Data Science

Any student may obtain a Multidisciplinary Minor in Data Science by taking the following courses:

Introductory Statistics Course
MA 223Engineering Statistics4
or MA 382 Introduction to Statistics with Probability
Introductory Computer Science Courses
CSSE 120Introduction to Software Development4
CSSE 220Object-Oriented Software Development4
Electives
Select two of the following:8
MA 386
Statistical Programming
MA 384
Data Mining
CSSE 230
Data Structures and Algorithm Analysis
Select a minimum of two additional course from the list below: (See degree separation requirement below.)8
BMTH 312
Bioinformatics
CSSE 313
Artificial Intelligence
CSSE 314
Bio-Inspired Artificial Intelligence
CSSE 315
Natural Language Processing
CSSE 333
Intro to Database Systems
CSSE/MA 415
Machine Learning
CSSE/MA 416
Deep Learning
CSSE 433
Advanced Database Systems
CSSE 434
Introduction to the Hadoop Ecosystem
CSSE 463
Image Recognition
CSSE/MA 335
Introduction to Parallel Computing
ECON S451
Econometrics
MA 384
Data Mining
MA 386
Statistical Programming
MA 482
Biostatistics
MA 483
Bayesian Data Analysis
MA 485
Applied Linear Regression
PH 327
Thermodynamics & Statistical Mechanics

Notes and Limitations on Requirements

Degree Separation Requirement: The Multidisciplinary Minor in Data Science must be separated from any other minor and the named required courses of any major by a minimum of 16 credit hours. Exceptions to this requirement must be approved by the minor advisor for Data Science and the heads of both the Department of Mathematics and the Department of Computer Science and Software Engineering.
Electives not listed above may be substituted with other courses with the approval of the minor advisor for Data Science.


The minor plan of study must be approved by the minor advisor for Data Science and the student’s advisor.