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
- Nexus in Data Science
- Total credits (published)
- 18
- Catalog edition
- Catalog 2026-27
- Checklist type
- degree-program
- Description
- Data science is an emerging discipline that integrates computational, programming, and statistical skills in applications across a range of fields. This discipline 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. Data scientists have the potential to offer novel insights, expand our ability to ask questions that push the limits of our understanding, and harness the creativity, critical thinking, and communication skills that form the core of a liberal arts education. The vast quantities of data created by modern life make data science possible but also drive the need for an approach to the discipline that takes privacy and other ethical considerations seriously.
Identifiers
- IPEDS UNITID
- 166939
- CourseShelf checklist
- CK_166939_889f00c3_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
0 items
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 2
0 items
Completion of the UAF application stages 1 and 2 1
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-science/. Captured page pages/0175.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.