Data Science Minor

The requirements for the minor are as follows:

Two courses in each of the three areas below.

Computing
*COMP 123 - Core Concepts in Computer Science AND
* One of: MATH 112 Introduction to Data Science , COMP 124 - Object-Oriented Programming and Data Structures or COMP 302 - Introduction to Database Management Systems or COMP 365 - Computational Linear Algebra or COMP 440 - Collective Intelligence or COMP 484 - Introduction to Artificial Intelligence , or others as approved by the department.
Statistics
*MATH 155 - Introduction to Statistical Modeling AND
*One of: MATH 253 - Machine Learning or MATH 453 - Survival Analysis or MATH 454 - Bayesian Statistics , or others as approved by the department.
Domain area expertise
* Two courses in a single domain meeting the following criteria: the courses should be focused around a theme (e.g., bioinformatics) and not a broad discipline AND that theme should
one that allows the possibility of data science-related activities, either within the courses themselves or in the student’s future career or further education.
* Pre-approved domain courses are listed below. Proposals for other areas of domain expertise (supported by two courses) will be approved on a case by case basis by the department.

No more than two courses can count toward any other major or minor.
Applied Mathematics and Statistics Majors may not also earn a Data Science Minor.

To ensure a synthesis between coursework in the department and the domain of expertise, all students must complete an integrative essay that either a) discusses an already completed integrative project (a course project, internship, summer research experience, etc), or b) proposes an integrative project in the domain of expertise.

Pre-Approved Domain Courses

Astronomy
PHYS 120 - Astronomical Techniques and
PHYS 440 - Observational Astronomy

Bioinformatics
BIOL 260 - Genetics and COMP 320 - Computational Biology

Computational Linguistics

LING 100 Introduction to Linguistics   and
LING 294   Computational Methods in Linguistics

Data-Driven Journalism
MCST 114 - News Reporting and Writing  and one of the following:
MCST 355 - Advanced Journalism: Electronic
MCST 357 - Advanced Journalism: New Media

Ecology
BIOL 285 - Ecology  and one of the following:
BIOL 342 - Animal Behavior/Ecology
BIOL 344 - Aquatic Ecology
BIOL 345 - Field Botany

Environmental Science and Policy
Two of the following:
ENVI 231 - Environmental Economics and Policy
ENVI 133 - Environmental Science
ENVI 240 - The Earth’s Climate System
ENVI 150 Climate and Society
ENVI 160 - Dynamic Earth and Global Change

Geographic Analytics
GEOG 225 - Introduction to Geographic Information Systems  and one of the following:
GEOG 262 - Metro Analysis
GEOG 362 - Introduction to Remote Sensing
GEOG 364 - GIS and Community Partnerships
GEOG 365 - Urban GIS
GEOG 366 - GIS for Global Urban Environments
GEOG 367 - Environmental Geographic Information Systems (GIS)
GEOG 368 - Health GIS
GEOG 378 - Statistical Research Methods in Geography

Political Analytics
POLI 269 - Empirical Research Methods  and
one of:
POLI 214 - Cyber Politics
POLI 242 Political Economy of Development

Quantitative Economics
Two of the following:
ECON 381 - Introduction to Econometrics
ECON 420 - Applied Dynamic Macroeconomics
ECON 485 - Empirical Finance

Quantitative Public Health
Two of the following:
BIOL 355 - Virology
BIOL 357 - Immunology
GEOG 256 - Medical Geography: The Geography of Health and Health Care
MATH 125 - Epidemiology

Social Processes and Relations
SOCI 269 Social Science Inquiry  and
one of the following:
SOCI 190 Criminal Behavior/Social Control
SOCI 283 Economic Sociology