University of Pittsburgh campus

Engineering

Professional Master's in Data Science at University of Pittsburgh

University of Pittsburgh, United States

Programme overview

The Master of Data Science is a fully online, asynchronous programme offered with Coursera for working professionals, focused on data ethics, social impact and AI techniques including large language models and applied deep learning.

Faculty: School of Computing and Information  |  Duration: 20 to 36 months; 30 credits (ten courses)  |  Intake: Rolling term enrollment (Spring 2027 enrollment closes January 6, 2027)  |  Study mode: online  |  Location: Pittsburgh, PA, United States

What you will study

30 credits (ten courses) covering the data lifecycle: big data management, machine learning, database modeling and data visualization, with portfolio-building projects.

Career pathways

Data Scientist, Data Analyst, Data Coordinator, Data Engineer, and analyst roles in business, healthcare, supply chain, market research, sales, recruiting, finance and data governance.

Official programme page

Application information

Entry requirements

Verification of an earned bachelor's degree from an accredited US university or equivalent. No resume, transcripts, essays or letters of recommendation are required.

USD 15,300 for the whole programme. Approximate total tuition, same regardless of residency Source

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.

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