Program Overview

University Programs

The university offers a range of programs in data science, including undergraduate, master's, and PhD programs.

Undergraduate Program

• Program Overview: The undergraduate program in data science provides students with a comprehensive education in the principles and practices of data science.
• Major in Data Science: The major in data science is designed to provide students with a deep understanding of the technical and analytical skills required in the field.
• Minor in Data Science: The minor in data science is designed to provide students with a broad introduction to the principles and practices of data science.
• Joint Majors: The university offers joint majors in data science and other fields, allowing students to combine their interests and skills.
• FAQ: The university provides a list of frequently asked questions about the undergraduate program in data science.

Master's Program

• Curriculum: The master's program in data science provides students with a comprehensive education in the technical and analytical skills required in the field.
• FAQ: The university provides a list of frequently asked questions about the master's program in data science.
• Industry Concentration: The master's program in data science offers an industry concentration, allowing students to specialize in a particular area of interest.
• Tracks: The master's program in data science offers several tracks, including a track in machine learning and a track in data visualization.
• Capstone Project: The master's program in data science requires students to complete a capstone project, which provides them with the opportunity to apply their skills and knowledge in a real-world setting.

PhD Program

• Curriculum: The PhD program in data science provides students with a comprehensive education in the technical and analytical skills required in the field.
• FAQ: The university provides a list of frequently asked questions about the PhD program in data science.
• Medical School Track: The PhD program in data science offers a medical school track, allowing students to combine their interests in data science and medicine.
• NRT FUTURE Program: The PhD program in data science offers an NRT FUTURE program, which provides students with the opportunity to pursue interdisciplinary research in data science.
• Student Awards and Fellowships: The university offers several awards and fellowships to PhD students in data science, providing them with financial support and recognition for their research.

Non-Degree Program

• Curriculum: The non-degree program in data science provides students with a comprehensive education in the technical and analytical skills required in the field.

Research Areas

The university has several research areas in data science, including:

• CILVR
• Math & Data (MaD) Group
• Minds, Brains, and Machines (MBM)
• ML2
• STAT

Open Education

The university offers several open education resources in data science, including:

• Open Education Overview
• Yann LeCun's Deep Learning Course at CDS
• Probability and Statistics for Data Science
• Mathematical Tools for Data Science
• Data Science for Everyone Video Series

Probability and Statistics for Data Science

Probability and Statistics for Data Science is a hands-on introduction to the two core pillars of data science: probability and statistics. The book explores how these concepts work together, covering everything from random variables and hypothesis testing to principal component analysis and regression techniques. Along the way, readers work with real-world datasets to tackle some of the field's most important challenges—overfitting, the curse of dimensionality, causal inference, and more.