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GEORGIA TECH MASTER'S IN ANALYTICS

Comprehensive education in analytics & data science through interdisciplinary program
🏢 SME
Last updated: 27 Aug 2024 |

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Headquarter
Philippines
Headcount
1-10
Industry
Education
Recent funding
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The Master of Science in Analytics is an interdisciplinary program that combines the strengths of Georgia Tech's Scheller College of Business, College of Computing, and College of Engineering to provide graduates with a unique and comprehensive education in analytics and data science. By integrating...See more

Industry & specialities
machine learningoperations researchdata scienceanalyticsEducation
Details
Headquarter
Philippines
Countries of operation
Philippines
Funding status
Private
Company type
SME

Contact

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*This profile is created/compiled by The Grid to the best of our research ability, it is not currently maintained by or endorsed by .

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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.

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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.

Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.