Data Science Major, BS

The data science program prepares students to be “Big Data” practitioners by learning how to distill new insights from large volumes of data. The program is an interdisciplinary mix of computer science, data science, and mathematics and statistics, plus a domain area (chosen by the student) in which the student can apply his or her computational and statistical skills.

Program Requirements

CS 106 - Introduction to Scientific Computation and Modeling (recommended)
OR CS 108 - Introduction to Computing
CS 112 - Introduction to Data Structures
CS 384 - Perspectives on Computing
DATA 202 - Predictive Analytics
DATA 304 - Visualizing Data and Models
DATA 385 - Topics in Data Science
DATA 396 - Senior Project in Data Science
DATA 398 - Senior Project in Data Science II
MATH 171 - Calculus I
OR MATH 132 - Calculus for Management, Life, and Social Sciences
MATH 172 - Calculus II
OR MATH 255 - Introductory Linear Algebra
STAT 243 - Statistics
OR STAT 343 - Probability and Statistics
STAT 245 - Applied Data Analysis

Take 8 Hours from the Following

Computer Science Electives

CS 212 - Data Structures and Algorithms (recommended)
CS 354 - Database Management Systems
CS 375 - Artificial Intelligence
CS 376 - Machine Learning
CS 374 - High Performance Computing

Take 4 Hours from the Following

Mathematics and Statistics Electives

MATH 355 - Advanced Linear Algebra
STAT 341 - Computational Bayesian Statistics
STAT 343 - Probability and Statistics
STAT 344 - Mathematical Statistics
STAT 385 - Topics in Statistics

Cognate Courses

an additional 12 hours, normally with the same course prefix other than CS, DATA, MATH, or STAT (e.g., BIOL, BUS, GEO, POLS), at least 4 hours of which must be at the 300 level, or with the advisor’s approval.

Data Science Major, BS

Program Requirements

Take 8 Hours from the Following

Take 4 Hours from the Following

Cognate Courses

Total Semester Hours: 64-66