Data Science
Our master’s degree program is designed to equip you with advanced skills for success in today's data-driven world. This strategic program seamlessly blends statistics and computer science, providing a deep understanding of data analysis, predictive modeling, and machine learning techniques while establishing a robust foundation in statistical methodologies and computational proficiency. Navigate data collection, interpretation, and cleaning intricacies, simultaneously mastering programming languages and tools crucial for efficient data manipulation and analysis. Through a specialized focus on statistics, you'll gain the expertise to extract valuable insights from complex datasets, make informed data-driven decisions, and expertly communicate findings to diverse audiences. By harmoniously merging statistics and computer science, this program empowers you to tackle real-world challenges using the power of data. Whether your ambitions gravitate towards data science, machine learning, or business analysis, our flexible master's degree, enriched by the guidance of experienced faculty from two departments, opens doors to opportunities in the dynamic landscape of data science.
Degree Requirements
| Code | Title | Credits |
|---|---|---|
| DATA 720 | Programming for Data Science | 3 |
| DATA 622 | 3 | |
| DATA 761 | Applied Machine Learning | 3 |
| DATA 765 | Applied Database Systems | 3 |
| DATA 787 | Data Science Ethics | 3 |
| DATA 711 | Basic Computational Statistics using R | 3 |
| DATA 713 | Introduction to Data Science | 3 |
| DATA 725 | Applied Statistics | 3 |
| DATA 726 | Applied Regression and Analysis of Variance | 3 |
| Electives - 6 credits required | 6 | |
| Applied Artificial Intelligence | ||
DATA 660 | ||
DATA 662 | ||
DATA 650 | ||
| Data-Driven Security | ||
| Statistical Big Data Visualization | ||
| Total Credits | 33 | |