The Data Science concentration focuses on modern techniques in machine learning, artificial intelligence, and data visualization. Students gain deep experience with tools such as Python and R, and develop skills in exploratory data analysis, model development, and the ethical deployment of AI in healthcare settings. This track is built for those eager to drive innovation at the intersection of data and decision-making in the health sciences.
Ideal for careers in: Healthcare data science, machine learning, AI product development, and computational health research.
Concentration competencies
Advanced data analytics
- Exploratory Analysis: Techniques for examining data sets to summarize their main characteristics, often using visual methods.
- Artificial Intelligence (AI): Understanding both classical AI approaches and modern, data-driven AI techniques.
- Model Development and Deployment: Skills in developing, analyzing, validating, and deploying models.
Data visualization
- Ensuring research reproducibility, utilizing containers, interactive computing, and applying principles of static and dynamic visualization design.
- Creating graphical representations of data to communicate insights effectively, such as Exploratory Analysis, Scatter Plots, Variable Distributions, Static and Dynamic Visualization Design.