Data Analytics

There is a two-course sequence, with different courses for students in different majors. The first course is taken during year one or two; the next one as an explorations course, an elective, or a class in the major. Students must complete both part I and part II.

Part I - Foundational Level (GCR DAF)

Students must receive a passing grade (D- or better or “P” pass) to satisfy Part I before taking Part II.

Take one of the following courses:

• DMC 101 - Data Analytics (4 Cr.)  
• DMC 102 - Data Analytics for Sustainability (4 Cr.)  
• DMC 105 - Computational Thinking with Data (4 Cr.)  
• EC 206 - Economic and Business Statistics (4 Cr.)  
• MA 140 - Introduction to Statistics (4 Cr.)  
• MA 172 - Calculus through Data and Modeling (4 Cr.)  
• MA 245 - Applied Matrix Algebra (4 Cr.)   
• PSY 250 - Statistical Methods in Psychology (4 Cr.)   

Part II - Across the Curriculum (GCR DA-AC)

Take one of the following courses:

• CS 435 - Machine Learning (4 Cr.)  
• DAN 389 - Labanotation (4 Cr.)  
• DMC 205 - Geography, Data and Fairness (4 Cr.)  
• EC 320 - Econometrics (4 Cr.)  
• ES 202 - The South China Seas: A History (4 Cr.)  
• ES 311 - Biosphere and Society (4 Cr.)  
• HIS 202 - The South China Seas: A History (4 Cr.)  
• MA 240 - Probability and Statistics (4 Cr.)  
• MA 268 - Statistical Methods for the Sciences (4 Cr.)  
• MA 435 - Machine Learning (4 Cr.)  
• PHY 230 - Intermediate Physics Laboratory (2 Cr.)  
• PSC 211 - Research Methods in Political Science (4 Cr.)  
• PSC 213 - Practicum in Survey Research (2 Cr.) 
• PSY 302 - Quantitative Research Methods in Psychology (4 Cr.)  
• PSY 305 - Qualitative Research Methods in Psychology (4 Cr.)  
• SOA 217 - Methods of Social Research (4 Cr.)  
• WRT 285 - Analyzing Linguistic Data (4 Cr.)