Applied Data Science Minor
The applied data science minor develops your mathematical and technological skills to analyze data sets. You'll also learn about the societal implications of data work, including privacy and surveillance. There's a growing need for people with deep analytical skills who can make effective decisions.
Plan of Study
Required Courses (12 cr.)
- LIS-S202 Data Organization and Representation (3 cr.)
- NEWM-N328 Visualizing Information (3 cr.)
- INFO-I415 Introduction to Data Analytics for Informatics (3 cr.)
- INFO-I416 Applied Cloud Computing for Data Intensive Sciences (3 cr.)
The following mathematics, statistics, and programming courses must be completed before enrollment in INFO-I415 and INFO-I416:
- MATH 15300 College Algebra (3 cr.)
- MATH 15400 Trigonometry (3 cr.)
- MATH 17100 Multidimensional Mathematics (3 cr.)
- MATH 15900 Precalculus (5 cr.) may be taken in place of MATH 15300 and MATH 15400
- Select one statistics course:
- ECON-E270 Introduction to Statistical Theory in Economics and Business (3 cr.)
- PBHL-B300 Introduction to Biostatistics (3 cr.)
- SPEA-K300 Statistical Techniques (3 cr.)
- STAT 30100 Elementary Statistical Methods 1 3 cr.)
- STAT 35000 Introduction to Statistics (3 cr.)
- Select one programming course:
- CIT 21500 Web Programming (3 cr.)
- CSCI 23000 Computing 1 (4 cr.)
- INFO-I210 Information Infrastructure 1 (4 cr.)
- NEWM-N220 Introduction to Media Application Development (3 cr.)
- Select one database course:
- CIT 21400 Introduction to Data Management (3 cr.)
- CSCI-N211 Introduction to Databases (3 cr.)
- CSCI 44300 Database Systems (3 cr.)
- HIM-M200 Database Design for Health Information Management (3 cr.)
- INFO-I308 Information Representation (3 cr.)
Students must earn a C or higher in each individual course in order to graduate with the Applied Data Science minor.
Last updated: 4/23/2018
