MS in Artificial Intelligence & Computational Drug Discovery & Development

University of California, San Francisco (United States) ยท 505 Parnassus Ave, San Francisco, CA 94143, United States

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The University of California, San Francisco (UCSF) is a public land-grant research university in San Francisco, California. It is part of the University of California system and is dedicated entirely to health science and life science. It conducts research and teaching in medical and biological sciences.UCSF was founded as Toland Medical College in 1864. In 1873, it became affiliated with the University of California as its Medical Department. In the same year, it incorporated the California College of Pharmacy and in 1881 it established a dentistry school. Its facilities were located in both Berkeley and San Francisco. In 1964, the school gained full administrative independence as a campus of the UC system, headed by its own chancellor, and in 1970 it gained its current name. Historically based at Parnassus Heights with satellite facilities throughout the city, UCSF developed a second major campus in the newly redeveloped Mission Bay district in the early 2000s.

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Program Details:

Program Website

Basic Info

Institute

Graduate Division

Degree

MS

Duration

1.5 years

STEM Designated

Yes

Program

Artificial Intelligence & Computational Drug Discovery & Development

Expense

Living Expenses

USD 30000

Tuition Fee (Domestic)

USD 25800

Tuition Fee (International)

USD 40900

Eligibility

Minimum/ Avg Score

IELTS

7

TOEFL

80

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Deadlines:

Deadline Website

Intake Deadline 1

01 Nov, 2026

(June-2027)

Document Required:

  • Degree Certificate

    Common Document

    A minimum of a bachelor's degree (BA/BS) or the equivalent from an accredited institution is required.

  • Degree Transcript

    Common Document

    Unofficial transcripts may be submitted for review purposes only. Final official transcripts must be submitted upon matriculation if an offer of admission is made.

  • Letter of Recommendation (LOR)

    University Specific

    Letters of recommendation should be written by individuals who are familiar with the nature of your preparation for this program and who can provide insight into your potential to succeed as a graduate student, researcher, and scientist, or summer undergraduate researcher (for SRTP/Summer Intern applicants).

  • Personal Statement

    University Specific

    Describe succinctly your reasons for applying to the MS in Artificial Intelligence and Computational Drug Discovery and Development (AICD3) program at UCSF, your preparation for this field of study, research interests, future career plans, and other aspects of your background and interests which may aid the admission committee in evaluating your aptitude and motivation for graduate study. The maximum recommended length is 1,000 words.

  • Resume

    Common Document

    In chronological order starting with the present, include all applicable information including but not limited to education; honors and awards; positions held; membership and service in societies; research experience/projects; computer skills; language proficiency; extracurricular interests; and community service.

  • Credential Evaluation

    Common Document

    Once you have been granted admission to UCSF, any transcripts you submitted in support of your application from institutions outside of the U.S. must be evaluated by one of the approved evaluators below. All are accredited third-party credential evaluation service.

  • Test Score Report

    Common Document

    IELTS/TOEFL

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