Master of Science in Data Science
Curriculum
DSP 555: Multivariate Statistical Learning for Data Science
DSP556: Machine Learning for Data Science
DSP562: Data Analytics & Visualization
DSP563: Applied Mathematics in Data Science
DSP565: Computational Statistics
DSP566: Advanced Topics in Machine Learning
DSP567: Database Concepts, Cloud Computing, and Big Data
DSP568: Data Science for Business
DSP569: Applications of Data Science in Biological Science
DSP577: Interdisciplinary Data Enabled Research/Capstone
Learning Objectives
This program is suited to students from a variety of disciplinary backgrounds. The goals for this program are for graduates to:
- Have the practical knowledge and skills necessary for data science careers, including machine learning, data management, analysis of large and varied datasets, ethical considerations, and visualization for effective decision-making and communication about data.
- Formulate innovative solutions to complex problems by applying a theoretical foundation of data science in statistics, machine learning theory, and mathematical methods within divergent domain areas.