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, Intelligent Mobility, or Quantitative Economics & Econometrics.
After completion of the B.S in Data Science, students will be able to:
1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
3. Communicate effectively in a variety of professional contexts.
4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
6. Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.
**Course offering frequency subject to change**
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