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 |