BS in Data Science

The Departments of Computer Science, Statistics, and the College of Business jointly offer the Bachelor of Science in Data Science degree. Students will extract insights from massive datasets through curriculum enriched with statistical and computational techniques as well as Business analytics. The curriculum features in-depth study of statistical analysis, machine learning, data visualization, big data technologies, and business intelligence.

Data Science focuses on uncovering insights and valuable information from large datasets by leveraging methods from statistics, computer science, and domain-specific expertise, such as business intelligence. By collecting, cleaning, and analyzing data, data scientists identify patterns, trends, and relationships that can drive decision-making and predict outcomes. They use machine learning algorithms and statistical models to analyze complex datasets, aiming to transform raw data into actionable insights that benefit areas like business strategy, scientific research, healthcare, and technological development. Through data science, organizations can make informed, data-driven decisions to solve real-world problems and enhance operational efficiency.

The Bachelor of Science in Data Science degree is ideal for students interested in the fast-evolving fields of data analytics, machine learning, and artificial intelligence. With three focused areas to choose from—artificial intelligence, statistical analytics, and business analytics—students gain a comprehensive skill set tailored to their career goals. Graduates are equipped for roles that demand expertise in statistical analysis, programming, and data-driven problem-solving across diverse industries, including finance, healthcare, technology, and government.

Plan of Study

For the most current and accurate degree requirements, please refer to the university catalog page. The major requires the courses from the following list;

Select one from the following:
CSCI 114: Computer Applications
CSCI 159: Computer Science Problem Solving
TL 116: Database Systems

CSCI 161: Computer Science II
CSCI 222: Discrete Mathematics
CSCI 227: Computing Fundamentals in Python I
CSCI 228: Computing Fundamentals in Python II
CSCI 312: Survey of Programming Languages
CSCI 366: Database Systems

MATH 165: Calculus I
MATH 166: Calculus II
BUSN 380: Business Analytics: Business Problem Solving with Spreadsheets
STAT 367: Probability
STAT 368: Statistics
STAT 412: Stat for Data Science Using R
MIS 340: Applied Business Intelligence
MIS 479: Business Data Mining and Predictive Analytics

Select one from the following:
PHIL 216: Business Ethics
ENGR 327: Ethics, Engineering, and Technology
CSCI 489: Social Implications of Computers

Choose a Track

Select one track from below to complete the major

Track One: Artificial Intelligence

Select 4 courses (12 credits) from the following:
CSCI 313: Software Development with Frameworks
CSCI 420: Introduction to Data Science in Python
CSCI 422: Fundamentals of Data Engineering
CSCI 425: Machine Learning
CSCI 426: Introduction to Artificial Intelligence
CSCI 428: Artificial Intelligence, Ethics, and the Environment
CSCI 450: Cloud Computing
CSCI 479: Introduction to Data Mining

Track Two: Statistical Data Analytics

STAT 460: Applied Survey Sampling
STAT 462: Introduction to Experimental Design
STAT 463: Nonparametric Statistics
STAT 464: Discrete Data Analysis

Track Three: Business Analytics

MRKT 466: Digital Marketing Analytics
SCM 330: Supply Chain Analysis and Analytics
SCM 455: Supply Chain Technology Enablers
MIS 350: Enterprise Systems

Track Four: Generalist

Select any courses from Tracks 1-3 or below for a total of 12 credits:
IME 470: Operations Research I

Additional Degree Requirements

(Must satisfy General Education**)

Communication: 12 credits (including Engl 321 or Engl 324)
Humanities and Fine Arts: 6 credits
Science & Technology: 10 credits
Social and Behavioral Sciences: 6 credits
Wellness: 2 credits

**Cultural Diversity and Global Perspectives credits required