Data Science Minor
https://ceps.unh.edu/computer-science/program/minor/data-science
The objective of this minor is to provide a basic background in data science for those who are more interested in the theoretical underpinnings of analytics and data science.
Students must complete five courses (20 credits) with a cumulative minimum grade point average of 2.0 and with no grade below a C- grade. Transfer course approval for the minor is limited to at most, two relevant courses successfully completed at another accredited institution, subject to syllabi review and approval. and programming (CS 415: Introduction to Computer Science I, or COMP 425: Introduction to Programming) is required.
| Code | Title | Credits |
|---|---|---|
| Requirements | ||
| CS 515 | Data Structures and Introduction to Algorithms | 4 |
| Select one course from the following: | 4 | |
| From Programs to Computer Science (Durham Students) | ||
| Introduction to Computer Science II | ||
| Data Structures Fundamentals (Manchester Students) | ||
| Select three courses from the following: 1 | 12 | |
| Introduction to Artificial Intelligence | ||
| Machine Learning | ||
| Information Retrieval | ||
| Mathematical Optimization for Applications | ||
| Database Systems | ||
| Linear Algebra for Applications | ||
| Advanced Statistical Modeling | ||
| Data Mining and Predictive Analytics | ||
| Applied Regression Analysis | ||
| Neural Networks | ||
| Mining Massive Datasets | ||
| Total Credits | 20 | |
- 1
Must select at least one CS and one MATH course. Must select CS 750: Machine Learning or MATH 738: Data Mining and Predictive Analytics.
For more information, contact Matthew Magnusson, program coordinator and minor supervisor, at matthew.magnusson@unh.edu.