Bachelor of Arts · Natural Sciences · Area of concentration or secondary field
Data Science combines computing, statistics and mathematics. Students develop foundations in programming, databases, data preparation and quantitative methods before studying statistical models, algorithms, distributed computing, software engineering and machine learning.
The area of concentration culminates in a senior thesis. Students can pursue a data science question in a domain of interest or develop an interdisciplinary area with faculty supervision.
Recent offerings include:
Consult the undergraduate catalog and your faculty adviser for concentration and secondary-field requirements.
Program information: NCF undergraduate Data Science.
Apply statistics, mathematics and computer science to questions about sports. New College has announced a Sports Analytics track within the Data Science area of concentration and a Sports Analytics secondary field, with Prof. Andrey Skripnikov as the program contact.
12.5 units: 8.5 core + 4 track. Combine the Data Science core with the Sports Analytics course and seminar, advanced electives and sports analytics thesis research. An internal or external internship is optional.
6 units. The secondary field (minor) includes statistics, programming and databases, the Sports Analytics course and seminar, and one advanced elective. Examples include machine learning, time series, visualization or distributed computing.
Work with real sports data, including player tracking, to analyze player and team performance; compare strategies and decisions; build performance metrics; evaluate draft prospects and predict future performance; and group players and teams by style of play.
For planning and questions about these undergraduate options, contact graduateDS@ncf.edu. Confirm your course sequence and requirements with your faculty adviser.
Based on the Sports Analytics announcement distributed by the Office of the Provost on October 20, 2026.