Data Science

Dare to be a force in the world of data. In data science (DAS), you don’t just crunch numbers - you unlock the stories hidden within them. In this program, you'll master the fundamentals of math, computer science, and statistics, and learn how to use cutting-edge tools and algorithms to tackle complex, real-world problems.

You’ll sharpen your ability to analyze patterns, build predictive models, and communicate your findings clearly, giving you the power to drive smarter decisions. Every dataset becomes a challenge, and every challenge is an opportunity to shape the future with the insights you uncover.

Career paths you can take:

  • Data Scientist: Build and implement complex machine learning models, analyze large datasets, and extract valuable insights to inform business or organizational decisions.
  • Data Analyst: Analyze and interpret data to help businesses understand trends, make data-driven decisions, and improve operations.
  • Machine Learning Engineer: Develop machine learning models and algorithms to automate tasks, make predictions, or uncover insights.
  • Data Engineer: Data engineers build and maintain the infrastructure required to collect, store, and process large datasets. They focus on the architecture that supports data analysis and machine learning models.
  • Ethical Hacker/Data Security Analyst: This involves using data science techniques to help secure an organization’s data systems, detect vulnerabilities, and ensure compliance with data privacy regulations.
  • Robotics Engineer (with Data Science Focus): Robotics engineers with data science skills apply machine learning and sensor data to design intelligent, autonomous systems, such as robots or drones, that can operate in real-world environments.
  • Healthcare Data Scientist: In the healthcare industry, data scientists analyze patient data, medical records, and research data to improve healthcare outcomes, predict disease trends, and optimize hospital operations.

Undergraduate Program Director: Kevin McDonnell

For more information about the DAS major, please refer to the Undergraduate Bulletin.

Required Courses
AMS 151: Applied Calculus I
AMS 161: Applied Calculus II
One of:
• AMS 210: Applied Linear Algebra
• MAT 211: Introduction to Linear Algebra
• MAT 308: Differential Equations with Linear Algebra
• MAT 310: Linear Algebra
One of:
• AMS 261: Applied Calculus III
• CSE 215: Foundations of Computer Science
• MAT 203: Calculus III with Applications
• MAT 307: Multivariable Calculus with Linear Algebra
CSE 101: Computer Science Principles
CSE 114: Introduction to Object Oriented Programming
CSE 214: Data Structures
One of:
• AMS 300: Writing in Applied Mathematics
• CSE 300: Technical Communications
AMS 310: Probability and Statistics
One of:
• AMS 315: Data Analysis
• CSE 357: Statistical Methods for Data Science
CSE 312: Legal, Social, and Ethical Issues in Information Systems
CSE 351: Introduction to Data Science