Data Science Minor

Required Courses: Statistics/EDA/Machine Learning

(3 credits x 2)

• STAT 216 - Introduction to Statistics 3 credits

• -OR-

• STAT 332 - Statistics for Scientists and Engineers 3 credits

•  

   

• STAT 435 - Statistical Computing & Exploratory Data Analysis 3 credits

• -OR-

• CSCI 447 - Machine Learning 3 credits

•  

   

Required Courses: Computer Science

(3 credits x 2)

• CSCI 135 - Fundamentals Of Computer Science I 3 credits

•  

   

• CSCI 347 - Data Mining 3 credits

• -OR-

• CSCI 444 - Data Visualization 3 credits

•  

   

Electives - Choose 2 courses

(3 credits x 2)

• STAT 332 - Statistics for Scientists and Engineers 3 credits
• STAT 432 - Regression and Model Building 3 credits
• STAT 435 - Statistical Computing & Exploratory Data Analysis 3 credits
• STAT 441 - Experimental Design 3 credits
• M 417 - Topological Data Analysis 3 credits
• M 425 - Linear Algebra for Data Science and Engineering 3 credits
• CSCI 340 - Database Design 3 credits
• CSCI 347 - Data Mining 3 credits
• CSCI 440 - Database Systems 3 credits
• CSCI 443 - User Interface Design 3 credits
• CSCI 444 - Data Visualization 3 credits
• CSCI 447 - Machine Learning 3 credits
• CSCI 470 - Web Science 3 credits
• BMIS 453 - Business Intelligence and Advanced Analytics 3 credits

18 total credits required for a Data Science minor