Computing Options

Number of classes available for computing students.

Degree Requirements
Choose from the following for the Data Science - Computing Option

(courses used to satisfy another requirement of the degree may not be counted as a Data Science Elective)

CS 310: Co-op Work Experience MATH 345: Multivariate Distributions
CS 332: Principles of Operating Systems MATH 388: Intro to Chaos Theory
CS 350: Intro to Computer Systems MATH 391: Numerical Linear Algebra
CS 351: Intro to Cybersecurity MATH 430: Analytical/Comp Neuroscience
CS 356: Intro to Computer Networks MATH 447: Applied Time Series Analysis
CS 357: Fundamentals of Network Security MATH 448: Stochastic Simulation
CS 370: Intro to Artificial Intelligence MATH 461: Statistical Computing with R
CS 375: Machine Learning IS 333: Social Network Analysis
CS 444: Big Data Systems IS 392: Web Mining & Information Retrieval
CS 408: Cryptography and Internet Security FIN 218: Financial Markets and Institutions
MGMT 316: Business Research Methods FIN 310: Data Driven Financial Modeling
MRKT 378: Marketing Analytics FIN 320: Financial Data Analysis with R
MRKT 430: Marketing Research IT 430: Ethical Hacking for System Administrators
FIN 306: Blockchain Technology for Business IT 485: ST Deep Learning in Games
MGMT 416: Artificial Intelligence for Business Decisions