Biomedical Data Science and AI Practicum
Students in the Internship course will acquire critical professional experience so that they will be well prepared to enter the scientific workforce upon graduation. This course provides a guided, mentored opportunity for students to build marketable skills, experience hands on applied work on open ended problems outside of the classroom, bolster professional and scientific communication skills, and gain greater understanding of their professional interests in aspects of biostatistics or biomedical informatics. Students will have an opportunity to work with experienced mentors (PIs) on a range of projects that may include data management, data analysis, study design, protocol development, and potentially, publication of scientific manuscripts. As part of the Internship requirements will give a presentation of the Internship experience. The grade (pass/fail) for each student will be determined in consultation with the mentor.
Prerequisites & course information
Credit 3 units. Typical periods offered: Fall, Spring
Sources
- Course catalogue โ2026โ2027