The requirements to complete the minor balance the specific learning outcomes with flexibility and choice, with courses distributed across the participating colleges and disciplines, to ensure students can pragmatically complete the minor along with concurrently meeting major and distribution/elective requirements.
To Complete the Minor
- Six courses are required in total
- One course from the core statistics category. These are restricted to those courses for which a calculus-based understanding of probability can provide understanding in concepts such as maximum likelihood estimation.
- One course from the core computer programming category. This course might be either an introductory programming course or one of a select number of more advanced courses.
- Four courses from the courses listed under the following categories:
- Data Analysis
- Domain Expertise
- Big Data Ethics, Policy and Society
- Data Communication
For the four categories, at least one course should be from each of three different categories, while the fourth can come from any category.
Important Information about Major/Minor Overlaps:
- Students may count a maximum of two courses toward both the Data Science minor and their own major’s core requirements, though they may count other courses they take for the minor toward their major’s elective requirements, provided their department approves.
a. CS MAJORS:
i. You may count a maximum of two courses toward both the Data Science Minor and your CS core courses, CS electives, and/or CS practicum requirements for the CS major.
ii. You may, however, count other courses you take for the Data Science Minor toward your CS technical electives, external specialization, major-approved and/or advisor-approved elective coursework, but only if those courses meet the requirements for that category of elective.
2. Students who are majoring in a subject that requires an introductory programming course (such as CS 1110), must satisfy the “Core Computing” requirement with a more advanced programming course.
Given the overlap of INFO courses in the Data Science Minor and the Data Science Concentration in the Information Science Minor, students cannot declare both.
Data Science Minor Courses by Category
Core Statistics | Core Computing | Data Analysis | Big Data Ethics, Policy & Society | Data Communication | Domain Expertise
Core Statistics
Please note that STSCI/ILRST 2100, AEM 2100, PUBPOL 2100/2101, and STSCI 2150 do not count towards this requirement, as the classes on the approved list have a semester of calculus as a prerequisite. Since some other introductory classes listed below may a forbidden overlap with these courses, if you have already taken STSCI/ILRST 2100, AEM 2100, PUBPOL 2100/2101, and STSCI 2150, you could also take one of the listed probability courses for this category.
ECE 3100: Introduction to Probability and Inference for Random Signals and Systems
ENGRD 2700: Basic Engineering Probability and Statistic
GOVT 4019: Introductory Probability and Applied Statistics
MATH 4710: Basic Probability
ORIE 3500: Engineering Probability and Statistics II
STSCI/BTRY 3080: Probability Models and Inference
STSCI/ECON 3110: Probability Models and Inference for the Social Sciences
ECON 3130: Statistics and Probability
STSCI 2200/BTRY 3010: Biological Statistics I
Core Computing
AEM 2820: Intro to Database Management Systems
AEM 2830: VBA and Python for Business Analytics
AEM 2840: Python for Business Analytics
AEM 2850: R Programming for Business Analytics and Data Visualization
CS 1110: Introduction to Computing: A Design and Development Perspective
CS 1112: Introduction to Computing: An Engineering and Science Perspective
CS 3220: Computational Mathematics for Computer Science
CS 4320: Introduction to Database Systems
HADM 3710: Python Programming
HADM 3740: Fundamentals of Database Management and Data Analysis
ORIE 3120: Practical Tools for Operations Research, Machine Learning and Data Science
STSCI 3040: R Programming for Data Science
STSCI 4060: Python Programming and its Applications in Statistics
STSCI 4520: Statistical Computing
Data Analysis
BEE 4310: Multivariate Statistics for Environmental Applications
AEM 3275: Introduction to Machine Learning in Business
AEM 4120: Computational Methods for Management and Economics
ASTRO 3334: Data Analysis and Research Techniques in Astronomy
ASTRO 3340: Symbolic and Numerical Computing
ASTRO 4523: Modeling, Mining and Machine Learning in Astronomy
CHEME 5660: Financial Data, Markets, and Mayhem for Scientists and Engineers
CS 3780 (previously 4780): Introduction to Machine Learning
CS 4787: Principles of Large Scale Machine Learning
CS 4850: Mathematical Foundations for the Information Age
ECE 4110: Random Signals in Communications and Signal Processing
ECE 4200: Fundamentals of Machine Learning
ECE 4250: Digital Signal and Image Processing
ECON 3120: Applied Econometrics
ENGRD 2720: Data Science for Engineers
HADM 4010: Data Driven Analytics
HADM 4750: Machine Learning for Business and Hospitality Applications
HD 2930: Data Science for Social Scientists 1
HD 2940: Data Science for Social Scientists 2
HD 4760: Quantitative Methods 2
INFO 2950: Introduction to Data Science
INFO 2951: Introduction to Data Science with R
INFO 3300: Data-Driven Web Applications
INFO 3370: Studying Social Inequality using Data Science
INFO 3950: Data Analytics for Information Science
MATH 2310: Linear Algebra for Data Science (MATH 2310 before FA24 semester will not be accepted)
ORIE 3741 (previously 4741): Learning with Big Messy Data
ORIE 4580: Simulation Modeling and Analysis
ORIE 4740: Statistical Data Mining I
ORIE 4820: Spreadsheet-Based Modeling and Data Analysis
PSYCH 4750: Quantitative Methods I
PSYCH 4760: Quantitative Methods II
PUBPOL 3100: Multiple Regression Analysis
STSCI 3200/BTRY: 3020 Biological Statistics II
STSCI 4060: Python Programming and its Applications in Statistics
STSCI/BTRY 4100: Multivariate Analysis
STSCI/BTRY 4110: Categorical Data
STSCI 3740 (previously 4740): Data Mining and Machine Learning
STSCI 4780 Bayesian Data Analysis: Principles and Practice
Big Data Ethics, Policy & Society
ALS 1210: Data Democratization
COMM 4242: The Design & Governance of Field Experiments
DSOC 2120: Data, Tech and Global Development
DSOC 4060: Digital Capitalism
ENGL 3778: Free Speech, Censorship, and the Age of Global Media
ENGRG 3605: Ethics of Computing and Artificial Intelligence Technologies
GOVT 3999: How Do You Know That?
INFO 1200: Information Ethics, Law, and Policy
INFO 1260: Choices and Consequences in Computing
INFO 3200: New Media and Society
INFO 3370: Studying Social Inequality using Data Science
INFO 4240: Designing Technology for Social Impact
INFO 4250: Surveillance and Privacy
INFO 4270: Ethics and Policy in Data Science
INFO 4505: Computing and Global Development
INFO 4561: Stars, Scores, and Rankings: Evaluation and Society
PUBPOL 2070: Big Data for Big Policy Problems
PUBPOL 2130: Data and the State: How Governments See People and Places
PUBPOL 3520: Economic and Policy Implications of Artificial Intelligence
PUBPOL 4230: Gender and Health: Concepts, Data, Theories and Evidence
PUBPOL 4540: Collaborative Modeling Methods for Policy and Program Evaluation
STS 3440: Data Science and Society Lab
STS 3561: Computing Cultures
Data Communication
COMM 3010: Writing and Producing the Narrative for Digital Media
COMM 3150: Organizational Communication: Theory and Practice
COMM 3350: Presenting Informational Visually
COMM 3189: Taking America's Pulse: Creating and Conducting a National Opinion Poll
COMM 4200: Public Opinion and Social Processes
COMM 4360: Communication Networks and Social Capital
COMM 4860: Risk communication
INFO 3312: Data Communication
INFO 3950: Data Analytics for Information Science
INFO 4310: Interactive Information Visualization
SOC 3580: Big Data on the Social World
Domain Expertise
AEM 2770: Excursions in Computational Sustainability
AEM 3100: Business Statistics
AEM 4060: Risk Simulation and Monte Carlo Methods
AEM 4110: Introduction to Econometrics
AEM 4225: Systems and Analytics in Accounting
AEM 4435: Data Driven Marketing
AEM 4620: Advanced Financial Modeling and Analysis
AEM 4660: Market Dynamics, Computer Simulation and Modeling
ASTRO 3310: Planetary Image Processing
BIOCB 4381: Biomedical Data Mining and Modeling
BIOCB 4830: Quantitative Genomics and Genetics
BIOCB 4840: Computational Genetics and Genomics
BIOEE 3550: Data Analysis and Visualization in Ecology and Environmental Science
BIOEE 3611: Field Ecology
BIOEE 3620: Dynamic Models in Biology
BIOEE 4940: Topic: Intro to Quantitative Analysis in Ecology
BIOMG 4810: Population Genetics
BIOMG 4870: Human Genomics
BIONB 3300: Computational Neuroscience
BIONB 4220: Modeling Behavioral Evolution
BIONB 4380: Topics in Computational Methods for Neurobiology & Behavior
BTRY 4820: Statstical Genomics
CHEM 4810: Computational Methods in Chemistry
COGST 3140: Computational Psychology
CRP 4080: Introduction to Geographic Information Systems (GIS)
CS/INFO 4300: Language and Information
CS 4740: Natural Language Processing
DSOC 3140: Spatial Thinking, GIS, and Related Methods
EAS 3450: Ocean Satellite Remote Sensing
ECON 3120: Applied Econometrics
ECON 3140: Econometrics
ECON 4110: Cross Section and Panel Methods
ECON 4660: Behavioral Economics
ENTOM 3030: Applied Statistics: Biological Experiments in Practice
GOVT 3282: Data Science Applications in Political and Social Research
HADM 4050: Revenue Management
HADM 4770: Advanced Business Modeling
INFO 3140: Computational Psychology
INFO 3350: Text Mining History and Literature
INFO 4100: Learning Analytics
INFO 4555: Business Intelligence Systems
ILRHR 4664: Human Resource Analytics
ILROB 4710: Social Science Research Methods
NS 4300: Proteins, Transcripts, and Metabolism: Big Data in Molecular Nutrition
NTRES 3100: Applied Population Ecology
NTRES 3500: Computational Skills for Efficient Data Processing and Analysis
NTRES 4100: Advanced Conservation Biology: Concepts and Techniques
NTRES 4120: Wildlife Population Analysis: Techniques and Models
ORIE 2380: Urban Analytics
ORIE 4120: Inventory, Operations, and Supply Chain Management: Models and Optimization
ORIE 4126: Principles of Supply Chain Management
ORIE 4132: Service systems and online markets
ORIE 4154: Revenue Optimization and Marketplace Design
ORIE 4630: Operations Research Tools for Financial Engineering
ORIE 4656: Extreme Values in Finance
ORIE 4742: Information Theory, Probabilistic Modeling, & Deep Learning with Scientific & Financial Applications
PLSCI 4290: Remote Sensing and Modeling for Ecosystems
PLSCS 4110: Applied Remote Sensing and GIS for Resource Inventory and Analysis
PLSCS 4200: Geographic Information Systems
PLSCS 4650: Global Navigation Satellite Systems
PUBPOL 3120: Research Design, Practice, and Policy
PUBPOL 3130/ECON 3670: Behavioral Economics and Public Policy
PUBPOL 3280: Fundamentals of Population Health
PUBPOL 3400: The Economics of Consumer Policy
PUBPOL 3550: Economics of Education
PUBPOL 3600: Economics of Crime
PUBPOL 3670: Economics and Environmental Policy
PUBPOL 3780: Sick Around the World? Comparing Health Care Systems Around the World
PUBPOL 3850: Applied Demography in Business and Government
PUBPOL 4080: Demographic Techniques
PUBPOL 4101: Causal Reasoning and Policy Evaluation 1
PUBPOL 4110: Pollution, Climate Change, and Health
STS 4040: Digital Due Process Clinic