note_on_data_science_as_an_academic_discipline
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| Both sides previous revisionPrevious revision | Last revisionBoth sides next revision | ||
| note_on_data_science_as_an_academic_discipline [2016/02/23 12:19] – hkimscil | note_on_data_science_as_an_academic_discipline [2016/02/23 12:21] – hkimscil | ||
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| Southern Methodist University | Southern Methodist University | ||
| - | Degree: Master of Science in Data Science | + | * Degree: Master of Science in Data Science |
| - | School: Dedman College of Humanities and Sciences, Lyle School of Engineering and Meadows School of the Arts | + | |
| - | Location: Dallas, Texas | + | |
| - | Full-Time Program: 18–24 months | + | |
| - | Part-Time Program: Yes | + | |
| - | Online Option: Yes | + | |
| DataScience@SMU is an online Master of Science in Data Science program from Southern Methodist University that is designed for working professionals. The program features a project-based, | DataScience@SMU is an online Master of Science in Data Science program from Southern Methodist University that is designed for working professionals. The program features a project-based, | ||
| Line 23: | Line 23: | ||
| University of California, Berkeley | University of California, Berkeley | ||
| - | Degree: Online Master of Information and Data Science (MIDS) | + | * Degree: Online Master of Information and Data Science (MIDS) |
| - | School: School of Information | + | |
| - | Location: Berkeley, CA | + | |
| - | Full-Time Program: 12-20 months | + | |
| - | Part-Time Program: Yes | + | |
| - | Online Option: Yes | + | |
| UC Berkeley’s Master of Information and Data Science is a new degree intended for professionals who want to learn how to solve real-world problems in the data science realm. Students emerge with a solid understanding of the data lifecycle using the latest tools and methods for gaining insights from data. | UC Berkeley’s Master of Information and Data Science is a new degree intended for professionals who want to learn how to solve real-world problems in the data science realm. Students emerge with a solid understanding of the data lifecycle using the latest tools and methods for gaining insights from data. | ||
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| University of San Francisco | University of San Francisco | ||
| - | Degree: Master of Science in Analytics | + | * Degree: Master of Science in Analytics |
| - | School: College of Arts and Sciences | + | |
| - | Location: San Francisco, CA | + | |
| Full-Time Program: 1 year | Full-Time Program: 1 year | ||
| Part-Time Program: No | Part-Time Program: No | ||
note_on_data_science_as_an_academic_discipline.txt · Last modified: 2016/02/23 12:23 by hkimscil