Data Science Minor
The Data Science Minor prepares students with the theory and skills necessary to analyze and derive insights from large data sets. The curriculum includes techniques from mathematics (particularly statistics) and computer science. It encompasses academic topics including machine learning, cluster analysis, data mining, and data visualization.
Goal 1: Students will be prepared for a variety of professions in Data Science and/or Master’s degree programs in Data Science and be able to adapt to complex technological and analytical environments in the workplace.
Objective 1.1: Students will be proficient programming in Python and in R.
Objective 1.2: Students will be able to analyze data sets using a variety of software and analytical approaches.
Objective 1.3: Students will be able to communicate the results of technical data analysis in a manner that is understandable to non-specialists.
|The Minor in Data Science will require completion of a total of six (6) courses as outlined below:|
|Three (3) Core Courses:|
|MAT 223||Intro Math of Data Science||3|
|CSC 133||Python Programming for All||3|
|or CSC 115||Intro to Computer Science|
|MAT 325||Essentials of Data Science||3|
|Three (3) Elective Courses (select from the list below; at least one must be a CSC or MAT course):|
|CSC 134||Databases for All||3|
|or CSC 351||Database Management Systems|
|CSC 132||Artificial Intellig for All||3|
|or CSC 362||Artificial Intelligence|
|MAT 322||Mathematical Statistics||3|
|CSC 342||Computer Vision||3|
|CSC 358||Big Data and Web Intlgce||3|
|MAT 313||Mathematical Optimization||3|
|MAT 423||Applied Statistical Methods||3|
|MAT 424||Regression and Time Series||3|
|MAT 425||Machine Learning/Data Science||3|
|ECN 415||Economic Forecasting||3|
|ECN 487||Research Methods||3|
|Any internship course (in any department) that is pre-approved as having sufficient data science content.||3|