Use scientific methods to develop data-driven solutions

The Bachelor of Arts in Data Science program offers a curriculum that focuses on developing analytical and technical skills necessary for analyzing massive amounts of data and extracting information from complex data sources.

As a data science major you will learn how to collect and analyze data, how to determine which tools and techniques are best for data collection and how to design programs in a variety of computer languages involving data processes.

Earning a Bachelor’s degree in data science requires taking a common core of courses in computer science, programming, mathematics and software during your first two years. After two years, you will select courses with a more narrow focus based on your interests.

Classes

Coursework

• Computer Science
• Data Structures
• Data Analysis
• Design and Analysis of Algorithms
• Calculus
• Discrete Mathematics
• Linear Algebra with Applications
• Mathematical Modeling

Resources

• Major Requirements
• Schedule of Classes
• Department Website

• Combined bachelor's + master's degree offered

Career Options

Common Career Areas

• Data scientist
• Data engineer
• Data analyst
• Database administrator
• Statistician
• Functional analyst
• Business analyst
• Predictive modeler
• Data architect
• Data governance specialist
• Data visualization specialist
• Computer scientist
• Market analyst

Major Requirements

Course List

Course	Title	Quarter Hours
Select one of the following options:		4-8
Option A
CSC 241 & CSC 242	INTRODUCTION TO COMPUTER SCIENCE I and INTRODUCTION TO COMPUTER SCIENCE II
Option B
CSC 243	PYTHON FOR PROGRAMMERS
Select one of the following Calculus sequences:
Sequence One
MAT 150	CALCULUS I
MAT 151	CALCULUS II
MAT 152	CALCULUS III
Sequence Two
MAT 147	CALCULUS WITH INTEGRATED PRECALCULUS I
MAT 148	CALCULUS WITH INTEGRATED PRECALCULUS II
MAT 149	CALCULUS WITH INTEGRATED PRECALCULUS III
Sequence Three 1
MAT 155	SUMMER CALCULUS I
MAT 156	SUMMER CALCULUS II
CSC 300	DATA STRUCTURES I	4
CSC 301	DATA STRUCTURES II	4
CSC 321	DESIGN AND ANALYSIS OF ALGORITHMS	4
DSC 323	DATA ANALYSIS AND REGRESSION	4
DSC 324	ADVANCED DATA ANALYSIS	4
CSC 355	DATABASE SYSTEMS	4
DSC 341	FOUNDATIONS OF DATA SCIENCE	4
IT 223	DATA ANALYSIS	4
MAT 140	DISCRETE MATHEMATICS I	4
MAT 220	APPLIED LINEAR ALGEBRA	4
MAT 260	MULTIVARIABLE CALCULUS I	4
MAT 349	APPLIED PROBABILITY	4
MAT 350	BAYESIAN STATISTICS	4
MAT 360	GENERALIZED LINEAR MODELS	4
MAT 384	MATHEMATICAL MODELING	4

1

This Calculus sequence is offered only during the summer, in two 6-credit hour courses. Students successfully completing MAT 131, MAT 147, MAT 150 or MAT 160 should enroll in MAT 155; students who successfully complete MAT 148, MAT 151 or MAT 161 should enroll in MAT 156. Students who successfully complete MAT 155 may enroll in either MAT 151 or MAT 156.

Open Electives

Open elective credit also is required to meet the minimum graduation requirement of 192 hours. ?

Students are advised to talk with their advisor before double majoring, because some major combinations are prohibited.  No more than 50% of the credits that apply to one major may be drawn from another major.