analysis4
GEOG C188Geographic Information Systems4
IND ENG 115Industrial and Commercial Data Systems3
IND ENG 130Methods of Manufacturing Improvement3
IND ENG 131Course Not Available
IND ENG 135Applied Data Science with Venture Applications3
IND ENG 142Introduction to Machine Learning and Data Analytics 43
IND ENG 150Production Systems Analysis3
IND ENG 151Service Operations Design and Analysis3
IND ENG 153Logistics Network Design and Supply Chain Management3
IND ENG 160Nonlinear and Discrete Optimization3
IND ENG 162Linear Programming and Network Flows3
IND ENG 166Decision Analytics3
IND ENG 170Industrial Design and Human Factors3
IND ENG 171Technology Firm Leadership3
IND ENG 221Introduction to Financial Engineering3
IND ENG 222Financial Engineering Systems I3
NOT Ind Eng 165, Ind Eng 172 or Ind Eng 173
INFO 159Natural Language Processing3
INFO 188Behind the Data: Humans and Values3
INFO 213User Interface Design and Development4
INFO 232Applied Behavioral Economics for Information Systems3
INFO 247Information Visualization and Presentation4
INFO 253Web Architecture3
INFO 256Applied Natural Language Processing3
INFO 257Database Management3
INFO 271BQuantitative Research Methods for Information Systems and Management3
INFO 272Qualitative Research Methods for Information Systems and Management3
INTEGBI 102LFIntroduction to California Plant Life with Laboratory4
INTEGBI 103LFInvertebrate Zoology with Laboratory5
INTEGBI 104LFNatural History of the Vertebrates with Laboratory5
INTEGBI 106APhysical and Chemical Environment of the Ocean4
INTEGBI C107LPrinciples of Plant Morphology with Laboratory4
INTEGBI C109Evolution and Ecology of Development3
INTEGBI C110LBiology of Fungi with Laboratory4
INTEGBI 113LPaleobiological Perspectives on Ecology and Evolution4
INTEGBI 115Introduction to Systems in Biology and Medicine4
Medical Ethnobotany
and Medical Ethnobotany Laboratory
INTEGBI 118Host-Microbe Interactions4
INTEGBI 119Evaluating Scientific Evidence in Medicine3
INTEGBI 123ALExercise and Environmental Physiology with Laboratory5
INTEGBI C125LIntroduction to the Biomechanical Analysis of Human Movement4
INTEGBI 128Sports Medicine3
INTEGBI C129LHuman Physiological Assessment3
INTEGBI 131General Human Anatomy3
INTEGBI 132Survey of Human Physiology4
INTEGBI 135The Mechanics of Organisms4
INTEGBI C135LLaboratory in the Mechanics of Organisms3
INTEGBI 137Human Endocrinology4
INTEGBI 138Comparative Endocrinology4
INTEGBI 139The Neurobiology of Stress4
INTEGBI 140Biology of Human Reproduction4
INTEGBI C142LIntroduction to Human Osteology6
INTEGBI C143ABiological Clocks: Physiology and Behavior3
INTEGBI C143BHormones and Behavior3
INTEGBI C144Animal Behavior4
INTEGBI 146LFBehavioral Ecology with Laboratory5
INTEGBI 148Comparative Animal Physiology3
INTEGBI C149Molecular Ecology4
INTEGBI 151Plant Physiological Ecology4
INTEGBI 152Environmental Toxicology4
INTEGBI 153Ecology3
INTEGBI 154Plant Ecology3
INTEGBI C155Holocene Paleoecology: How Humans Changed the Earth3
INTEGBI C156Principles of Conservation Biology4
INTEGBI 157LFEcosystems of California4
INTEGBI 158LFBiology and Geomorphology of Tropical Islands13
INTEGBI 160Evolution4
INTEGBI 161Population and Evolutionary Genetics4
INTEGBI 162Ecological Genetics4
INTEGBI 164Human Genetics and Genomics4
INTEGBI 166Course Not Available
INTEGBI 168LSystematics of Vascular Plants with Laboratory4
INTEGBI 169Evolutionary Medicine4
INTEGBI 173LFMammalogy with Laboratory5
INTEGBI 174LFOrnithology with Laboratory4
INTEGBI 175LFHerpetology with Laboratory4
INTEGBI 181LPaleobotany - The 500-Million Year History of a Greening Planet4
INTEGBI 183LEvolution of the Vertebrates with Laboratory4
INTEGBI 184LMorphology of the Vertebrate Skeleton with Laboratory4
INTEGBI C185LHuman Paleontology5
INTEGBI C187Human Biogeography of the Pacific3
IAS C175The Economics of Climate Change4
IAS C176Climate Change Economics4
LD ARCH 122Hydrology for Planners4
LD ARCH C177GIS and Environmental Spatial Data Analysis4
LD ARCH C188Geographic Information Systems4
L & S C180UWealth and Poverty4
LINGUIS 100Introduction to Linguistic Science4
LINGUIS C105Cognitive Linguistics4
LINGUIS 110Phonetics4
LINGUIS 113Experimental Phonetics3
LINGUIS 140Field Methods3
LINGUIS C146Language Acquisition3
LINGUIS C147Language Disorders3
LINGUIS C160Quantitative Methods in Linguistics4
MATH C103Introduction to Mathematical Economics4
MATH 104Introduction to Analysis4
MATH H104Honors Introduction to Analysis4
MATH 105Second Course in Analysis4
MATH 110Linear Algebra 64
MATH H110Honors Linear Algebra 64
MATH 113Introduction to Abstract Algebra4
MATH H113Honors Introduction to Abstract Algebra4
MATH 114Second Course in Abstract Algebra4
MATH 115Introduction to Number Theory4
MATH 116Cryptography4
MATH 118Fourier Analysis, Wavelets, and Signal Processing4
MATH 121AMathematical Tools for the Physical Sciences4
MATH 121BMathematical Tools for the Physical Sciences4
MATH 123Ordinary Differential Equations4
MATH 125AMathematical Logic4
MATH 126Introduction to Partial Differential Equations4
MATH 127Mathematical and Computational Methods in Molecular Biology4
MATH 128ANumerical Analysis4
MATH 128BNumerical Analysis4
MATH 130The Classical Geometries4
MATH 135Introduction to the Theory of Sets4
MATH 136Incompleteness and Undecidability4
MATH 140Metric Differential Geometry4
MATH 141Elementary Differential Topology4
MATH 142Elementary Algebraic Topology4
MATH 143Elementary Algebraic Geometry4
MATH 170Mathematical Methods for Optimization 74
MATH 172Combinatorics4
MATH 185Introduction to Complex Analysis4
MATH H185Honors Introduction to Complex Analysis4
MATH 189Mathematical Methods in Classical and Quantum Mechanics4
MEC ENG 101Introduction to Lean Manufacturing Systems3
MEC ENG 102AIntroduction to Mechanical Systems for Mechatronics4
MEC ENG 102BMechatronics Design4
MEC ENG 104Engineering Mechanics II3
MEC ENG 106Fluid Mechanics3
MEC ENG 107Mechanical Engineering Laboratory3
MEC ENG 108Mechanical Behavior of Engineering Materials4
MEC ENG 109Heat Transfer3
MEC ENG 110Introduction to Product Development3
MEC ENG C115Molecular Biomechanics and Mechanobiology of the Cell4
MEC ENG C117Structural Aspects of Biomaterials4
MEC ENG 118Introduction to Nanotechnology and Nanoscience3
MEC ENG 119Introduction to MEMS (Microelectromechanical Systems)3
MEC ENG 120Computational Biomechanics Across Multiple Scales3
MEC ENG 122Processing of Materials in Manufacturing3
MEC ENG 130Design of Planar Machinery3
MEC ENG 131Vehicle Dynamics and Control3
MEC ENG 132Dynamic Systems and Feedback3
MEC ENG 133Mechanical Vibrations3
MEC ENG C134Feedback Control Systems4
MEC ENG 135Design of Microprocessor-Based Mechanical Systems4
MEC ENG 138Introduction to Micro/Nano Mechanical Systems Laboratory3
MEC ENG 140Combustion Processes3
MEC ENG 146Energy Conversion Principles3
MEC ENG 150ASolar-Powered Vehicles: Analysis, Design and Fabrication3
MEC ENG 151Advanced Heat Transfer3
MEC ENG 163Engineering Aerodynamics3
MEC ENG 164Marine Statics and Structures3
MEC ENG 165Ocean-Environment Mechanics3
MEC ENG 167Microscale Fluid Mechanics3
MEC ENG 168Mechanics of Offshore Systems3
MEC ENG 170Engineering Mechanics III3
MEC ENG 173Fundamentals of Acoustics3
MEC ENG 175Intermediate Dynamics3
MEC ENG C176Orthopedic Biomechanics4
MEC ENG C178Designing for the Human Body3
MEC ENG C180Engineering Analysis Using the Finite Element Method3
MEC ENG 185Introduction to Continuum Mechanics3
MCELLBI 100BBiochemistry: Pathways, Mechanisms, and Regulation4
MCELLBI C100ABiophysical Chemistry: Physical Principles and the Molecules of Life4
MCELLBI 102Survey of the Principles of Biochemistry and Molecular Biology4
MCELLBI C103Bacterial Pathogenesis3
MCELLBI 104Genetics, Genomics, and Cell Biology4
MCELLBI 110Molecular Biology: Macromolecular Synthesis and Cellular Function4
MCELLBI C110LGeneral Biochemistry and Molecular Biology Laboratory4
MCELLBI C112General Microbiology4
MCELLBI C114Introduction to Comparative Virology4
MCELLBI C116Microbial Diversity3
MCELLBI 130Cell and Systems Biology4
MCELLBI 132Biology of Human Cancer4
MCELLBI 133LPhysiology and Cell Biology Laboratory4
MCELLBI C134Chromosome Biology/Cytogenetics3
MCELLBI 135ATopics in Cell and Developmental Biology: Molecular Endocrinology3
MCELLBI 136Physiology4
MCELLBI 137LPhysical Biology of the Cell3
MCELLBI 140General Genetics4
MCELLBI 140LGenetics Laboratory4
MCELLBI 141Developmental Biology4
MCELLBI 143Evolution of Genomes, Cells, and Development3
MCELLBI C148Microbial Genomics and Genetics4
MCELLBI 149The Human Genome3
MCELLBI 150Molecular Immunology4
MCELLBI 150LImmunology Laboratory4
MCELLBI 160Cellular and Molecular Neurobiology4
MCELLBI 160LNeurobiology Laboratory4
MCELLBI 161Circuit, Systems and Behavioral Neuroscience4
MCELLBI 163LMammalian Neuroanatomy Lab4
MCELLBI 165Neurobiology of Disease3
MCELLBI 166Biophysical Neurobiology3
MUSIC 108Music Perception and Cognition4
MUSIC 108MMusic Perception and Cognition4
MUSIC 109Music Cognition: The Mind Behind the Musical Ear3
MUSIC 109MMusic Cognition: The Mind Behind the Musical Ear3
NEUROSC C129Course Not Available3
NUC ENG 100Introduction to Nuclear Engineering3
NUC ENG 130Analytical Methods for Non-proliferation4
NUC ENG 175Methods of Risk Analysis3
NUSCTX 103Nutrient Function and Metabolism3
NUSCTX 110Toxicology4
NUSCTX C114Pesticide Chemistry and Toxicology3
NUSCTX 121Computational Toxicology3
NUSCTX C159Human Diet4
PHILOS 128Philosophy of Science4
PHILOS 140AIntermediate Logic4
PHILOS 140BIntermediate Logic4
PHILOS 142Philosophical Logic4
PHILOS 143Modal Logic4
PHILOS 146Philosophy of Mathematics4
PHYS ED C129Human Physiological Assessment3
PHYS ED C165Introduction to the Biomechanical Analysis of Human Movement4
PHYSICS 105Analytic Mechanics4
PHYSICS 110AElectromagnetism and Optics4
PHYSICS 110BElectromagnetism and Optics4
PHYSICS 111AInstrumentation Laboratory3
PHYSICS 111BAdvanced Experimentation Laboratory (only when taken for 3 units)3
PHYSICS 112Introduction to Statistical and Thermal Physics4
PHYSICS 129Particle Physics4
PHYSICS 130Quantum and Nonlinear Optics3
PHYSICS 137AQuantum Mechanics4
PHYSICS 137BQuantum Mechanics4
PHYSICS 138Modern Atomic Physics3
PHYSICS 139Special Relativity and General Relativity3
PHYSICS 141ASolid State Physics4
PHYSICS 141BSolid State Physics3
PHYSICS 142Introduction to Plasma Physics4
PHYSICS 151Elective Physics: Special Topics3
PHYSICS C161Relativistic Astrophysics and Cosmology4
PHYSICS 177Principles of Molecular Biophysics3
PLANTBI 101LExperimental Plant Biology Laboratory3
PLANTBI C103Bacterial Pathogenesis3
PLANTBI C107LPrinciples of Plant Morphology with Laboratory4
PLANTBI C109Evolution and Ecology of Development3
PLANTBI C110LBiology of Fungi with Laboratory4
PLANTBI C112General Microbiology4
PLANTBI 113California Mushrooms3
PLANTBI C114Introduction to Comparative Virology4
PLANTBI C116Microbial Diversity3
Biology of Algae
and Laboratory for Biology of Algae
PLANTBI C124The Berkeley Lectures on Energy: Energy from Biomass3
PLANTBI C134Chromosome Biology/Cytogenetics3
PLANTBI 135Physiology and Biochemistry of Plants3
PLANTBI C148Microbial Genomics and Genetics4
PLANTBI 150Plant Cell Biology3
PLANTBI 160Plant Molecular Genetics3
PLANTBI 165Plant-Microbe Interactions3
PLANTBI 185Techniques in Light Microscopy3
PLANTBI 190Special Topics in Plant and Microbial Biology (only when taken for 3-4 units)3-4
POL SCI C131AApplied Econometrics and Public Policy4
POL SCI 133Selected Topics in Quantitative Methods4
PSYCH 110Introduction to Biological Psychology3
PSYCH C113Biological Clocks: Physiology and Behavior3
PSYCH 114Biology of Learning3
PSYCH C116Hormones and Behavior3
PSYCH 117Human Neuropsychology3
PSYCH C120Basic Issues in Cognition3
PSYCH 121Animal Cognition3
PSYCH 122Introduction to Human Learning and Memory3
PSYCH 125The Developing Brain3
PSYCH C126Perception3
PSYCH C127Cognitive Neuroscience3
PSYCH C129Scientific Approaches to Consciousness3
PSYCH 130Clinical Psychology3
PSYCH 131Developmental Psychopathology3
PSYCH 133Psychology of Sleep3
PSYCH 140Developmental Psychology3
PSYCH 141Development During Infancy3
PSYCH C143Language Acquisition3
PSYCH 150Psychology of Personality3
PSYCH 164Social Cognition3
PB HLTH C102Bacterial Pathogenesis3
PB HLTH 112Global Health: A Multidisciplinary Examination4
PB HLTH 126Health Economics and Public Policy3
PB HLTH C129Course Not Available
PB HLTH 150AIntroduction to Epidemiology and Human Disease4
PB HLTH 150BIntroduction to Environmental Health Sciences3
PB HLTH 162APublic Health Microbiology3
PB HLTH 170BCourse Not Available3
PB HLTH 250AEpidemiologic Methods I3
PB HLTH 252BModeling the Dynamics of Infectious Disease Processes (only when taken for 3-4 units)3-4
NOT Pb Hlth 141, 142, 142AB, W142, or 145
PUB POL 101Introduction to Public Policy Analysis4
PUB POL C103Wealth and Poverty4
PUB POL C142Applied Econometrics and Public Policy4
PUB POL C184Energy and Society4
RHETOR 107Rhetoric of Scientific Discourse4
RHETOR 170Rhetoric of Social Science4
SOCIOL 105Research Design and Sociological Methods5
SOCIOL 106Quantitative Sociological Methods4
SOCIOL 108Advanced Methods: In-depth Interviewing4
UGBA 101AMicroeconomic Analysis for Business Decisions3
UGBA 101BMacroeconomic Analysis for Business Decisions3
UGBA 102AIntroduction to Financial Accounting3
UGBA 102BIntroduction to Managerial Accounting3
UGBA 103Introduction to Finance 54
UGBA 106Marketing 53
UGBA 118International Trade3
UGBA 119Leading Strategy Implementation3
UGBA 120AAIntermediate Financial Accounting 14
UGBA 120ABIntermediate Financial Accounting 24
UGBA 120BAdvanced Financial Accounting4
UGBA 122Financial Information Analysis4
UGBA 126Auditing4
UGBA 131Corporate Finance and Financial Statement Analysis3
UGBA 132Financial Institutions and Markets3
UGBA 133Investments3
UGBA 136FBehavioral Finance3
UGBA 141Production and Operations Management3
UGBA 160Consumer Behavior3
UGBA 161Marketing Research: Data and Analytics3
UGBA 162Brand Management and Strategy3
UGBA 165Advertising Strategy3
UGBA 169Pricing3
UGBA 180Introduction to Real Estate and Urban Land Economics3
UGBA 183Introduction to Real Estate Finance3
UGBA 184Urban and Real Estate Economics3

Students who have completed any of the math prerequisites at a non-UC institution should look at the Statistics Major Frequently Asked Questions on the Statistics Department website.


No more than one course repeated between STAT 134 (or STAT 140) and STAT 135.


Other non-statistics UC Berkeley courses, such as IND ENG 172, cannot be used to fulfill this requirement.


Due to overlap of course content, only one course from STAT 154, COMPSCI 189 and IND ENG 142 can be used to satisfy Statistics major requirements.


Due to overlap of course content, only one course from ECON 136, ENGIN 120 and UGBA 103 can be used to satisfy Statistics major requirements.


If MATH 110 or MATH H110 has been used to satisfy the math prerequisite requirement, course cannot be used for the applied cluster.


MATH 170 cannot be combined with either IND ENG 160 or IND ENG 162.

Minor Requirements

Students who have a strong interest in an area of study outside their major often decide to complete a minor program. These programs have set requirements and are noted officially on the transcript in the memoranda section, but they are not noted on diplomas.

General Guidelines

  1. All courses taken to fulfill the minor requirements below must be taken for graded credit.
  2. A minimum of three of the upper division courses taken to fulfill the minor requirements must be completed at UC Berkeley.
  3. A minimum grade point average (GPA) of 2.0 is required for courses used to fulfill the minor requirements.
  4. Courses used to fulfill the minor requirements may be applied toward the Seven-Course Breadth requirement, for Letters & Science students.
  5. No more than one upper division course may be used to simultaneously fulfill requirements for a student's major and minor programs.
  6. All minor requirements must be completed prior to the last day of finals during the semester in which the student plans to graduate. Students who cannot finish all courses required for the minor by that time should see a College of Letters & Science adviser.
  7. All minor requirements must be completed within the unit ceiling. (For further information regarding the unit ceiling, please see the College Requirements tab.)


Lower Division Prerequisites
MATH 1ACalculus4
MATH 1BCalculus4
MATH 53Multivariable Calculus4
MATH 54Linear Algebra and Differential Equations4
Upper Division Requirements
STAT 134Concepts of Probability4
or STAT 140 Probability for Data Science
STAT 135Concepts of Statistics4
Select three statistics electives from the following; at least one of the selections must have a lab:
STAT 150Stochastic Processes3
STAT 151ALinear Modelling: Theory and Applications (LAB COURSE)4
STAT 152Sampling Surveys (LAB COURSE)4
STAT 153Introduction to Time Series (LAB COURSE)4
STAT 154Modern Statistical Prediction and Machine Learning (LAB COURSE)4
STAT 155Game Theory3
STAT 157Seminar on Topics in Probability and Statistics3
STAT 158The Design and Analysis of Experiments (LAB COURSE)4
STAT 159Reproducible and Collaborative Statistical Data Science (LAB COURSE)4

College Requirements

Undergraduate students must fulfill the following requirements in addition to those required by their major program.

For detailed lists of courses that fulfill college requirements, please review the College of Letters & Sciences page in this Guide. For College advising appointments, please visit the L&S Advising Pages. 

University of California Requirements

Entry Level Writing

All students who will enter the University of California as freshmen must demonstrate their command of the English language by fulfilling the Entry Level Writing requirement. Fulfillment of this requirement is also a prerequisite to enrollment in all reading and composition courses at UC Berkeley. 

American History and American Institutions

The American History and Institutions requirements are based on the principle that a US resident graduated from an American university, should have an understanding of the history and governmental institutions of the United States.

Berkeley Campus Requirement

American Cultures

All undergraduate students at Cal need to take and pass this course in order to graduate. The requirement offers an exciting intellectual environment centered on the study of race, ethnicity and culture of the United States. AC courses offer students opportunities to be part of research-led, highly accomplished teaching environments, grappling with the complexity of American Culture.

College of Letters & Science Essential Skills Requirements

Quantitative Reasoning

The Quantitative Reasoning requirement is designed to ensure that students graduate with basic understanding and competency in math, statistics, or computer science. The requirement may be satisfied by exam or by taking an approved course.

Foreign Language

The Foreign Language requirement may be satisfied by demonstrating proficiency in reading comprehension, writing, and conversation in a foreign language equivalent to the second semester college level, either by passing an exam or by completing approved course work.

Reading and Composition

In order to provide a solid foundation in reading, writing, and critical thinking the College requires two semesters of lower division work in composition in sequence. Students must complete parts A & B reading and composition courses by the end of their second semester and a second-level course by the end of their fourth semester.

College of Letters & Science 7 Course Breadth Requirements

Breadth Requirements

The undergraduate breadth requirements provide Berkeley students with a rich and varied educational experience outside of their major program. As the foundation of a liberal arts education, breadth courses give students a view into the intellectual life of the University while introducing them to a multitude of perspectives and approaches to research and scholarship. Engaging students in new disciplines and with peers from other majors, the breadth experience strengthens interdisciplinary connections and context that prepares Berkeley graduates to understand and solve the complex issues of their day.

Unit Requirements

  • 120 total units

  • Of the 120 units, 36 must be upper division units

  • Of the 36 upper division units, 6 must be taken in courses offered outside your major department
Residence Requirements

For units to be considered in "residence," you must be registered in courses on the Berkeley campus as a student in the College of Letters & Science. Most students automatically fulfill the residence requirement by attending classes here for four years. In general, there is no need to be concerned about this requirement, unless you go abroad for a semester or year or want to take courses at another institution or through UC Extension during your senior year. In these cases, you should make an appointment to meet an adviser to determine how you can meet the Senior Residence Requirement.

Note: Courses taken through UC Extension do not count toward residence.

Senior Residence Requirement

After you become a senior (with 90 semester units earned toward your BA degree), you must complete at least 24 of the remaining 30 units in residence in at least two semesters. To count as residence, a semester must consist of at least 6 passed units. Intercampus Visitor, EAP, and UC Berkeley-Washington Program (UCDC) units are excluded.

You may use a Berkeley Summer Session to satisfy one semester of the Senior Residence requirement, provided that you successfully complete 6 units of course work in the Summer Session and that you have been enrolled previously in the college.

Modified Senior Residence Requirement

Participants in the UC Education Abroad Program (EAP), Berkeley Summer Abroad, or the UC Berkeley Washington Program (UCDC) may meet a Modified Senior Residence requirement by completing 24 (excluding EAP) of their final 60 semester units in residence. At least 12 of these 24 units must be completed after you have completed 90 units.

Upper Division Residence Requirement

You must complete in residence a minimum of 18 units of upper division courses (excluding UCEAP units), 12 of which must satisfy the requirements for your major.

Student Learning Goals


Statisticians help to design data collection plans, analyze data appropriately, and interpret and draw conclusions from those analyses. The central objective of the undergraduate major in Statistics is to equip students with consequently requisite quantitative skills that they can employ and build on in flexible ways.

Learning Goals for the Major

Majors are expected to learn concepts and tools for working with data and have experience in analyzing real data that goes beyond the content of a service course in statistical methods for non-majors. Majors should understand the following:

  1. The fundamentals of probability theory
  2. Statistical reasoning and inferential methods
  3. Statistical computing
  4. Statistical modeling and its limitations 


Graduates should also have skills in the following:

  1. Description, interpretation, and exploratory analysis of data by graphical and other means
  2. Effective communication



Faculty and Instructors

+ Indicates this faculty member is the recipient of the Distinguished Teaching Award.


David Aldous, Professor. Mathematical probability, applied probability, analysis of algorithms, phylogenetic trees, complex networks, random networks, entropy, spatial networks.
Research Profile

Peter L. Bartlett, Professor. Statistics, machine learning, statistical learning theory, adaptive control.
Research Profile

David R. Brillinger, Professor. Risk analysis, statistical methods, data analysis, animal and fish motion trajectories, statistical applications in engineering and science, sports statistics.
Research Profile

James Bentley Brown, Assistant Adjunct Professor.

Peng Ding, Assistant Professor.
Research Profile

Sandrine Dudoit, Professor. Genomics, classification, statistical computing, biostatistics, cross-validation, density estimation, genetic mapping, high-throughput sequencing, loss-based estimation, microarray, model selection, multiple hypothesis testing, prediction, RNA-Seq.
Research Profile

Noureddine El Karoui, Associate Professor. Applied statistics, theory and applications of random matrices, large dimensional covariance estimation and properties of covariance matrices, connections with mathematical finance.
Research Profile

Steven N. Evans, Professor. Genetics, random matrices, superprocesses and other measure-valued processes, probability on algebraic structures -particularly local fields, applications of stochastic processes to biodemography, mathematical finance, phylogenetics and historical linguistics.
Research Profile

Will Fithian, Assistant Professor.
Research Profile

Shirshendu Ganguly, Assistant Professor.

Lisa Goldberg, Adjunct Professor.

Adityanand Guntuboyina, Assistant Professor.

Alan Hammond, Associate Professor.

Haiyan Huang, Associate Professor. Applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification.
Research Profile

Nicholas P. Jewell, Professor. AIDS, statistics, epidemiology, infectious diseases, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts.
Research Profile

Michael I. Jordan, Professor. Computer science, artificial intelligence, bioinformatics, statistics, machine learning, electrical engineering, applied statistics, optimization.
Research Profile

Michael J. Klass, Professor. Statistics, mathematics, probability theory, combinatorics independent random variables, iterated logarithm, tail probabilities, functions of sums.
Research Profile

Michael William Mahoney, Associate Adjunct Professor.

Jon Mcauliffe, Associate Adjunct Professor. Bioinformatics, machine learning, nonparametrics, convex optimization, statistical computing, prediction, supervised learning.
Research Profile

Rasmus Nielsen, Professor. Statistical and computational aspects of evolutionary theory and genetics.
Research Profile

+ Deborah Nolan, Professor. Statistics, empirical process, high-dimensional modeling, technology in education.
Research Profile

Christopher Paciorek, Adjunct Professor.

Sam Pimentel, Assistant Professor.

James W. Pitman, Professor. Fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence.
Research Profile

Elizabeth Purdom, Assistant Professor. Computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics.
Research Profile

Jasjeet S. Sekhon, Professor. Program evaluation, statistical and computational methods, causal inference, elections, public opinion, American politics .

Alistair Sinclair, Professor. Algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization.
Research Profile

Yun Song, Associate Professor. Computational biology, population genomics, applied probability and statistics.
Research Profile

Philip B. Stark, Professor. Astrophysics, law, statistics, litigation, causal inference, inverse problems, geophysics, elections, uncertainty quantification, educational technology.
Research Profile

Bernd Sturmfels, Professor. Mathematics, combinatorics, computational algebraic geometry.
Research Profile

Nike Sun, Assistant Professor.
Research Profile

Mark J. Van Der Laan, Professor. Statistics, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies.
Research Profile

Martin Wainwright, Professor. Statistical machine learning, High-dimensional statistics, information theory, Optimization and algorithmss.
Research Profile

Bin Yu, Professor. Neuroscience, remote sensing, networks, statistical machine learning, high-dimensional inference, massive data problems, document summarization.
Research Profile


+ Ani Adhikari, Senior Lecturer SOE.

Fletcher H. Ibser, Lecturer.

Cari Kaufman, Lecturer.

Adam R. Lucas, Lecturer.

Gaston Sanchez Trujillo, Lecturer.

Shobhana Stoyanov, Lecturer.

Visiting Faculty

Merle Behr, Visiting Assistant Professor.

Oscar Madrid Padilla, Visiting Assistant Professor.

Emeritus Faculty

Peter J. Bickel, Professor Emeritus. Statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology.
Research Profile

Ching-Shui Cheng, Professor Emeritus. Statistics, statistical design of experiments, combinatorial problems, efficient experimental design.
Research Profile

Kjell A. Doksum, Professor Emeritus. Statistics, curve estimation, nonparametric regression, correlation curves, survival analysis, semiparametric, nonparametric settings, regression quantiles, analysis of financial data.
Research Profile

Leo Goodman, Professor Emeritus. Sociology, statistics, log-linear models, correspondence analysis models, mathematical demography, categorical data analysis, survey data analysis, logit models, log-bilinear models, association models.
Research Profile

Pressley W. Millar, Professor Emeritus. Statistics, Martingales, Markov processes, Gaussian processes, excursion theory, asymptotic statistical decision theory, nonparametrics, robustness, stochastic procedures, asymptotic minimas theory, bootstrap theory.
Research Profile

Roger A. Purves, Professor Emeritus. Statistics, foundations of probability, measurability.
Research Profile

John A. Rice, Professor Emeritus. Transportation, astronomy, statistics, functional data analysis, time series analysis.
Research Profile

Terence P. Speed, Professor Emeritus. Genomics, statistics, genetics and molecular biology, protein sequences.
Research Profile

Charles J. Stone, Professor Emeritus. Statistical modeling with splines, statistical education.
Research Profile

Kenneth Wachter, Professor Emeritus. Mathematical demography stochastic models, simulation, biodemography, federal statistical system.
Research Profile

Contact Information

Department of Statistics

367 Evans Hall

Phone: 510-642-2781

Fax: 510-642-7892

Visit Department Website

Department Chair

Deborah Nolan, PhD

371 Evans Hall

Undergraduate Program Committee Chair

Will Fithian, PhD

301 Evans Hall

Undergraduate Student Services Adviser & Course and Curriculum Officer

Denise Yee

369 Evans Hall

Phone: 510-643-6131

Undergraduate Student Services Adviser

Majabeen Samadi

367A Evans Hall

Phone: 510-643-2459

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