A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.
Program
- Award
- Data Analytics and Society
- Catalog edition
- Catalog 2026-27
- Checklist type
- degree-program
- Description
- Data analytics and society offers an explicit focus on social and historical context, emphasizing critical literacies for data analysis and ethical decision-making. This Nexus focuses on acquiring concrete skills and data and visual literacies in hands-on research application. Students will link courses in data analysis across disciplines to engage with fundamental data literacies for citizenship, in particular visual, communicative and interpretive capabilities in social context. The Nexus in Data Analytics and Society can enhance a range of different majors by adding a concentration in social research and will help students represent their applied analytical skills in problem solving and data analysis.
Identifiers
- IPEDS UNITID
- 166939
- CourseShelf checklist
- CK_166939_b0963d33_1
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Requirements for the Nexus
0 items
Four 4-credit courses, of which:
0 items
one must be in statistics at the 200 level or higher, from the list of courses approved for this Nexus
0 items
one must be in computer science at the 200 level or higher, from the list of courses approved for this Nexus
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one must be in an application area (e.g., biology, economics, English, psychology, sociology) at the 200 level or higher, from the list of courses approved for this Nexus
0 items
one is an elective course that demonstrates an interest in data science and that may be taken at the 100 level and must be taken before the internship
electives · 0 items
Note: at least one of these four courses must be an approved 300-level capstone course that goes into depth in statistics, computer science, or a data science application area. Appropriate courses include: COMSC-335, ECON-320, SOCI-316NT, STAT-340 or STAT-344
0 items
A substantive internship
1 item
- 2
A presentation at LEAP Symposium
0 items
Courses Counting toward the Nexus
0 items
Anthropology
1 item
- 4
Astronomy
2 items
- 4
- 4
Biological Sciences
2 items
- 4
- 4
Computer Science
11 items
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
Economics
2 items
- 4
- 4
Environmental Studies
1 item
- 4
Geography
2 items
- 4
- 4
Mathematics
4 items
- 4
- 4
- 4
- 4
Politics
2 items
- 4
- 4
Psychology
6 items
- 4
- 4
- 4
- 4
- 4
- 4
Sociology
3 items
- 4
- 4
- 4
Statistics
6 items
- 4
- 4
- 4
- 4
- 4
- 4
Source. Mount Holyoke College, catalog Catalog 2026-27 — http://catalog.mtholyoke.edu/areas-study/data-analytics-society/. Captured page pages/0026.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.