Catapult your professional career in data science. University of houston-clear lake's (uhcl) master of science in data science takes a modern, industrial-oriented, and multi-disciplinary approach to prepare students for promising data science jobs in various career paths.
Catapult your professional career in data science. University of houston-clear lake's (uhcl) master of science in data science takes a modern, industrial-oriented, and multi-disciplinary approach to prepare students for promising data science jobs in various career paths.
A Well-Balanced and Customizable Degree for Diverse Student Backgrounds
Why Choose the Data Science M.S. at UHCL?
Degree Requirements
Requirements
Recognizing the need for higher education in the growing Clear Lake area, the 62nd Texas Legislature authorized the establishment of a second University of Houston campus in 1971.
Legislators cited a 1968 report by the then Coordinating Board, Texas College and University System (now the Texas Higher Education Coordinating Board) when approving the new campus. In 1973, the Texas Senate authorized construction of a permanent campus at Clear Lake.
Construction on University of Houston-Clear Lake Bayou Building began in 1974. By September, under the leadership of the university’s founding chancellor, Alfred R. Neumann, 1,069 students and 60 faculty began classes at an off-site location while waiting for the new building to be completed.
Computational Data Analytics & Artificial Intelligence students are required to have a bachelor’s degree in computer science, computer engineering, information technology, mathematics, or a related discipline. Students seeking to specialize in other tracks are required to have the appropriate ac...
The master of science in data science and analytics (msdsa) program at kennesaw state university is a dynamic 36-semester-hour graduate degree designed to prepare a diverse student body for successful careers in data science and analytics.
The master of science (ms) in data science program at the university of rochester provides students with a strong background in the fundamentals and applications of data science, and is accredited by new york state.
The demand for data scientists, data engineers, and data architects is rapidly growing across many industries. According to the U.S. Bureau of Labor Statistics, employment of data scientists is projected to grow 35% from 2022 to 2032, which is much faster than the average for all occupations.
Nu’s master of science in data science focuses on how to develop, implement, and maintain the hardware and software tools needed to make efficient and effective use of big data, including databases, data marts, data warehouses, machine learning, analytic programming, and artificial intelligence.
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