Business
University of Pittsburgh, United States
A STEM-designated 45-credit dual degree combining the MS in Supply Chain Management with the MS in Analytics and Applications of AI for Business. The supply chain component provides broad knowledge and technical skills in sourcing, logistics, planning, inventory, pricing and consulting, with electives ranging from information technology to accounting and strategy.
Faculty: Joseph M. Katz Graduate School of Business | Department: Katz Graduate School of Business | Duration: 45 credits; the dual MS pathway can be completed in as few as three semesters | Location: Pittsburgh, PA, United States
Required and elective courses across both MS programmes, with coursework in data mining, programming, machine learning, database management and AI deployment alongside the Supply Chain Management curriculum.
Katz dual-degree admission (Katz Joint & Dual Degree requirements): a four-year undergraduate degree from an accredited US university or the non-US equivalent; application with essay responses, current resume, transcripts and application fee; an evaluative interview may be requested. A minimum GPA of 3.0 must be maintained in the programme.
Requirements published at program group level.
Entry terms (Fall, Spring, Summer) and deadlines are set by each school or department; the University's graduate catalog lists Fall, Spring and Summer terms for new graduate students.
Graduate and professional applications are made online to the school or department of intended study, with deadlines set by each school or department; official English-test results are required from applicants from countries where English is not the official language.
Business
University of Pittsburgh, United States
Business
University of Pittsburgh, United States
Business
University of Pittsburgh, United States
Business
University of Pittsburgh, United States
Business
University of Pittsburgh, United States
Business
University of Pittsburgh, United States
Business
University of Pittsburgh, United States
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