Statistics

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

Beginning Fall 2024, new students are admitted directly into the Statistics major in the College of Computing, Data Science, and Society (CDSS) and will already be declared. Students in other colleges at UC Berkeley interested in the Statistics major should refer to the Statistics Prospective Majors/Minors page and CDSS Frequently Asked Questions.

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 maintained in both upper and lower division courses used to fulfill the major requirements.

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


Prerequisites

Students must earn a minimum 2.0 grade point average in the following prerequisites with no lower than a C in Math 53, Math 54, and Stat 20 / Data C8.
MATH 1ACalculus4
MATH 1BCalculus4
MATH 53Multivariable Calculus4
or MATH H53 Honors Multivariable Calculus
or MATH N53 Multivariable Calculus
or MATH W53 Multivariable Calculus
MATH 54Linear Algebra and Differential Equations4
or MATH H54 Honors Linear Algebra and Differential Equations
or MATH N54 Linear Algebra and Differential Equations
or MATH 56 Linear Algebra
STAT 20Introduction to Probability and Statistics4
or DATA C8 Foundations of Data Science

Upper Division Requirements (Nine Courses)

Core Statistics Courses (3)
STAT 133Concepts in Computing with Data3
or DATA C100 AND STAT 33B Course Not Available
STAT 134Concepts of Probability 14
or DATA C140 Probability for Data Science
or EECS 126 Probability and Random Processes
or MATH 106 Mathematical Probability Theory
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
DATA C102Data, Inference, and Decisions (LAB COURSE)4
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) 24
STAT 155Game Theory 63
STAT 156Causal Inference (LAB COURSE)4
STAT 157Seminar on Topics in Probability and Statistics3
STAT 158Experimental Design (LAB COURSE)4
STAT 159Reproducible and Collaborative Statistical Data Science (LAB COURSE)4
STAT 165Forecasting3
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
or DATA C100 AND STAT 33B Course Not Available
STAT 134Concepts of Probability 14
or DATA C140 Probability for Data Science
or EECS 126 Probability and Random Processes
or MATH 106 Mathematical Probability Theory
STAT 135Concepts of Statistics4
Statistics Electives (2)
Select two of the following; at least one course must include a lab:7-8
DATA C102Data, Inference, and Decisions (LAB COURSE)4
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) 24
STAT 155Game Theory 63
STAT 156Causal Inference (LAB COURSE)4
STAT 157Seminar on Topics in Probability and Statistics3
STAT 158Experimental Design (LAB COURSE)4
STAT 159Reproducible and Collaborative Statistical Data Science (LAB COURSE)4
STAT 165Forecasting3
Teaching Track Cluster (4)
MATH 110Abstract Linear 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 Course Not Available

Cluster Course Information

Two of the best reasons to study statistics are the immense variety of important and exciting real-world questions we can answer through careful data analysis, as well as the broad range of technical fields with close connections to statistics. No major is complete without encountering the fields that interface closely with statistics.  

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 your own Cluster. The courses should have a unifying theme. Picking your own Cluster is a valuable exercise that gives you a chance to explore and refine your interests and to develop a coherent course of study. A pre-approved list has been provided. 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 Faculty Adviser must approve the proposed cluster.

Economics and Business courses are treated as though they are in the same department for purposes of evaluating clusters. The same is true for courses in EE, CS, and EECS. Likewise, courses concerning social and ethical aspects of statistics including CYPLAN 101, INFO 188, PHILOS 121, and DATA C104 / HISTORY C184D / STS C1040 are treated as though they are in the same department even if offered in different departments.

 

Cluster Guidelines
Courses must be: upper division courses, at least 3 units, and must be taken for a letter grade.

Courses with statistics prerequisites are often acceptable. Courses that are similar to Statistics courses are not acceptable. If an approved cluster course has a credit restriction with another approved course, both cannot be used for the applied cluster (refer to the Berkeley Academic Guide for credit restrictions, click on “read more” under the course description).

Content Criteria:
Generally, to be an acceptable cluster course, a course should meet at least one of the following three criteria:

  1. The course centers on questions about ethical data analysis or experimental methodology.

  2. The course is focused on a substantive area of natural sciences or social sciences, and includes a significant quantitative or data analysis component as part of the course requirements.

  3. The course is in a related technical field like mathematics, computer science, engineering, or operations research.

​Sample Clusters

Below is a list of sample clusters for students to consider if they would like an idea of courses to combine for their cluster based on a topic of interest.

  • Economics and Finance: Econ 101A, Econ 101B and UGBA 103
  • Math: Math 110, Math 104, and Math 128B
  • Public Health/Biostatistics graduate school: Math 110, Pb Hlth 150A, and Pb Hlth 150B
  • Public Policy: Pub Policy C103, Pub Pol C142/Econ C142/Pol Sci C131A, and Pb Hlth 126
  • Social and Ethical Aspects of Statistics: CYPLAN 101, INFO 188, and DATA C104 / HISTORY C184D / STS C1040

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 115Introduction to Medical Anthropology4
ANTHRO 121CHistorical Archaeology: Historical Artifact Identification and Analysis4
ANTHRO 127ABioarchaeology: Introduction to Skeletal Biology and Bioarchaeology4
ANTHRO 127BBioarchaeology: Reconstruction of Life in Bioarchaeology4
ANTHRO C129D/INTEGBI C155Course Not Available3
ANTHRO 132AAnalysis of Archaeological Materials: 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 128Astronomy Data Science Laboratory4
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 Body4
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 Sustainability4
CIV ENG 100Elementary Fluid Mechanics4
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 C126Perception3
COG SCI C127Cognitive Neuroscience3
COG SCI 131Computational Models of Cognition4
COG SCI C140Quantitative Methods in Linguistics4
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 169Course Not Available4
COMPSCI 169AIntroduction to Software Engineering4
COMPSCI W169ASoftware Engineering3
COMPSCI 170Efficient Algorithms and Intractable Problems4
COMPSCI 172Computability and Complexity4
COMPSCI 176Algorithms for Computational Biology4
COMPSCI 182Designing, Visualizing and Understanding Deep Neural Networks 24
COMPSCI 184Foundations of Computer Graphics4
COMPSCI 186Introduction to Database Systems4
COMPSCI W186Introduction to Database Systems4
COMPSCI 188Introduction to Artificial Intelligence4
COMPSCI 189Introduction to Machine Learning 24
NOT COMPSCI/DATA/STAT C100
DATA 101Data Engineering4
DATA C104Human Contexts and Ethics of Data - DATA/History/STS4
DATA 144Data Mining and Analytics3
DEMOG 110Introduction to Population Analysis3
DEMOG C126Sex, Death, and Data4
DEMOG C175Economic Demography4
DEMOG 180Social Networks4
DEMOG 260Special Topics in Demography Seminar1-4
DIGHUM 150CDigital Humanities and Text and Language Analysis3
EPS 101Field Geology and Digital Mapping4
EPS 109Computer Simulations with Jupyter Notebooks4
EPS C129Biometeorology3
EPS 130Strong Motion Seismology3
EPS C162Planetary Astrophysics4
EPS C180Air Pollution3
EPS C181Atmosphere, Ocean, and Climate Dynamics3
ECON 101AMicroeconomics (Math Intensive)4
ECON 101BMacroeconomics (Math Intensive)4
ECON C102Natural Resource Economics4
ECON C103Introduction to Mathematical Economics4
ECON 104Advanced Microeconomic Theory4
ECON C110Game Theory in the Social Sciences 64
ECON 119Psychology and Economics4
ECON 121Industrial Organization and Public Policy4
ECON C125Environmental Economics4
ECON 131Public Economics4
ECON 136Financial Economics 44
ECON 138Financial and Behavioral Economics4
ECON 139Asset Pricing and Portfolio Choice4
ECON 141Econometrics (Math Intensive)4
ECON C142Applied Econometrics and Public Policy4
ECON 144Empirical Asset Pricing4
ECON 148Data Science for Economists4
ECON 157Health Economics4
ECON C171Development Economics4
ECON 174Global Poverty and Impact Evaluation4
ECON C175Economic Demography3
or ECON N175 Economic Demography
ECON C181International Trade4
ECON 182International Monetary Economics4
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 Engineering4
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 C128Feedback Control Systems4
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
EECS 127Optimization Models in Engineering4
EECS C106AIntroduction to Robotics4
EECS C106BRobotic Manipulation and Interaction4
ENE,RES C100Energy and Society4
ENE,RES 102Quantitative Aspects of Global Environmental Problems4
ENE,RES 131Data, Environment and Society4
ENE,RES 175Water and Development4
ENE,RES C176Climate Change Economics4
ENGIN 117Methods of Engineering Analysis3
ENGIN 120Principles of Engineering Economics 43
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 147The Economics of the Clean Energy Transition4
ENVECON C151Development Economics4
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
ESPM 100Environmental Problem Solving4
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 116BGrassland and Woodland Ecology4
ESPM 116CTropical Forest Ecology3
ESPM 117Urban Garden Ecosystems4
ESPM 118Agricultural Ecology4
ESPM 120Science of Soils3
ESPM 121Development and Classification of Soils3
ESPM C126Animal Behavior4
ESPM C128Chemistry of Soils3
ESPM C129Biometeorology3
ESPM 131Soil Microbiology and Biogeochemistry3
ESPM 132Spider Biology4
ESPM C138Introduction to Comparative Virology4
ESPM 140General Entomology4
ESPM 142Insect Behavior3
ESPM 144Insect Physiology3
ESPM C148Pesticide Chemistry and Toxicology3
ESPM C149Course Not Available4
ESPM 152Global Change Biology3
ESPM 164GIS and Environmental Science3
ESPM 165International Rural Development Policy4
ESPM 172Remote Sensing of the Environment3
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 186Grassland and Woodland Management and Conservation4
ESPM 187Restoration Ecology4
GEOG C136Terrestrial Hydrology4
GEOG C139Atmosphere, Ocean, and Climate Dynamics3
GEOG 140APhysical Landscapes: Process and Form4
GEOG 142Global Climate Variability and Change4
GEOG 143Global Change Biogeochemistry3
GEOG C145Course Not Available
GEOG 148Course Not Available4
GEOG 187Geographic Information Analysis4
GEOG C188Geographic Information Science4
HISTORY C184DHuman Contexts and Ethics of Data - DATA/History/STS4
IND ENG 115Industrial and Commercial Data Systems3
IND ENG 130Methods of Manufacturing Improvement3
IND ENG 135Applied Data Science with Venture Applications3
IND ENG 142Introduction to Machine Learning and Data Analytics 23
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 Optimization 53
IND ENG 162Linear Programming and Network Flows 53
IND ENG 166Decision Analytics3
IND ENG 170Industrial Design and Human Factors3
IND ENG 221Introduction to Financial Engineering3
IND ENG 222Financial Engineering Systems I3
NOT Ind Eng 165, Ind Eng 171, Ind Eng 172 or Ind Eng 173
INFO 159Natural Language Processing4
INFO 188Behind the Data: Humans and Values3
INFO 213Introduction to User Experience Design4
INFO 247Information Visualization and Presentation4
INFO 256Applied Natural Language Processing3
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 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 117
117LF
Medical Ethnobotany
and Medical Ethnobotany Laboratory
4
INTEGBI 118Organismal Microbiomes and Host-Pathogen Interactions4
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 132Human Physiology4
INTEGBI 134LPractical Genomics4
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 C142LCourse Not Available
INTEGBI C143ABiological Clocks: Physiology and Behavior3
INTEGBI C144Animal Behavior4
INTEGBI 146LFBehavioral Ecology with Laboratory5
INTEGBI 148Comparative Animal Physiology3
INTEGBI 151Plant Physiological Ecology4
INTEGBI 153Course Not Available
INTEGBI 154Plant Ecology3
INTEGBI C156Principles of Conservation Biology4
INTEGBI 157LFEcosystems of California4
INTEGBI 158LFCourse Not Available
INTEGBI 160Course Not Available
INTEGBI 161Population and Evolutionary Genetics4
INTEGBI 162Ecological Genetics4
INTEGBI 164Human Genetics and Genomics4
INTEGBI 166Course Not Available
INTEGBI 168LPlants: Diversity and Evolution4
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 184LMorphology of the Vertebrate Skeleton with Laboratory4
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 Science4
L & S C180UWealth and Poverty4
LEGALST 123Data, Prediction & Law4
LINGUIS 100Introduction to Linguistic Science4
LINGUIS C105Cognitive Linguistics4
LINGUIS 110Phonetics4
LINGUIS 113Experimental Phonetics3
LINGUIS 140Field Methods3
LINGUIS C146Language Acquisition3
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 110Abstract Linear Algebra4
MATH H110Honors Linear Algebra4
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 124Programming for Mathematical Applications4
MATH 125AMathematical Logic4
MATH 126Introduction to Partial Differential Equations4
MATH 127Mathematical and Computational Methods in Molecular Biology4
MATH 128ANumerical Analysis4
MATH 128BNumerical Analysis4
MATH 130Groups and 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 54
MATH 172Combinatorics4
MATH 185Introduction to Complex Analysis4
MATH H185Honors Introduction to Complex Analysis4
MATH 189Mathematical Methods in Classical and Quantum Mechanics4
MATH 221Advanced Matrix Computations4
MEC ENG 101Introduction to Lean Manufacturing Systems3
MEC ENG 102BMechatronics Design4
MEC ENG 104Engineering Mechanics II3
MEC ENG 106Fluid Mechanics3
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 Control4
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 Body4
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 130Course Not Available4
MCELLBI 132Biology of Human Cancer4
MCELLBI 133LPhysiology and Cell Biology Laboratory4
MCELLBI C134Genome Organization and Nuclear Dynamics3
MCELLBI 135ATopics in Cell and Developmental Biology: Molecular Endocrinology3
MCELLBI 136Physiology4
MCELLBI 137LPhysical Biology of the Cell4
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 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
NUC ENG 100Introduction to Nuclear Energy and Technology3
NUC ENG 130Analytical Methods for Non-proliferation3
NUC ENG 175Methods of Risk Analysis3
NUSCTX 103Nutrient Function and Metabolism4
NUSCTX 110Toxicology4
NUSCTX C114Pesticide Chemistry and Toxicology3
NUSCTX 121Computational Toxicology3
PHILOS 121Moral Questions of Data Science4
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 Laboratory4
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
PLANTBI 120
120L
Biology of Algae
and Laboratory for Biology of Algae
4
PLANTBI C124The Berkeley Lectures on Energy: Energy from Biomass3
PLANTBI C134Genome Organization and Nuclear Dynamics3
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
POL SCI C135Game Theory in the Social Sciences 64
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 125The Developing Brain3
PSYCH C126Perception3
PSYCH C127Cognitive Neuroscience3
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 112Global Health: A Multidisciplinary Examination4
PB HLTH 126Health Economics and Public Policy3
PB HLTH 129The Aging Human Brain3
PB HLTH 132Artificial Intelligence for Health and Healthcare3
PB HLTH 150AIntroduction to Epidemiology and Human Disease4
PB HLTH 150BHuman Health and the Environment in a Changing World3
PB HLTH 162APublic Health Microbiology4
PB HLTH 250AEpidemiologic Methods I3
PB HLTH 252BInfectious Disease Modeling (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
STS C104DHuman Contexts and Ethics of Data - DATA/History/STS4
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 102AFinancial Accounting 33
UGBA 102BManagerial Accounting 33
UGBA 103Introduction to Finance 44
UGBA 106Marketing3
UGBA 118International Trade3
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 131ACorporate Strategy and Valuation3
UGBA 132Financial Institutions and Markets3
UGBA 133Investments3
UGBA 134Introduction to Financial Engineering3
UGBA 136FBehavioral Finance3
UGBA 141Production and Operations Management2-3
UGBA 160Customer Insights3
UGBA 161Market Research: Tools and Techniques for Data Collection and Analysis3
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
1

IND ENG 172 cannot be used to fulfill this requirement.

2

Due to overlap of course content, only one course from STAT 154, COMPSCI 182COMPSCI 189, and IND ENG 142 can be used to satisfy Statistics major requirements.

3

Students may use UGBA 102A and/or UGBA 102B for their cluster, but may NOT use UC Berkeley Extension's XB102A nor XB102B since, effective Spring 2014, the Haas School of Business no longer deems them equivalent (see http://www.haas.berkeley.edu/Undergrad/ugbacourses.html).

4

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.

5

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

6

Due to overlap of course content, students may not use STAT 155 and ECON C110 / POL SCI C135 for the major.

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.

General Guidelines

  1. All minors must be declared before the first day of instruction of their Expected Graduation Term (EGT).
  2. All courses taken to fulfill the minor requirements below must be taken for graded credit.
  3. A minimum of three of the upper division courses taken to fulfill the minor requirements must be completed at UC Berkeley.
  4. A minimum grade point average (GPA) of 2.0 is required for courses used to fulfill the minor requirements.
  5. Courses used to fulfill the minor requirements may be applied toward the Seven-Course Breadth requirements.
  6. No more than one upper division course may be used to simultaneously fulfill requirements for a student's major and minor programs.

Requirements

Lower Division Prerequisites
MATH 1ACalculus4
or MATH N1A Calculus
MATH 1BCalculus4
or MATH N1B Calculus
or MATH H1B Honors Calculus
MATH 53Multivariable Calculus4
or MATH H53 Honors Multivariable Calculus
or MATH N53 Multivariable Calculus
or MATH W53 Multivariable Calculus
MATH 54Linear Algebra and Differential Equations4
or MATH H54 Honors Linear Algebra and Differential Equations
or MATH N54 Linear Algebra and Differential Equations
or MATH 56 Linear Algebra
Upper Division Requirements
STAT 134Concepts of Probability4
or DATA C140 Probability for Data Science
or EECS 126 Probability and Random Processes
or MATH 106 Mathematical Probability Theory
STAT 135Concepts of Statistics4
Select three statistics electives from the following; at least one of the selections must have a lab:
DATA C102Data, Inference, and Decisions (LAB COURSE)4
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 156Causal Inference (LAB COURSE)4
STAT 157Seminar on Topics in Probability and Statistics3
STAT 158Experimental Design (LAB COURSE)4
STAT 159Reproducible and Collaborative Statistical Data Science (LAB COURSE)4
STAT 165Forecasting3

College Requirements

Essential Skills

Computational Reasoning

The Computational Reasoning requirement is designed to provide a basic understanding of and competency in concepts such as programming, algorithms, iteration, and data-structures.

Human and Social Dynamics of Data and Technology

The Human and Social Dynamics of Data and Technology requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy.

Statistical Reasoning 

The Statistical Reasoning requirement is designed to provide basic understanding of and competency in the scientific approach to statistical problem solving, including uncertainty, prediction, and estimation.

Reading and Composition

The Reading and Composition requirement is the same as for the College of Letters and Science; it requires two semesters of lower division work in composition in sequence. Students must complete parts A & B reading and composition courses in sequential order by the end of their fourth semester.

To see how to satisfy the R&C requirement, visit the College of Letters and Science Reading and Composition Requirement page.   

Breadth Requirements

The undergraduate breadth requirements are the same for CDSS students as for the College of Letters and Science, with the exception that a second semester foreign language course can be used to satisfy the International Studies breadth. To learn more about the L&S Seven-Course Breadth Requirement, visit the L&S Breadth Requirements page. To learn more about using a foreign language course to satisfy the International Studies breadth, visit the CDSS website page on Satisfying International Studies Breadth with a Foreign Language Course

The undergraduate major programs in computer science, data science, and statistics have transitioned from the College of Letters & Science to CDSS. Students who were admitted in Spring 2024 or earlier have the option of completing either the L&S College Requirements, i.e., the breadth and essential skills requirements, or the CDSS college requirements (above). 

All students must meet CDSS general policy (below). The one exception is with time-to-degree. Students admitted Fall 2022 or earlier are subject to the 130 unit maximum, rather than the 8 semester maximum (5 for transfer students). 

Class Schedule Requirements

  • Minimum units per semester: 12

  • Maximum units per semester: 20.5

Academic (Grade) Requirements

  • Minimum cumulative GPA: 2.0

  • Minimum GPA for one semester: 1.5

Bachelor’s Degree Requirements

  • Minimum total units: 120. Of these 120 units:

    • PE maximum units:  4

    • Special Studies maximum units: 16

    • Maximum 300-499 course units: 6

  • Minimum upper division units: 36

  • Maximum number of semesters: 8 for first-year entrants; 5 for transfer students; summer terms do not count toward the maximum

  • Minimum GPA in upper division and graduate courses identified for the major: 2.0

  • Meet all major requirements

  • Meet all general, curricular, and residence requirements of the University of California and the Berkeley campus

For more information about CDSS requirements, visit student resources and information on the College of Computing, Data Science, and Society website.

Student Learning Goals

Mission

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 

Skills

Graduates should also have skills in the following:

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

Major Map

Major maps are experience maps that help undergraduates plan their Berkeley journey based on intended major or field of interest. Featuring student opportunities and resources from your college and department as well as across campus, each map includes curated suggestions for planning your studies, engaging outside the classroom, and pursuing your career goals in a timeline format.

Use the major map below to explore potential paths and design your own unique undergraduate experience:

View the Statistics Major Map.

Courses

Statistics

Contact Information

Department of Statistics

367 Evans Hall

Phone: 510-642-2781

Fax: 510-642-7892

Visit Department Website

Department Chair

Haiyan Huang

367 Evans Hall

chair-stat@berkeley.edu

Undergraduate Major Advisor & Course and Curriculum Officer

Denise Yee

369 Evans Hall

Phone: 510-643-6131

stat-ugrad@berkeley.edu

Undergraduate Major Advisor & Course and Curriculum Officer

Natalie Poulos

371 Evans Hall

Phone: 510-664-5335

stat-ugrad@berkeley.edu

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