Degree Requirements

Requirements Overview

1. Complete Core Coursework
2. Complete Data Analytics Summer Experience
3. Select and Complete Data Analytics Domain

The detailed requirements for both BA and BS degrees are organized as follows:

Bachelor of Arts

The Bachelor of Arts in Data Analytics (DA) requires a minimum of 46 credits of coursework.

1) Students must complete the following 34 credits of core coursework:

¹

To avoid double-counting elective courses, a course used to satisfy another degree program’s major or minor elective requirement cannot be counted as the DA Foundations Elective.

2) Students must complete a DA 030 (summer internship or research project). This experience must be approved by the Data Analytics Program Committee and is normally undertaken during the summer before the senior year.

3 ) Students must acquire some depth in a concentration of Data Analytics. See 'Concentrations in Data Analytics' for more information.

Bachelor of Science

Students who wish to acquire deeper methodological skills in data analytics and/or better prepare for graduate study may pursue a Bachelor of Science in Data Analytics. Students looking for added methodological depth and foundation, or to further strengthen their graduate school readiness, may also wish to pursue a minor or second major in Computer Science, Mathematics, or Applied Mathematics, or in another related quantitative field.

1) Students must complete the following 40 credits of core coursework:

²

To avoid double-counting elective courses, a course used to satisfy another degree program’s major or minor elective requirement cannot be counted as their DA Foundations Elective.

2) Students must complete an additional methods-based elective course approved by the Data Analytics program. To avoid double-counting elective courses, a course used to satisfy another degree program’s major or minor elective requirement cannot be counted as the methods elective for the Bachelor of Science in Data Analytics. Likewise, a course that is used to satisfy a student’s Data Analytics Domain cannot be counted as the methods elective for the Bachelor of Science in Data Analytics. A full list of currently offered electives that meet this requirement is maintained by the Data Analytics program. Examples include:

3) Students must complete a DA 030 (summer internship or research project). This experience must be approved by the Data Analytics Program Committee and is normally undertaken during the summer before the senior year.

4) Students must acquire some depth in a concentration of Data Analytics. See 'Concentrations in Data Analytics' for more information.

Concentrations in Data Analytics

Students pursuing BA or BS in Data Analytics must acquire some depth in a concentration of Data Analytics. They will then carry this disciplinary knowledge into their summer experience and senior seminar. Students may satisfy this requirement in one of two ways.

1. They may choose to take the designated set of courses from a specific department (see table below).
2. They may submit an individualized 3-4 course concentration elective plan, which must include at least one analytics-intensive course, to be considered for approval by the Data Analytics Program Committee. A successful one-page proposal will clearly describe the student’s desired learning goals and how the proposed courses together achieve these goals. The proposal should also demonstrate the feasibility of completing the proposed courses in the time remaining before graduation. Proposals must be submitted before the end of the sophomore year.

³

To avoid double-counting elective courses, a course used to satisfy another degree program’s major or minor elective requirement cannot be counted as one of the two DA Minor electives

Additional Points of Interest

Data Analytics majors wishing to study abroad should do so in the spring semester of their junior year. Data Analytics courses are not normally taken at other institutions, although on rare occasions, a suitable substitute may be found for DA 351/2/3 - Advanced Methods for Data Analytics.

If a student uses AP credit to skip a course in their chosen domain area, that course must be replaced with a suitable substitute, determined in cooperation with the appropriate department.