Computational Cell Biology, Anatomy and Pathology PhD at University at Buffalo

Programme overview

Described as a connector between the basic and clinical sciences, combining imaging, biosensors and microscopy with machine vision and machine learning to study biomedical mechanisms. Full-time and in person.

Faculty: Jacobs School of Medicine and Biomedical Sciences | Department: Pathology and Anatomical Sciences | Duration: 72 credit hours; 5 years | Study mode: In Person / Full Time | Location: Buffalo, NY, United States

What you will study

72 credit hours of imaging, microscopy and machine-learning-based biomedical research.

Official programme page

Application information

Entry requirements

University at Buffalo graduate applicants (all programmes): bachelor's degree and transcripts from every institution attended (unofficial copies accepted at application, official after admission); GRE scores only if the programme requires them; TOEFL, IELTS, PTE, CPE or CAE accepted as English proof for international applicants; supplemental materials and deadlines vary by programme; application fee is programme-specific.

Requirements published at program group level.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Entry terms and deadlines vary by programme; applicants apply directly to UB through the Graduate School application, with some programmes using external national applications plus a supplemental UB application.

A non-refundable application fee is required for each programme applied to; fees vary by programme and payment instructions are emailed after the application is submitted.

Law (JD) application fee is $85; applicants submit the LSAT or GRE.

MD: AMCAS application accepted June 1 to November 15; supplemental application and materials due December 1; supplemental fee $100; Early Decision AMCAS due August 1 and supplemental due August 31.

Apply through the official page: https://www.buffalo.edu/grad/explore/admissions/apply.html

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