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Nov 20, 2024
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2024-2025 Graduate & Professional Studies Catalog
Master of Data Science
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This online professional master’s degree builds upon strengths that span the School’s three departments, providing broad perspectives on topics related to the collection, management, processing, and stewardship of data; data-driven problem-solving and information ethics; and the selection, application, and evaluation of various approaches to predictive modeling and machine learning. This curriculum emphasizes workforce readiness, with a focus on real-world, data-oriented problem solving and portfolio-building projects throughout. To reach a broad audience, this program is offered via an online, self-paced, asynchronous modality to increase access to and completion of the degree by working professionals. Additionally, this degree builds upon the School’s Applied Data-Driven Methods Graduate Certificate , which has no STEM prerequisites for admission nor assumption of programming experience to target a diverse population of adult learners from many disciplinary backgrounds.
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Admissions Requirements
Admissions to this program requires completion of a Bachelor’s degree from a regionally accredited institution in the United States or the completion of education that the University of Pittsburgh deems comparable to a Bachelor’s degree from a regionally accredited institution in the United States.
To be admitted to the program, eligible students must:
- Complete a brief web-based enrollment form
- Earn a grade of B or better in CMPINF 2100: Data-Centric Computing
Upon completion of the above, students will be admitted to the Master of Data Science program. Note that International students must demonstrate English language proficiency as required by University of Pittsburgh policy. Applicants who have completed the equivalent of a baccalaureate degree at an institution outside of the United States are required to provide official third-party evaluations of those academic credentials.
For further information about beginning our Performance-Based Admissions processes, please see the program web page.
Degree Requirements
This is an online professional master’s degree requiring 30 credits of coursework completed with a minimum C grade or higher. The distribution of credits is outlined below.
Core Courses
Students are required to complete the following core courses.
Electives
Students must complete three electives. The list below is a sampling of electives offered; More electives will be developed as the program grows.
- CMPINF 2211 - FOUNDATIONS OF CLOUD COMPUTING FOR DATA SCIENCE PROFESSIONALS
- CMPINF 2221 - APPLIED BAYESIAN DATA ANALYSIS
- CMPINF 2222 - APPLIED DEEP LEARNING
- CMPINF 2223 - TEXT AS DATA
Capstone
The Master’s of Data Science culminates in a required capstone. Students will enroll in a capstone course, working in teams on projects that address inquiries from the point of data ingestion to results explanation.
- CMPINF XXXX - CASE STUDIES IN DATA SCIENCE (under development)
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