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Major: Bachelor of Arts
MajorOverview
Mission of the Undergraduate Program in Data Science
The undergraduate program in Data Science aims to provide students with an analytical and quantitative foundation for tackling data-driven problems in science, industry, and society. Data science is an interdisciplinary field combining computational and inferential reasoning to extract knowledge or insights from data for use in various applications. It synthesizes the most relevant parts of foundational disciplines to solve particular problems or applications. As more data and new ways of analyzing data become available, our economy, society, and daily life will become even more dependent on our ability to learn from data systematically.
Students pursuing a BA in Data Science with the Social Systems subplan will develop a rigorous understanding of methods and approaches from computer science, statistics, and the social sciences. They will learn to apply technical tools to address substantive problems in that domain. They will develop multiple fluencies in computational methods, broad domain knowledge and applications of social science, and the moral and political frameworks shaping social systems. The BA in Data Science with the Social Systems subplan is an ideal major to prepare students for work in the technology sector and a range of industries that require integrating quantitative thinking with an understanding of human behavior or public policy or for careers in the public and social sectors where data-intensive approaches are prized.
Students pursuing a BA in Data Science with the Artistic and Cultural Analysis subplan will learn to integrate a comprehensive knowledge of Data Science methods and theories alongside core critical thinking and creative skills from humanistic study and artistic practice. They will learn how to apply quantitative and statistical methods to the study of cultural and aesthetic objects; discover how data can change our understanding of history; practice the integration of computation into the creative process; and think critically and philosophically about the role of data in society, culture, and the arts. Students will gain fluency in a broad range of computational and statistical methods and will learn how to apply these skills to a variety of disciplinary domains including philosophy, history, literature, art, and cultural studies. The BA in Data Science with the Artistic and Cultural Analysis subplan will prepare students to work in industries and sectors where a deep knowledge of data science, creative thinking, and critical problem-solving skills are prized.
Requirements
Core Program Requirements
Data Science Core
Computation
Most students should take CS 106A. However, students who have experience with programming but not Python can take CS 193Q instead. Note that DATASCI 112 (the required gateway course) uses Python.
For students with prior experience in Python who successfully complete DATASCI 112 without taking CS 106A, CS 106A can be waived.
Math
MATH 51
Linear Algebra, Multivariable Calculus, and Modern Applications
Data
DATASCI 112
Principles of Data Science
Mathematical Modeling
MATH 104
Applied Matrix Theory
Probability
STATS 117
Introduction to Probability Theory
Statistics
STATS 191
Introduction to Applied Statistics
Optimization
MS&E 111
Introduction to Optimization
MS&E 111DS
Introduction to Optimization: Data Science
MS&E 111X
Introduction to Optimization (Accelerated)
Pre-Approved Substitutions: We recommend all students take the standard courses shown above. However, to provide flexibility, students may use up to two of the following pre-approved substitutions within the Data Science Core without additional approval. Students requesting more than two substitutions must submit the Data Science Requirement Inquiry Form opens in a new tab and obtain approval from the program directors.
Required course: STATS 117 | Approved substitutions: CS 109, MS&E 120, or EE 178
Required course: STATS 191 | Approved substitutions: MS&E 125 or MS&E 226
Advanced Alternatives: Students interested in more advanced alternatives to the standard courses may also choose from the following. Students may take any number of advanced alternatives:
Required course: MATH 51 | Advanced alternatives: MATH 61CM or MATH 61DM
Required course: STATS 117 | Advanced alternative: STATS 118
Required course: STATS 191 | Advanced alternative: STATS 200 or STATS 200Q or STATS 203
Required course: MS&E 111, MS&E 111DS, or MS&E 111X | Advanced alternative: EE 364A
Extended Core
The Extended Core is specific to each version of the data science major and offers additional coursework in the methods and frameworks used in each program's theoretical and applied areas of study.
Students must fulfill the Extended Core that aligns with their subplan.
Extended Core for Social Systems
Data Science for Social Impact
DATASCI 154
Data Science for Social Impact
Causal Inference
DATASCI 161
Causality, Decision Making and Data Science
ECON 102C
Advanced Topics in Econometrics
MS&E 228
Applied Causal Inference with Machine Learning and AI
POLISCI 150C
Causal Inference for Social Science
SOC 258B
Quasi-Experimental Research Design & Analysis
Machine Learning
Ethics
COMM 154
The Politics of Algorithms
CS 120
Introduction to AI Safety
CS 139
Human-Centered AI
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
ETHICSOC 20
Introduction to Moral Philosophy
POLISCI 103
Justice
POLISCI 145B
Governing Artificial Intelligence: Law, Policy, and Institutions
Students who identify another course that explores the intersection between data, technology, and ethics may submit the Data Science Requirement Inquiry Form t opens in a new tabo obtain approval from the program.
Extended Core for Artistic and Cultural Analysis
Thinking and Making with Data
DATASCI 156
Thinking and Making with Data
Machine Learning
Moral Philosophy
ETHICSOC 20
Introduction to Moral Philosophy
Additional Ethics Course
COMM 154
The Politics of Algorithms
CS 120
Introduction to AI Safety
CS 139
Human-Centered AI
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
POLISCI 103
Justice
POLISCI 145B
Governing Artificial Intelligence: Law, Policy, and Institutions
Students who identify another course that explores the intersection between data, technology, and ethics may submit the Data Science Requirement Inquiry Form opens in a new tab to obtain approval from the Program Director.
Writing in the Major (WIM)
Writing in the Major (WIM)
Students must fulfill the WIM requirement that aligns with their subplan.
WIM for Students in Social Systems Subplan
Most students pursuing the Data Science B.A. with the social systems subplan will complete the Data Science Practicum (DATASCI 192A/B), which double-counts to satisfy both the capstone and WIM requirements.
In special instances, students can apply to fulfill the capstone requirement through conducting an independent data science research project under the supervision of a professor (see capstone requirement for more details), in which case they must take DATASCI 120 to satisfy the WIM requirement.
DATASCI 120
Data Narratives
DATASCI 192A
Data Science Practicum I
DATASCI 192B
Data Science Practicum II
WIM for Students in Artistic and Cultural Analysis Subplan
All students pursuing the Artistic and Cultural Analysis subplan must complete the following as their WIM.
DATASCI 120
Data Narratives
Capstone
Capstone
The capstone is a culminating experience completed during senior year. Students must fulfill the capstone requirement that aligns with their subplan. In addition, each student must participate in the final Capstone Showcase in spring of their senior year.
Capstone for Students in Social Systems Subplan
Data Science Practicum
Most students pursuing the Data Science & Social Systems B.A. will complete the Data Science Practicum (DATASCI 192A/B) for their capstone, which double-counts to satisfy both the capstone and WIM requirements.
DATASCI 192A
Data Science Practicum I
DATASCI 192B
Data Science Practicum II
Independent Research Project
In special instances, completing DATASCI 120 and an independent research project in data science could also be considered for the capstone requirement; the project must be pre-approved by the program directors, substantially use techniques from upper-division Data Science coursework, connect to a social issue (typically related to the student’s pathway), and be completed during senior year.
By the final study list deadline of autumn quarter during senior year, students should join the Canvas page for Independent Research Projects.
During autumn quarter of senior year, students should find a professor who agrees to supervise the research project.
By the last day of classes of autumn quarter, students must complete the Proposal to Use Independent Research for Data Science & Social Systems B.A. Capstone form, have it approved by the research advisor, and submit it to the Canvas page for Independent Research Projects. Approval must be obtained from the program directors through this process.
Students should enroll in DATASCI 199 (independent study) for a letter grade with the supervising professor in every quarter until they finish conducting the research and creating the report/poster.
To complete the capstone, the student must submit a final report and approval form signed by their research advisor.
Students who use an independent research project to fulfill the capstone requirement will need to take DATASCI 120 (Data Narratives) to fulfill the WIM requirement. DATASCI 120 complements independent research, and it can be taken before or concurrently with working on the project.
DATASCI 120
Data Narratives
DATASCI 199
Independent Study
Capstone for Students in Artistic and Cultural Analysis Subplan
All students pursuing the Artistic and Cultural Analysis subplan must complete the following as their capstone.
DATASCI 193
Applied Artistic and Cultural Analysis
Subplans
RequiredSocial Systems Subplan
Pathway
The pathway is an opportunity for students to develop specific expertise on a topic they are passionate about and where data science methods and approaches have something compelling to offer. Students must choose one of the following pathways or develop their own, with guidance and approval from the program.
Brains & Behavior
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
ECON 1
Principles of Economics
ECON 40
Introduction to Experimental and Behavioral Economics
POLISCI 1
The Science of Politics
PSYCH 1
Introduction to Psychology
PSYCH 35
Minds and Machines
PSYCH 45
Introduction to Learning and Memory
PSYCH 50
Introduction to Cognitive Neuroscience
SOC 1
Introduction to Sociology
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic.
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 194L
Data Science and the Science of Learning
DATASCI 194N
Data Science for Neuroscience
DATASCI 199
Independent Study
PSYCH 154
Judgment and Decision-Making
PSYCH 163
Neuroscience of Visual Intelligence
PSYCH 209
Neural Network Models of Cognition
PSYCH 236
Mind Reading with Movies and Neuroimaging
PSYCH 251
Experimental Methods
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses from Neuroscience and Cognitive Science.
NBIO 101
Social and Ethical Issues in the Neurosciences
PHIL 167D
Philosophy of Neuroscience
PSYCH 30
Introduction to Perception
PSYCH 45
Introduction to Learning and Memory
PSYCH 90
Introduction to Clinical Psychology: A Neuroscience Perspective
PSYCH 134
Brain and Decision Making
PSYCH 164
Brain decoding
PSYCH 169
Advanced Seminar on Memory
Climate & the Environment
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
EARTHSYS 10
Introduction to Earth Systems
EARTHSYS 101
Energy and the Environment
ECON 1
Principles of Economics
ECON 50
Economic Analysis I
INTNLREL 15N
Earth at a Crossroads: Negotiating the Politics of Global Environmental Governance
POLISCI 1
The Science of Politics
POLISCI 101
Introduction to International Relations
POLISCI 102
American Politics and Policy: In Defense of Democracy
PSYCH 1
Introduction to Psychology
SOC 1
Introduction to Sociology
SOC 103
Human and Planetary Health
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic.
BIO 143H
Quantitative Methods for Marine Ecology and Conservation
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 199
Independent Study
EARTHSYS 106
World Food Economy
EARTHSYS 115
Science for Sustainable Solutions
EARTHSYS 141
Remote Sensing of the Oceans
EARTHSYS 185
Feeding Nine Billion
ECON 177
Environmental Economics: Models, Data, and Policy Design
ECON 185
Data Science for Environmental Business
ESS 136
Modeling Human-Environment Systems
ESS 171
Climate Models and Data
ESS 367
AI for Biodiversity Science and Conservation
INTNLREL 165
Global Environmental Governance: Politics, Institutions, and Change
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
EARTHSYS 106 must be taken for 5 units to count toward the pathway.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses from the following areas:
Energy
Climate
Oceans
Food
Policy
For recommended courses within each area, please see our website.
BIO 125
Environmental Change and Marine Biodiversity
EARTHSYS 103
Understand Energy
EARTHSYS 112
Human Society and Environmental Change
EARTHSYS 134
Environmental Justice: Reflection
EARTHSYS 146A
Atmosphere, Ocean, and Climate Dynamics: The Atmospheric Circulation
EARTHSYS 155
Science of Soils
ECON 133
Energy Market Design and Regulation
ECON 155
Climate change and global inequality
ECON 156
Energy Markets and Policy
EARTHSYS 102
Fundamentals of Renewable Energy Processes
ENERGY 110
Engineering Economics
ENERGY 177A
Engineering and Sustainable Development: Toolkit
ENERGY 177B
Engineering and Sustainable Development: Implementation
ESS 102
Scientific Basis of Climate Change
HUMRTS 224
Climate Displacement, Migration, and Mobility
POLISCI 111
The Politics of Climate Change
PUBLPOL 153
Energy, Clean Innovation & Sustainability
URBANST 132
Concepts and Analytic Skills for the Social Sector
URBANST 164
Sustainable Cities
URBANST 181
Urban Agroecology
Students who take ENERGY 177A/B must enroll for three units each quarter to use these classes toward the pathway.
Economic Opportunity & Inequality
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
ECON 1
Principles of Economics
ECON 11N
Understanding the Welfare System
ECON 30
Progress and Inequality
ECON 40
Introduction to Experimental and Behavioral Economics
ECON 50
Economic Analysis I
POLISCI 1
The Science of Politics
POLISCI 21Q
The Politics of Status, Symbols, and Inequality
POLISCI 101
Introduction to International Relations
POLISCI 102
American Politics and Policy: In Defense of Democracy
POLISCI 114D
Democracy, Development, and the Rule of Law
PSYCH 1
Introduction to Psychology
SOC 1
Introduction to Sociology
SOC 3
America: Unequal
SOC 19N
The Immigrant Experience in Everyday Life
SOC 100
Introduction to Urban Studies
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic.
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 199
Independent Study
EARTHSYS 162
Data for Sustainable Development
EARTHSYS 185
Feeding Nine Billion
ECON 125
Economic Development, Microfinance, and Social Networks
ECON 127
Economics of Health Improvement in Developing Countries
ETHICSOC 151C
Ethical STEM: Race, Justice, and Embodied Practice
SOC 12N
Just Data: Re-Imagining Inequality Research
SOC 156A
The Changing American City
SOC 373
The Quantitative Study of Educational and Social Inequality
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses from the following areas:
Labor Markets, Human Capital & Inequality
Race, Gender, Immigration & Inequality
Policy Options & Inequality Movements
Development Economics & Political Economy
Sustainable Development
For recommended courses within each area, please see our website.
CSRE 112X
Urban Education
CSRE 181
Diversity and Equity Issues in Higher Education
CSRE 149A
The Urban Underclass
ECON 118
Development Economics
ECON 134
Wealth of Nations
ECON 166
International Trade
ECON 144
Family and Society
ENERGY 177A
Engineering and Sustainable Development: Toolkit
ENERGY 177B
Engineering and Sustainable Development: Implementation
ETHICSOC 232T
Philanthropy for Sustainable Development
FEMGEN 173
Gender and Higher Education: National and Global Perspectives
POLISCI 141
Political Economy of Development
POLISCI 147
Comparative Democratic Development
POLISCI 243
Political Economy of Latin America
POLISCI 247G
Governance and Poverty
SOC 175
China's Political Economy
Students who take ENERGY 177A/B must enroll for three units each quarter to use these classes toward the pathway.
Education
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
ECON 1
Principles of Economics
ECON 50
Economic Analysis I
EDUC 101
Introduction to Teaching and Learning
POLISCI 1
The Science of Politics
POLISCI 102
American Politics and Policy: In Defense of Democracy
PSYCH 1
Introduction to Psychology
PSYCH 35
Minds and Machines
PSYCH 45
Introduction to Learning and Memory
SOC 1
Introduction to Sociology
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic.
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 194L
Data Science and the Science of Learning
DATASCI 199
Independent Study
EDUC 281
Technology for Learners
EDUC 303
Educational Opportunity Research Lab
EDUC 473
Empowering Educators via Language Technology
SOC 302A
Introduction to Education Data Science: Data Processing
SOC 373
The Quantitative Study of Educational and Social Inequality
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses from the following areas:
Policy & Context
Race, Ethnicity, Diversity & Inequality
Educational Research Methods
For recommended courses within each area, please see our website.
CSRE 112X
Urban Education
CSRE 181
Diversity and Equity Issues in Higher Education
ECON 146
Economics of Education
EDUC 103B
Race, Ethnicity, and Linguistic Diversity in Classrooms: Sociocultural Theory and Practices
EDUC 115N
How to Learn Mathematics
EDUC 117
Research and Policy on Postsecondary Access
EDUC 142
Foundational Course in Testing
EDUC 144
Re(positioning) Disability: Historical, Cultural, and Social Lenses
ETHICSOC 204
Introduction to Philosophy of Education
FEMGEN 173
Gender and Higher Education: National and Global Perspectives
HISTORY 158C
History of Higher Education in the U.S.
SOC 130
Education and Society
Health Policy
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
ECON 1
Principles of Economics
ECON 28N
The Future of America's Healthcare Policies
ECON 39
Economics and Science of Drug Discovery
ECON 48
Law and Economics of Biomedical Innovation
ECON 50
Economic Analysis I
POLISCI 1
The Science of Politics
POLISCI 102
American Politics and Policy: In Defense of Democracy
PSYCH 1
Introduction to Psychology
SOC 1
Introduction to Sociology
SOC 103
Human and Planetary Health
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 194B
Data Science for Computational Molecular Biology
DATASCI 199
Independent Study
ECON 127
Economics of Health Improvement in Developing Countries
HRP 252
Outcomes Analysis
MED 232
Global Health: Scaling Health Technology Innovations in Low Resource Settings
MS&E 292
Health Policy Modeling
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses from the following areas:
U.S. Healthcare System
Health Disparities & Social Determinants of Health
Global Health
For recommended courses within each area, please see our website.
ECON 122
Economics of Health Equity
ECON 126
Economics of Health and Medical Care
EPI 263
Social Epidemiology
HUMBIO 29
Introduction to Global Health
HUMBIO 114
Global Change and Emerging Infectious Disease
HUMBIO 122
Beyond Health Care: the effects of social policies on health
HUMBIO 123G
Health Care Systems around the World
HUMBIO 124C
Global Child Health
PEDS 150
Advancing Health Equity: Exploring Social Determinants of Health and Multi-sector Solutions
PUBLPOL 122
BioSecurity and Pandemic Resilience
PUBLPOL 156
Health Care Policy and Reform
Language
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
CS 124 is required for all students in this pathway.
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic.
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 194N
Data Science for Neuroscience
DATASCI 199
Independent Study
LINGUIST 150
Language and Society
SYMSYS 195N
Natural Language Processing with Deep Learning
SYMSYS 195T
Natural Language Processing in the Social Sciences
SYMSYS 195L
Methods in Psycholinguistics
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses from the following areas:
Processing & Learning Language
Language & Digital Media
For recommended courses within each area, please see our website.
COMM 120W
The Rise of Digital Culture
COMM 124
Truth, Trust, and Tech
COMM 145
Personality and Digital Media
COMM 154
The Politics of Algorithms
COMM 166
Virtual People
COMM 186W
Media, Technology, and the Body
LINGUIST 130A
Introduction to Semantics and Pragmatics
LINGUIST 145
Introduction to Psycholinguistics
LINGUIST 156
Language, Gender, & Sexuality
PSYCH 80
Introduction to Personality and Affective Science
PSYCH 122
Language Neuroscience Seminar
PSYCH 175
Developmental Science of Social Cognition
Law & Governance
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
ECON 1
Principles of Economics
ECON 40
Introduction to Experimental and Behavioral Economics
ECON 42
Economics of Voting
ECON 50
Economic Analysis I
POLISCI 1
The Science of Politics
POLISCI 29N
Is Privacy Dead? Privacy, Surveillance, and Freedom in the Digital Age
POLISCI 102
American Politics and Policy: In Defense of Democracy
POLISCI 114D
Democracy, Development, and the Rule of Law
PSYCH 1
Introduction to Psychology
SOC 1
Introduction to Sociology
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic.
COMM 138
Deliberative Democracy Practicum: Applying Deliberative Polling
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 199
Independent Study
CS 182
Ethics, Public Policy, and Technological Change
DDRL 191
DDRL Independent Study-Work with Adviser
POLISCI 120B
Campaigns, Voting, Media, and Elections
POLISCI 145B
Governing Artificial Intelligence: Law, Policy, and Institutions
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses from the following areas:
Constitutional Law
Justice & Inequality
Law & Economics
Law & Technology
Political Institutions
Political Economy
Political Behavior
Democratization & Political Change
For recommended courses within each area, please see our website.
AMSTUD 155
American Constitutional History from the Civil War to the War on Poverty
ECON 154
Law and Economics
ETHICSOC 175W
Philosophy of Law: Protest, Punishment, and Racial Justice
HISTORY 57
American Constitutional History
HISTORY 153
Creation of the Constitution
LAWGEN 112N
Law and Inequality
POLISCI 115
Spies, Lies, and Algorithms: The History and Future of American Intelligence
POLISCI 120C
American Political Institutions in Uncertain Times
POLISCI 121L
Racial-Ethnic Politics in US
POLISCI 123D
The Politics of American Courts
POLISCI 124L
The Psychology of Communication About Politics in America
POLISCI 125P
The First Amendment: Freedom of Speech and Press
POLISCI 140P
The Erosion of Democracy
POLISCI 141
Political Economy of Development
POLISCI 147
Comparative Democratic Development
POLISCI 220R
The Presidency
POLISCI 225
Gender and Politics
POLISCI 238T
Designing Democracy: Constitutional Crises, Change, and Continuity
POLISCI 243
Political Economy of Latin America
POLISCI 244A
Authoritarian Politics
POLISCI 244C
Wealth of Nations
POLISCI 244U
Political Culture
POLISCI 247G
Governance and Poverty
PUBLPOL 134
Ethics on the Edge: Business, Non-Profit Organizations, Government, and Individuals
SOC 136
Sociology of Law
SOC 149
The Urban Underclass
SOC 175
China's Political Economy
SOC 179A
Crime and Punishment in America
Media & Democracy
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
ECON 1
Principles of Economics
ECON 47
Media Markets and Social Good
POLISCI 1
The Science of Politics
POLISCI 102
American Politics and Policy: In Defense of Democracy
POLISCI 124L
The Psychology of Communication About Politics in America
PSYCH 1
Introduction to Psychology
PSYCH 35
Minds and Machines
SOC 1
Introduction to Sociology
SOC 126
Introduction to Social Networks
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic.
COMM 122
Trust and Safety
COMM 138
Deliberative Democracy Practicum: Applying Deliberative Polling
COMM 177A
News Frontiers
COMM 177B
Big Local Journalism: a project-based class
COMM 177I
Investigative Watchdog Reporting
COMM 177T
Building News Applications
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 199
Independent Study
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses in Content Production.
COMM 104W
Reporting, Writing, and Understanding the News
COMM 176
Advanced Digital Journalism Production
COMM 177C
Science and Environmental Journalism
COMM 177D
Specialized Writing and Reporting: Narrative Journalism
COMM 177SW
Specialized Writing and Reporting: Sports Journalism
COMM 177Y
Specialized Writing and Reporting: Foreign Correspondence
ECON 132
Persuasive Economic Storytelling
Technology & Society
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
ECON 1
Principles of Economics
ECON 40
Introduction to Experimental and Behavioral Economics
ECON 47
Media Markets and Social Good
ECON 50
Economic Analysis I
POLISCI 1
The Science of Politics
POLISCI 29N
Is Privacy Dead? Privacy, Surveillance, and Freedom in the Digital Age
POLISCI 102
American Politics and Policy: In Defense of Democracy
PSYCH 1
Introduction to Psychology
PSYCH 35
Minds and Machines
SOC 1
Introduction to Sociology
SOC 126
Introduction to Social Networks
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic.
COMM 122
Trust and Safety
COMM 177T
Building News Applications
CS 120
Introduction to AI Safety
CS 139
Human-Centered AI
CS 182
Ethics, Public Policy, and Technological Change
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 199
Independent Study
MS&E 184
The Future of Work: What Will it Mean to Build AI-Augmented Organizations?
MS&E 284
The Future of Work: What Will it Mean to Build AI-Augmented Organizations?
POLISCI 145B
Governing Artificial Intelligence: Law, Policy, and Institutions
POLISCI 294
AI Policy Development: Leveraging Social Science to Ensure Responsible Generative AI
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses from the following areas:
Governance & Politics
Data & Society
Markets & Incentives
Building Better Technologies
For recommended courses within each area, please see our website.
AMSTUD 1B
Media, Culture, and Society
CS 147
Introduction to Human-Computer Interaction Design
COMM 124
Truth, Trust, and Tech
COMM 154
The Politics of Algorithms
COMM 158
Censorship and Propaganda
DESIGN 1
Introduction to Design
DESIGN 121
Introduction to Human Values in Design
ECON 136
Market Design
ENGR 145
Technology Entrepreneurship
MS&E 165
Introduction to Product Management
MS&E 176
Social Entrepreneurship
MS&E 180
Organizations: Theory and Management
MS&E 230
Market Design for Engineers
Urban Systems
Complete seven total courses, at least two from each category (Foundation, Intersection, Context).
Courses must span at least two social science disciplines (communication, economics, political science, psychology, and sociology).
To support students in selecting balanced pathway coursework, students will be required to meet with the data science team to discuss their planned pathway courses and receive final program approval.
Foundation Courses
Foundation Courses introduce students to the social sciences through survey or introductory courses relevant to the pathway.
ECON 1
Principles of Economics
ECON 30
Progress and Inequality
ECON 50
Economic Analysis I
POLISCI 1
The Science of Politics
POLISCI 102
American Politics and Policy: In Defense of Democracy
PSYCH 1
Introduction to Psychology
SOC 1
Introduction to Sociology
SOC 3
America: Unequal
SOC 100
Introduction to Urban Studies
SOC 126
Introduction to Social Networks
Intersection Courses
Intersection Courses give students the opportunity to work with data or apply computational methods within their pathway topic.
DATASCI 120
Data Narratives
DATASCI 192D
Data Science Practicum Design
DATASCI 199
Independent Study
ECON 177
Environmental Economics: Models, Data, and Policy Design
SOC 12N
Just Data: Re-Imagining Inequality Research
SOC 156A
The Changing American City
To use DATASCI 120 toward the pathway, students must submit the Request to use DATASCI 120 for Pathway form and receive program approval.
To use DATASCI 192D toward the pathway, students must complete their capstone project with an organization that aligns with their pathway and receive program approval.
To use DATASCI 199 toward the pathway, students must enroll for at least 2 units and conduct research relevant to the pathway under supervision of a faculty advisor.
To use SOC 156A towards the Intersection course requirement, the student must demonstrate sufficient use of data analysis techniques in their final project for the class and have it approved by the data science program.
Context Courses
Context Courses provide additional knowledge on topics or methods used in this area of study. This pathway covers courses from the following areas:
Cities
Inequality
Contemporary Urban Issues
Environmental Planning
For recommended courses within each area, please see our website.
CEE 41Q
Clean Water Now! Urban Water Conflicts
CEE 173
Urban Water
EARTHSYS 112
Human Society and Environmental Change
EARTHSYS 160
Sustainable Cities
EARTHSYS 181
Urban Agroecology
ECON 144
Family and Society
ECON 155
Climate change and global inequality
EDUC 112
Urban Education
POLISCI 226
Superpower California: The Indispensable State
PUBLPOL 108H
Housing Affordability Crisis in California: Causes, Impacts, and Solutions
PUBLPOL 154
Politics and Policy in California
PUBLPOL 174
The Urban Economy
SOC 149
The Urban Underclass
SOC 156A
The Changing American City
URBANST 103C
Housing Visions
URBANST 141
Gentrification
URBANST 148
Who Owns Your City?: Institutional Real Estate Seminar
URBANST 153
CAPITALS: How Cities Shape Cultures, States, and People
URBANST 169
Race, Ethnicity, and Water in Urban California
Artistic and Cultural Analysis Subplan
Foundation Classes
Upon declaring, students in this subplan will select one of the following four pathways as their primary concentration:
Analysis (applying methods of data science to the study of cultural or artistic objects);
Archive (understanding new data driven methods for storing and accessing the cultural record);
Creation (making and designing artistic objects or visualizations using data);
Critique (applying humanistic methods to critique computational or quantitative objects or processes).
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
Analysis
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
ANTHRO 91
Method and Evidence in Anthropology
COMM 106
Communication Research Methods
COMPLIT 101
What Is Comparative Literature?
ENGLISH 160
Poetry and Poetics
ENGLISH 161
Narrative and Narrative Theory
ILAC 130
Introduction to Iberia: Cultural Perspectives
ILAC 131
Introduction to Latin America: Cultural Perspectives
JAPAN 123
Critical Translation Studies
PHIL 49
Survey of Formal Methods
RELIGST 1
Religion Around the Globe
Archive
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
AFRICAAM 139
Black Geographies
ANTHRO 134D
Introduction to Museum Practice
CHILATST 130
Latinx Geographies: Identity, Memory & Place
CLASSICS 30
Greek Archaeology: The Worlds the Greeks Made
CLASSICS 59
The Archaeological Imagination
HISTORY 95N
Maps in the Modern World
HISTORY 99S
Nine Chinese Things: Global Technological Encounters in the Modern Age
HISTORY 200A
Doing Legal History
HISTORY 200B
Doing Environmental History: Water Justice
HISTORY 200BG
Doing History: Biography as History
HISTORY 200D
Doing the History of Science and Technology
HISTORY 200DE
Doing the History of Death and Disease
HISTORY 200F
Doing Microhistory
HISTORY 200GH
Doing Gender History
HISTORY 200MM
Doing Historical Memory
HISTORY 200Y
Doing Colonial History
PHIL 60
Introduction to Philosophy of Science
Note that any of the Doing History (HISTORY 200) seminars count towards this requirement.
Creation
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
ARTSTUDI 101
Art Practice Foundation 2D
ARTSTUDI 102
Art Practice Foundation 3D/4D
DESIGN 1
Introduction to Design
ENGLISH 90
Fiction Writing
ENGLISH 91
Creative Nonfiction
MUSIC 21
Introduction to Tonal Theory
MUSIC 113
Introduction to Instrumental Composition
TAPS 34
Stage Management Techniques
TAPS 120A
Acting I: Fundamentals of Acting
Critique
Students must complete a total of at least 4 foundation classes for a total of 15-20 units. This must include 2 classes from their chosen pathway and 2 classes that cover 2 of the remaining 3 pathways.
AFRICAAM 176
Introduction to Themes in Black Studies I
ANTHRO 90B
Theory of Cultural and Social Anthropology
ARTHIST 5
Art and Power
CLASSICS 83
The Greeks
COMM 108
Media Processes and Effects
CSRE 100
Introduction to Comparative Studies in Race and Ethnicity
FEMGEN 103
Feminist and Sexuality Studies Theories Across the Disciplines
FILMEDIA 6
Media and Mediums
KOREA 151
The Nature of Knowledge: Science and Literature in East Asia
RELIGST 19Q
Does Religion Divide Us? Legal, Political, and Cultural Perspectives from Across the World
Advanced Classes in Pathway
Students will work with their advisor and the program administration to select 12-16 units of advanced coursework within their chosen pathway:
Analysis (applying methods of data science to the study of cultural or artistic objects);
Archive (understanding new data driven methods for storing and accessing the cultural record).
Creation (making and designing artistic objects or visualizations using data);
Critique (applying humanistic methods to critique computational or quantitative objects or processes);
Given the interdisciplinary nature of the program, students may submit the Data Science Requirement Inquiry Form opens in a new tab to include additional courses not in the lists below towards their advanced class requirements.
Analysis
ANTHRO 98C
Digital Methods in Anthropology
DLCL 122N
Technologies of Handwriting: History, Theory, Practice
DLCL 153
Digitally Disadvantaged Languages Workshop
DLCL 201
Digital Humanities Practicum
ENGLISH 184E
Literary Text Mining
ENGLISH 184F
Literary Text Mining 2: Studies in Cultural Analytics
LINGUIST 180
From Languages to Information
PHIL 20N
Philosophy of Artificial Intelligence
SLAVIC 70N
Socialism vs. Capitalism: Russian and American Writers' Responses
Archive
ANTHRO 198B
Digital Traces
ARCHLGY 117
Virtual Italy
CLASSICS 21N
Did Women Travel? A Digital History
HISTORY 201B
Spatial History: Concepts, Methods, Problems
HISTORY 207F
Capstone: Crafting Digital Stories
Creation
ARTHIST 206B
Audiovision in the Medieval Cult of Saints
ARTSTUDI 209
Moving Image II
ARTSTUDI 261
Individual Work: Experimental Media Arts
ARTSTUDI 163
Drawing with Code
COMM 153D
Ensemble Sonification of Temporal Data
ENGLISH 9CFS
Fire Stories: Narrative in the Digital Age
MUSIC 101
Introduction to Creating Electronic Sounds
MUSIC 220D
Research in Computer-Generated Music
Critique
AFRICAAM 80Q
Race and Gender in Silicon Valley
AMSTUD 120
The Rise of Digital Culture
ARTSTUDI 192
AI Art, Performance, and Aesthetics
CSRE 154T
The Politics of Algorithms
ENGLISH 106A
AI 360: What's Critical to Know about AI
ENGLISH 182
Critical Game Studies: What Video Games Tell Us About Us