Data Science Specialization
The Data Science Specialization provides a mathematically rigorous foundation for modern data analysis and machine learning. Students explore how core ideas from probability, statistics, linear algebra, and optimization inform algorithms used to extract insight from complex data. Emphasis is placed on developing both a rigorous theoretical foundation and practical computational skills.
Requirements
42 credits
Foundations of Data Science (16 credits)
| MATH-2075 | Multivariable Calculus | 4 credits |
| MATH-2080 | Introduction to Proofs and Discrete Math | 4 credits |
| MATH-3060 | Linear Algebra | 4 credits |
| CSCI-2040 | Computer Science II: Data Structures | 4 credits |
Data Science Core (18 credits)
| CSCI-2020 | Applied Databases | 2 credits |
| CSCI-2025 | Data Manipulation and Visualization | 4 credits |
| MATH-2025 | Multiple Regression Analysis | 4 credits |
| MATH-4002 | Introduction to Data Science | 4 credits |
| MATH-4025 | Statistical Machine Learning | 4 credits |
Electives (8 credits)
Complete at least 8 credits from the following:
| CSCI-3040 | Design and Analysis of Algorithms | 4 credits |
| CSCI-4055 | Numerical Computation | 4 credits |
| MATH-3025 | Probability and Mathematical Statistics | 4 credits |