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Jan 21, 2025
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Courses of Study 2024-2025
Data Science Minor
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Data Science Minor
Offered universitywide, the minor in Data Science equips students from any major with a solid understanding of the conceptual and methodological tools of data-driven discovery. Upon completing the minor, students will be ready to leverage competencies and skills to pursue careers in various fields and professions.
Minor Requirements
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:
- No more than two courses can be concurrently used to meet requirements for a major, though they may be used to satisfy elective requirements.
- 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
Core Computing
Data Analysis
Big Data Ethics, Policy & Society
Data Communication
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 - Business Simulation
- ASTRO 3310 - Planetary Image Processing with MATLAB
- 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 - Special Topics in Ecology and Evolutionary Biology
- BIOMG 4810 - Population Genetics
- BIOMG 4870 - Human Genomics
- BIONB 3300 - Introduction to Computational Neuroscience
- BIONB 4220 - Modeling Behavioral Evolution
- BIONB 4380 - Topics in Computational Methods for Neurobiology and Behavior
- BTRY 4820: Statstical Genomics
- CHEM 4810 - Computational Methods in Chemistry
- COGST 3140 - Computational Psychology
- CRP 4080 - Introduction to Geographic Information Systems (GIS)
- CS 4300 - Language and Information
- CS 4740 - Natural Language Processing
- EAS 3450 - Environmental Geophysics
- ECON 3120 - Applied Econometrics
- ECON 3140 - Econometrics
- ECON 4110 - [Cross Section and Panel Econometrics]
- 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 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
- 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 4742 - Info Theory, Probabilistic Modeling, and Deep Learning with Scientific and Financial Apps
- PLSCS 4110: Applied Remote Sensing and GIS for Resource Inventory and Analysis
- PLSCI 4200 - Geographic Information Systems (GIS): Concepts and Application
- PLSCS 4650: Global Navigation Satellite Systems
- PUBPOL 3120 - Research Design, Practice, and Policy
- PUBPOL 3130 - 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 I
- PUBPOL 4110 - [Pollution, Climate Change, and Health]
- STS 4040 - [Digital Due Process Clinic]
Questions about the minor should be directed to: Julia Aquadro (jra269@cornell.edu), Assistant Director of Undergraduate Advising.
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