Stanford Root

Schedule

Stanford Root

Schedule

BMDS 360

Data Science Mentoring

UNITS:1-2
GRADING:Medical Satisfactory/No Credit
LEVEL:Graduate
GER:—

This course has the following broad goals: (1) To ensure that Stanford graduate students in data science are intentionally trained to be effective mentors, with the ability to relate also to people whose life and academic experiences may be different from theirs. (2) To sustainably develop pathways to increase access to higher education in data science for individuals from all backgrounds. During weekly class meetings, graduate student participants will learn strategies to create an environment that foster a sense of belonging, approaches to effective mentoring and coaching, and techniques to develop a personalized curriculum with the course staff and guest speakers. They will also be paired with current undergraduates from non-R1 schools with an interest in data science, recruited in partnership with faculty from those institutions. Participants will meet online weekly for one-on-one mentorship where mentee will be exposed to research in data science. During the weekly meetings, mentors and mentee will work on a range of activities, designed with assistance from course staff, including planning course of studies, navigating internship opportunities and preparing applications; tutoring in some aspects of data science; and guidance in engaging in mini-research projects, depending on the mentee's interests.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 26347
0 / 999 enrolled
DAYS:Monday
TIME:1:30 PM – 3 PM
LOCATION:TBD
INSTRUCTOR:
Sabatti, Chiara, Mavura, Yusuph
units

BMDS 360: Data Science Mentoring

1-2 units · Medical Satisfactory/No Credit

This course has the following broad goals: (1) To ensure that Stanford graduate students in data science are intentionally trained to be effective mentors, with the ability to relate also to people whose life and academic experiences may be different from theirs. (2) To sustainably develop pathways to increase access to higher education in data science for individuals from all backgrounds. During weekly class meetings, graduate student participants will learn strategies to create an environment that foster a sense of belonging, approaches to effective mentoring and coaching, and techniques to develop a personalized curriculum with the course staff and guest speakers. They will also be paired with current undergraduates from non-R1 schools with an interest in data science, recruited in partnership with faculty from those institutions. Participants will meet online weekly for one-on-one mentorship where mentee will be exposed to research in data science. During the weekly meetings, mentors and mentee will work on a range of activities, designed with assistance from course staff, including planning course of studies, navigating internship opportunities and preparing applications; tutoring in some aspects of data science; and guidance in engaging in mini-research projects, depending on the mentee's interests.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Monday 1:30 PM – 3:00 PM — Sabatti, Chiara, Mavura, Yusuph (Graduate)

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  • BMDS 370: Medical Scholars Research
  • BMDS 390: Curricular Practical Training
  • BMDS 399: Graduate Research on Biomedical Data Science
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