This course introduces students to the principles and practices of designing AI systems that are beneficial and useful to people. It explores key topics such as agency, ethics, bias, transparency, trust, and mixed-initiative systems. Students will learn to harness the power of AI to positively impact the human experience. The course emphasizes practical application through projects involving various AI domains like dialog systems, computer vision, recommender systems, and UI personalization. Assignments will primarily involve programming in Python and Javascript, with a focus on individual weekly mini-projects. While prior AI/machine learning experience is helpful, it is not a prerequisite. Students are expected to complete weekly readings and may be asked to present to the class. This course is suitable for both undergraduate and graduate students.
Graduates of this program are prepared for leadership roles in the emerging field of automated science, combining AI and laboratory automation. They can pursue opportunities in industry or further graduate study in competitive PhD programs.
TOEFL waivers are not issued under any circumstances, including previous study in the US or at an English-language institution abroad. Students are admitted for the fall semester only.
Fees are for the 2026-2027 academic year. Health insurance costs are TBD. Additional fees include Student Activities Fee ($244/year) and Technology Fee ($490/year).
The tuition for the M.S. program is $60,900 per academic year. Additional fees include a Student Activities Fee ($244/year) and a Technology Fee ($490/year). Health insurance costs are to be determined.
The estimated cost of living is $34,018 per academic year, which covers housing, food, books, personal expenses, travel, and transportation. This estimate excludes tuition and health insurance.
The application for Fall 2027 admissions opens on September 9, 2026. Admission is only offered for the Fall semester.
International applicants must submit a TOEFL iBT score of at least 100 overall. TOEFL waivers are not granted under any circumstances.
While degrees in Computer Science are encouraged, applicants with degrees in Biology, Chemistry, or Biomedical Engineering are also welcome. Completed college-level coursework in life sciences, statistics, and programming is required.
Graduates are prepared for roles such as AI System Designer, HCI Specialist, Data Scientist, or AI Researcher. Opportunities exist in industry or further graduate study.