The Master of Science in Automated Science: Biological Experimentation (MSAS) program is the first of its kind, designed to train students for roles in developing highly automated scientific systems. It covers the principles and practical use of robotic laboratory equipment, computational methods for building predictive biological and medical models, and active machine learning and AI for iterative experiment selection. This program is ideal for students with undergraduate degrees in biology who want to gain advanced computational skills for careers in laboratory automation, or for those aiming to transition into Ph.D. programs.
Graduates are prepared for jobs in the laboratory automation industry or for further graduate study in competitive Ph.D. programs. The program aims to develop leaders in the emerging field of automated science.
TOEFL waivers are not issued for any reason, including previous study in the US or at an English-language institution abroad.
Figures are for the 2026-2027 academic year. Tuition is listed at the Masters level.
Tuition for the 2026-2027 academic year is USD $60,900. Estimated living costs for the academic year are $34,018, which includes housing, food, books, personal expenses, travel, transportation, and technology fees. Health insurance and loan fees are additional or to be determined.
Applicants should have an undergraduate degree, strongly encouraged in Computer Science, Biology, Chemistry, or Biomedical Engineering. Required college-level coursework includes life sciences, statistics, and programming, with algorithms and data structures being ideal. A TOEFL iBT score of at least 100 is required if English is not your native language.
Applications are submitted through the School of Computer Science online application portal for the fall semester only. You will need to upload your transcripts, resume, Statement of Purpose, and arrange for three letters of recommendation. An English proficiency test score is also required if applicable.
Graduates are prepared for roles in the development of highly automated systems for science and careers in the laboratory automation industry. The program also prepares students for further graduate study in competitive Ph.D. programs.
The program mentions the Rales Fellowship Program, Conference Funding, Professional Engagement Funding, and Scholarly Project Funding, with varying amounts and specific application details not fully provided.