Faculty Recruiting Support CICS

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.

Core Requirements:

  • INFO 101:Introduction to Informatics*
  • INFO 150:A Mathematical Foundation of Informatics
  • COMPSCI 121: Problem Solving with Computers
  • COMPSCI 186: Using Data Structures
  • INFO 203: Networked World
  • COMPSCI 325: Human Computer Interaction
  • COMPSCI 326: Web Programming (IE)

*credit given for a score of 4 or 5 on the CSP AP exam

Data Science Concentration Specific Requirements:

  • STAT 240 (or equivalent):  Intro to Statistics
  • INFO 248: Intro to Data Science
  • COMPSCI 345: Practical Applications of Data Management
  • Data Science Concentration Elective (pick one of the following): STAT 501, STAT 515, PUBHLTH 460, JOURNAL 397DJ, OIM 350

Electives

Choose 6 courses* from the preapproved list below and/or propose your own. (posted pre-reqs are waived for informatics majors ONLY for those elective courses that are underlined, although these classes do require "Junior" status. If an elective course in the list below is NOT underlined, posted pre-requisites as listed in Spire are required for that individual class).

BIO 379H: Genomics and Bioinformatics
BIO 383H: Gene and Genome Analysis
CICS 397A - 01 ST-Predictive Analytics/Python
COMPSCI 328: Mobile Health Sensing and Monitoring
COMPSCI 365: Digital Forensics (requires CS 230)
ECON 309: Game Theory
ECON 452: Econometrics
ENGLISH 391C: Web Design
ENGLISH 379, 380, 381, 382: Prof. Writing courses
JOURNAL 397DJ: Data Driven Storytelling
MARKET 413: Social Media and Marketing Analytics
MARKET 455: Internet Marketing
OIM 350: Business Intelligence and Analytics
OIM 454: Advanced Business Analytics
PUBHLTH 460: Telling Stories With Data
PUBHLTH 490Z: Statistical Modeling for Health Data Science
STAT 501: Methods of Applied Stats
STAT 515: Statistics I
STAT 516: Statistics II
SUSTCOMM 297L: Vis. Com. Design Skills and Principles

*courses may only satisfy one major requirement (e.g. an individual course can satisfy a concentration elective or a major elective, not both)

Current proposed Electives that are Pending Final Approval: 

BIOLOGY 597GE ST-EvolutionryGenomics&Bioinfo
COM 497DB: Survey of Digital Behavioral Data
COM 497GP: Special Topics- Internet Governance & Information Policy
COMPSCI 590V: Data Visualization and Exploration
ENGLISH 491DS: Seminar- Data Science for the Humanities
MI-ENG 397DH: Fundamentals of Data Visualization
NRC 585: Intro to Geographic Information Systems
PUBHLTH 490KR Epidemiologic Data Management & Analysis

Descriptions for CS Courses.

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