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Informatics Data Science Track

From economics to voting, from astronomy to epidemiology, the analysis of massive quantities of relevant data has become a distinguishing feature of modern life. The Informatics / Data Science track is designed to teach students about the alternative ways to analyze, visualize, and reason about enormous quantities of information.

CDC Maps and Graphs of 2014 Ebola Outbreak


Data Science Track Required Courses

       COMPSCI 326: Web Programming

       COMPSCI 345: Databases

       Statistics (Stats 240; ResEcon 212; Psych 240; Soc 212; OIM 240...or other introductory stats course)

       INFO 248: Intro to Data Science  

Data Science Track Elective Course Options (choose 4*)

       COMPSCI 328: Mobile Health Sensing and Monitoring

       JOURNAL 397DJ: Data Driven Storytelling

       OIM 350: Business Intelligence and Analytics

       OIM 454: Advanced Business Analytics

       Marketing 455: Internet Marketing (requires Marketing 301)

       Marketing 497T: Special Topics- Text Mining & Analytics for Marketing and Business Practice (requires Marketing 301)

       PUBHLTH 460: Telling stories with data: statistics, modeling, and visualization

       STATS 501: Methods of Applied Statistics  

       STATS 515: Statistics I (requires MA 233; STATS 240 or equiv.)

       STATS 516: Statistics II (requires STATS 515)

       English 391C: Web Design

       SUSTCOMM 297L: Visual Design

       PUBHLTH 324: Epidemiology

       COMPSCI 365: Digital Forensics (requires CS 230)

       More coming soon!

       *Students may propose an elective

Descriptions for CS Courses.

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