Data Science and Machine Learning Pathway
Data scientists and machine learning professionals use statistical and computational methods to extract insights from large and complex datasets.
If you enjoy programming, predictive modeling, and working with data-driven technologies, this pathway can help you strengthen your computing, analytics, and artificial intelligence skills.
Students develop expertise in statistical modeling, probability, programming, machine learning, and data visualization while learning how to evaluate, build, and improve predictive models.
Whether you're interested in technology, finance, agriculture, healthcare, or business, this pathway provides the quantitative foundation needed to transform data into intelligent solutions.
Student Spotlights
Alumni Careers
Our undergraduate alumni work in roles such as:
- AI Engineer
- Data Scientist
- Data Engineer
at companies including:
- Epic
- Kingland Systems
- Workiva
Curriculum
STAT 4279 (Statistical Computing for Data Analysis) is a required course for statistics majors. If you enjoy this course, a Data Science and Machine Learning area of focus may be a good fit.
Suggested electives:
- Select statistics electives:
- Select computing course: DS 2020 (Data Acquisition and Exploratory Data Analysis)
- Select arts and humanities elective: PHIL 3430 (Ethics of Computing and Artificial Intelligence)
Explore minor(s) in: Data Science or Applied Artificial Intelligence.