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Data Science and Machine Learning

Course Requirements
Major Academic Plan
Career Paths

Complete all of the following courses:

STAT 201: Statistics for Engineers and Scientists (preferred) OR
STAT 121: Principles of Statistics
CS 235: Data Structures
**CS 474: Deep Learning
Math 522: Methods of Applied Mathematics 2 (Bayesian Networks + Mathematical Theory of Machine Learning)

Complete one of the following courses:

**CS 472: Introduction to Machine Learning
Ling 581: Natural Language Processing
CS 401R: Topics in Computer Science
**CS 580/PHSCS 513R: Theory of Predictive Modeling
CS 674: Advanced Deep Learning

** Please note that MATH 320 and CS 235 will fulfill all pre-requisites for CS 240, CS 472, CS 474, and CS 580. To get an add code for your class, please contact Lynnette Nelson
*** This list will be updated regularly with courses that may fulfill this concentration. If you feel a class may complete one of the required courses, please contact the ACME Committee.

**A double major in this field for Computer Science or Statistics will also be accepted.

Coming soon!

After graduation, students have gone into the both the workforce and graduate programs. The following table shows some of the career paths our graduates have followed:

Job Title

Master's Degree Subject

Business Analyst

Data Analyst

Data Engineer/Scientist

Machine Learning Engineer

Software Engineer

Computer Science