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UVA Data Science Institute Masters Program No ratings yet.

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University of Virginia

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UVA Data Science Institute

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$24,952.00 - $39,693.00

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from UVA DSI:

“The Master of Science in Data Science (MSDS) is an 11‐month professional masters program, designed to meet the increasingly data‐intensive needs of industry and government. The program starts near the beginning of July and ends the next year in mid-May. Core program courses will be taught by faculty from the Departments of Computer Science, Statistics, and Systems and Information Engineering.

Three key features of this program are (a) an integrated curriculum and data experience; (b) the compressed duration; and (c) a cohort experience. To achieve these, the curriculum is tightly prescribed with about 80% common to all students. The curriculum is integrated across courses, with several large complicated data sets woven across courses to increase program cohesion. The compressed duration is designed to minimize the time from start to finish, and the cohort experience will allow students to consistently work together in teams. At the conclusion of the program the students will address an important data science challenge with their capstone experience. Students will commence this work with a proposal describing their objectives. In conducting this final exercise students will be guided, mentored, and eventually evaluated by faculty members from the different disciplines.”

Recommended Prerequisites: Applicants need to have a completed undergraduate degree in hand by the start of the program. A specific undergraduate major or program of study is not required and we have student from a variety of undergraduate backgrounds including: economics, statistics, engineering, computer science, math, hospitality management, history and others. However, there is prerequisite knowledge needed for the MSDS program.

Students need to have completed each of the below courses by the start of the MSDS program:

-Single variable calculus (similar to UVA MATH 1210-1220 or MATH 1310-1320 or APMA 1090-1110)
-Linear algebra or matrix algebra (similar to UVA MATH 3350 or MATH 3351 or APMA 3080)
-An introductory statistics course (similar to UVA STAT 2020 or STAT 2120)
-An introductory programming course (similar to UVA CS 1110 or CS 1111 or CS 1112)

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