Data is everywhere. It is in every field, behind every decision by politicians, scientists, economists, etc. Modern Data Science is being used to not only understand the plethora of data that has already been collected, but also to create new data in a myriad of forms, including visual (e.g. new art forms) and audible. Data Science now includes such varied techniques as sentiment analysis of text, image recognition, word prediction, and topic modeling. Applications of Data Science are now inescapable: they range from almost every smartphone app that we use, to policy decisions of our government. It is not an overstatement to say that an understanding of Data Science is necessary for a true understanding of the way our modern world works.
Pitzer advisors: D. Bachman, D. Brown, S. Guillermo, H. Liu, J. Lorenat
Please note: The courses listed below are a list of some, but not all, eligible courses to fulfill the Data Science minor as new courses are in development. Please consult with your Data Science advisor for questions or concerns pertaining to other eligible courses.
Requirements for Minor
Introduction to Computer Science (In Python)
Completion of any one (1) of the following courses:
Introduction to Statistics
Completion of any one (1) of the following:
Introduction to Data Science
Completion of any one (1) of the following:
Data Science Ethics and Social Justice
Elective Courses:
Two (2), suitable elective classes must be chosen with the student’s Data Science advisor. Options include upper level statistics, GIS, Bioinformatics, Machine Learning, and relevant classes in computing.
Data Science Courses
Computer Science
Data Science
Economics
Mathematics
Psychology
Sociology
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