Total Degree Credits: 120
Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured. New computational and analytic approaches to a vast array of forms, scales, and sources of data are now critical to research, decision-making, and action.
Data scientists develop mathematical models, computational methods and tools for exploring, analyzing and making predictions from data. They ask appropriate questions about data and interpret the predictions based on their expertise of the subject domain.
The rigorous curriculum in Data Science program focuses on the fundamentals of applied mathematics, computer science, probability, statistics, optimization, and machine learning while incorporating real-world examples.
In addition to taking Data Science core curriculum subjects, students also complete a concentration in one of four areas: Big Data Analytics, Health Systems Engineering, Intelligent Mobility, or Quantitative Economics & Econometrics.
After completion of the B.S in Data Science, students will be able to:
- Apply current data science concepts, techniques, and practices to solve complex problems.
- Analyze a given data science problem and formulate a solution in terms of the datasets needed, the techniques required or the technologies to be utilized.
- Communicate effectively insights, analysis, conclusions, or solutions to a diverse audience.
**Course offering frequency subject to change**