Engineering
Applied Data Driven Methods Certificate
University of Pittsburgh, United States
- Degree
- Postgraduate
Engineering
University of Pittsburgh, United States
A STEM-designated dual degree combining the MS in Finance with the MS in Analytics and Applications of AI for Business in one 45-credit programme. Students combine finance expertise with training in data mining, programming, machine learning, database management and AI deployment.
Faculty: Katz Graduate School of Business | Duration: 45 credits | Location: Pittsburgh, PA, United States
36 credits of core courses (including Financial Accounting, Financial Management 1 and 2, Corporate Finance, Investment Management, Financial Modeling, Data Programming with R and Python, Technical Foundations of Generative AI for Business, Deploying AI in Business, Statistical Analysis, Advanced Decision Technology and Data Mining), 3 credits of finance electives and 6 credits of analytics and AI electives, including experiential learning and responsible AI content.
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.
Engineering
University of Pittsburgh, United States
Engineering
University of Pittsburgh, United States
Engineering
University of Pittsburgh, United States
Engineering
University of Pittsburgh, United States
Engineering
University of Pittsburgh, United States
Engineering
University of Pittsburgh, United States
Engineering
University of Pittsburgh, United States
Engineering
University of Pittsburgh, United States
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