Data Science and Analytics, M.S.
Program Overview
- 50% computing and 50% statistical courses ensure comprehensive data science education
- Hands-on experience with Python, R, data engineering, and machine learning models
- Expertise in data visualization, statistical modeling, and machine learning-based analytics
- Focus on internships, real-world projects, and career readiness in data science fields
- Professional Science Master’s Program
- Industry-focused curriculum blending advanced technical skills with professional development for leadership in data science
Coursework
The Data Science and Analytics program blends data science with courses in statistics and the professional science master's program. Key concepts in the curriculum include:
- Data engineering and mining
- Information visualization
- Statistical modeling
- Ethics and professionalism
Program Overview
Final Internship
All DSA students must complete an internship as part of their Professional Science Master's curriculum. More information on finding an internship and getting credit for it is at our PSM website.
Please contact Chris Babbitt, our internship partner coordinator, at [email protected], Professor Holli Reyes, and the Career Center for assistance in resume building, interviewing, and finding an internship.
Page last modified November 12, 2025