Data Science

Track Chairs

Data Science Committee

Mara Breen (Psychology & Education) | Andrea Foulkes (Mathematics & Statistics) | Janice Gifford (Mathematics & Statistics) | KC Haydon (Psychology & Education) | Barbara Lerner (Computer Science) | Heather Pon-Barry (Computer Science) | Andrew Reiter (Politics & International Relations) | Steven Schmeiser (Economics & Complex Organizations) | Jessica Sidman (Mathematics & Statistics) | Dan Sheldon (Computer Science) | Dylan Shepardson (Mathematics & Statistics) | Kate Singer (English) | Eleanor Townsley (Sociology)

The Nexus in Data Science integrates computational, programming, and statistical skills in applications across a range of fields. Data Science uses different types of data to create an accessible narrative and helps pose new questions, identify patterns, visualize trends, and make predictions using new techniques. The Data Science Nexus track offers students a basic foundation in data science with courses in computer science, statistics, and a domain in which they apply data science.

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)

Three courses at the 200 level or above, at least 1 of which must must be at the 300 level. Specific requirements of the three courses include:

  • 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 DS Nexus faculty member (4 credits)
  • one 300 level course that functions as a Nexus capstone course

Coursework will vary depending on a student’s domain-specific interests and/or major at Mount Holyoke College.

Examples of Data Science Paths (please note that these are only examples, and many other paths are possible; courses should be selected in consultation with a Nexus advisor):

  • Biology Majors
    BIO 223, CS 201, COLL 211, STAT 344, BIO 234
  • Computer Science Majors
    CS 201, STAT 241, CS 335, GEOG 205
  • Economics Majors
    STAT 140, CS 201, STAT 241, ECON 320
  • Geography Majors
    GEOG 205, CS 201, STAT 241, GEOG 320
  • History Majors
    CS 201, STAT 241, HIST 257, STAT 340
  • Mathematics & Statistics Majors
    SOC 123, CS 201, SOC 316, STAT 344
  • Psychology & Education Majors
    PSYC 101, CS 201, STAT 241, PSYC 300 Quantitative Lab
  • Sociology Majors
    STAT 140, CS 201, STAT 241, SOC 316

Use the search for classes link for the most up-to-date list of courses.