Data Science Ph.D.

LEARNING OBJECTIVES

1. Upon completion of the degree, students will demonstrate knowledge of modern data management, data analytics, computer programming and machine learning methods.

2. Upon completion of the degree, students should be able to demonstrate the ability to think critically in making decisions based on data and modeling, including deep learning.

3. Upon completion of the degree, students should be able to demonstrate the ability to use the correct statistical modeling and machine learning techniques for the analysis of data, big or small, in exploratory analysis, confirmative modeling, or predictive modeling to support decision-making.

4. Upon completion of the degree, students should be able to demonstrate the ability to translate data into clear, actionable insights.

5. Upon completion of the degree, students should be able to demonstrate effective communication skills to facilitate the accurate translation of real-life problems into statistical learning models, and subsequently, the effective presentation and dissemination of analysis results and products.

6. Upon completion of the degree, students should be able to further demonstrate the ability to create novel applications and/or novel methodologies for data science research problems based on their core learning and creative derivations and programming.