- Valerie Barr, Jean E. Sammet Professor of Computer Science
- Dylan Shepardson, Associate Professor of Mathematics
- Martha Hoopes Professor of Biological Sciences
- contact any track chair: firstname.lastname@example.org
Data science uses facts and figures to create an accessible narrative, pose new questions, identify patterns, visualize trends and make predictions. The Nexus in data science integrates computational, programming and statistical skills in applications across a range of fields. It offers students a basic foundation in data science, with courses in computer science, statistics and a domain in which they apply data science.
A data science major is now available for students interested in exploring the subject in greater depth.
Courses (listed in the course catalog)
Students will complete 18 credits
- A 100-level or higher class that demonstrates interest and prepares a student for an internship (4 credits)
- COLL 211 and the LEAP Symposium (2 credits)
- one 200-level or higher course in CS (4 credits)
- one 200-level or higher course in STATS (4 credits)
- one course at the 200-level or higher in a data science application area, to be selected in consultation with a data science Nexus faculty member (4 credits)
An internship, to be selected in consultation with a data science Nexus faculty member, is also required.
Coursework will vary depending on a student’s domain-specific interests and/or major at Mount Holyoke College. Courses should be selected in consultation with a Nexus advisor, as many paths are possible.
Use the search for classes link for the most up-to-date list of courses.