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UMBC Data Science Graduate Program Starts Fall 2017

June 16th, 2017, by Tim Finin, posted in Big data, Data Science, Database, Datamining, KR, Machine Learning, NLP

 

UMBC Data Science Graduate Programs

UMBC’s Data Science Master’s program prepares students from a wide range of disciplinary backgrounds for careers in data science. In the core courses, students will gain a thorough understanding of data science through classes that highlight machine learning, data analysis, data management, ethical and legal considerations, and more.

Students will develop an in-depth understanding of the basic computing principles behind data science, to include, but not limited to, data ingestion, curation and cleaning and the 4Vs of data science: Volume, Variety, Velocity, Veracity, as well as the implicit 5th V — Value. Through applying principles of data science to the analysis of problems within specific domains expressed through the program pathways, students will gain practical, real world industry relevant experience.

The MPS in Data Science is an industry-recognized credential and the program prepares students with the technical and management skills that they need to succeed in the workplace.

For more information and to apply online, see the Data Science MPS site.

UMBC Seeks Professor of the Practice to Head new Data Science Program

June 7th, 2017, by Tim Finin, posted in Data Science, Semantic Web, UMBC

The University of Maryland, Baltimore County is looking to hire a Professor of the Practice to head a new graduate program in Data Science. See the job announcement for more information and apply online at Interfolio.

In addition to developing and teaching graduate data science courses, the new faculty member will serve as the Graduate Program Director of UMBC’s program leading to a master’s degree in Data Science. This cross-disciplinary program is offered to professional students through a partnership between the College of Engineering and Information Technology; the College of Arts, Humanities and Social Sciences; the College of Natural and Mathematical Sciences; the Department of Computer Science and Electrical Engineering; and UMBC’s Division of Professional Studies.

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