Program Overview

The Data Science program at Saint Mary's College is an accelerated 4+1 bachelor's to master's degree program. Students are able to earn both degrees in just five years and can take 12 credits out of the 30 required graduate credits as undergraduates at Saint Mary's. 

*Note that the department is also launching a direct-entry accelerated BA to MS 3+1 bachelor's to master's degree program for incoming first-year students to the College in Fall 2025. This unique opportunity allows students to complete both a bachelor's and a master's degree in just four years, with nearly all of their courses covered by undergraduate tuition! 

You Can Begin Your Degree In:

  • Fall 2025

You Will Take Classes:

This combination of rigorous study of mathematics or science with workplace skills like communication and project management are requirements of Professional Science Master’s programs.

What You Will Learn:

  • Tools and techniques for mining large data sources
  • Application and fine tuning of computing resources for data analysis, including widley used tools
  • Development and implementation of data analysis strategies based on theoretical principles and detailed knowledge of the underlying data
  • Generation of actionable intelligence for decision making
  • Clear and professional communication of nuanced analysis results to a diverse, varyingly technical audience
  • Rigorous application of mathematical principles to the analysis of data
  • Evaluation, implementation, and the assessment of the application of technology solutions for data analysis
  • Planning, directing, and evaluating the status of complex projects
  • How to transform innovative data-centered concepts into concrete products and services
  • Professional writing techniques
  • Working knowledge of probability, applied statistics, applied linear algebra, computer programming, databases, and systems analysis

Software & Programming Languages

The following software programs and programming languages will be utilized throughout the program curriculum:

Visit ResNet's Guide for Computing for more helpful information.

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