The Master of Science in Data Science is an interdisciplinary graduate program that combines the teaching of domain-specific and technical skills for analyzing large data sets.
DurationThe Master of Science in Data Science is an interdisciplinary graduate program that combines the teaching of domain-specific and technical skills for analyzing large data sets. Built upon a core of foundational data science courses in Computer Science, Engineering, and Mathematics, and a selection of courses from data science application domains, the program is interdisciplinary in nature.
Students interested in data science tools will be able to focus on tool principles and tool development, and students interested in data science application domains will be able to focus on the application of data science tools with a selection of courses that develop skills in one of three application areas. The program also provides its students the option of doing an industrial internship, to acquire professional experience.
The program allows the various academic units involved to add courses in their specific application domains, thus keeping the program updated and relevant to current practice and industrial needs. the program is both academic and professional in nature, providing course that are true to a Master's level degree and courses that reflect the needs of the profession.
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Data science is one of the most favorable career paths for highly-skilled professionals from diverse backgrounds.
USF’s Master of Science in Data Science (MSDS) program delivers a rigorous curriculum focused on mathematical and computational techniques in the field of data science.
The Master of Science in Data Science program provides a strong foundation in the emerging area of data science, with foci on data management and accountability, visualization and communication, and computational, algorithmic and applied processing techniques.
The master's in data science provides students with core competencies in the latest methods of analysis, data management, and infrastructure and high-throughput data processing and storage.
This degree is designed for students with an undergraduate degree in the sciences or engineering, and it provides both mathematical and algorithmic foundational knowledge and practical programming skills for data science careers
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