Data Science Fellows

The Data Science Program at William and Mary offers competitive research fellowships to outstanding undergraduate students.  These annual, renewable fellowships are merit-based, and open to most undergraduates enrolled in either the DSP minor or a Data Science self-designed major.  Selected students will receive sponsored access to the SciClone High Performance Computing Cluster, priority access to the Data Science & Visualization Research Lab (ISC 1109), as well as a $500 research stipend to support travel, materials, and other needs related to research.  Fellows are expected to take a leadership role in helping peers define research questions within their application domains, provide peer-based advising to undergraduates interested in the DSP program, and give one annual presentation on their research to audiences at William and Mary. The number of fellowships is variable each year depending on the quantity and quality of applications, with submissions scored along three key criteria: (1) academic progress, (2) potential impact of proposed research, and (3) advisor support.

Minimum Qualifications
  • Declared Data Science degree, and completed DATA 140, DATA 146, and DATA 200 (or equivalents).
  • At least a 3.0 GPA in Data Science coursework.
  • At least one semester of previous experience working in an aligned Data Science Affiliate Lab (as an internship, independent study, or other arrangement).
  • Sponsorship by a DSP Faculty Advisor.
  • Apply no later than the first (fall) semester of your Senior year
Submission Process:
The below forms and materials must be submitted to the Data Science Program Director (via email at datascience@wm.edu or in person at ISC 1267) before May 1st, annually. Seniors who (a) have not previously been awarded the Fellowship, and (b) intend to graduate in the spring can additionally apply for special consideration no later than December 1st during the Fall semester. All items should be submitted in a single package or PDF.
  • Application packet
    • Signature of a Sponsoring DSP Faculty Advisor.
    • Grades from Data Science Coursework
    • Student signature
  • Unofficial Academic Transcript(s)
  • One-page (including all figures and citations) research summary.
Renewal Process

Annually (on or around May 1), Data Science Fellows who are not graduating are eligible for renewal at the recommendation of their advisor.  The three core expectations of fellows over the last year will be assessed: (1) Fellows are expected to take a leadership role in helping peers define research questions within their application domains, (2) provide peer-based advising to undergraduates interested in the DSP program, and (3) give one annual presentation on their research to audiences at William and Mary.  Fellowship renewals will be announced at the same time as new fellows, and will carry all of the same privileges and responsibilities.  No additional application material is required in these cases.