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1. www.colorado.edu › bb › grad-programsGraduate Programs | University of Colorado Boulder

   www.colorado.edu › bb › grad-programs

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   Advance your education. Advance your career. Graduate Programs. Whether conducting unparalleled research or leading in industry, you leave our graduate-level programs with the skills and connections necessary to advance your career. Here at CU Boulder, you’ll gain more than an education.

   • Graduate School

     As one of the nation’s top-ranked Tier 1 research...

   • Computer Science MS

     Fast track your career in computer science. The online...

   • Master of Science (MS) Online

     Computer Science - Master of Science (MS) Online. Overview....

2. www.colorado.edu › bb › grad-applyApply to Graduate School at CU Boulder - University of Colorado...

   www.colorado.edu › bb › grad-apply

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   CU Boulder offers more than 150 graduate programs in various fields and disciplines. Learn how to apply, explore the programs, and connect with the community at this top-ranked research university.

3. Videos

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     Online Master’s in Computer Science from CU Boulder: Free Webinar

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     Online Master’s in Data Science from CU Boulder: Free Webinar and Q&A

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     Earn a CU-Boulder Masters of the Environment professional degree

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4. catalog.colorado.edu › graduateGraduate Catalog < University of Colorado Boulder

   catalog.colorado.edu › graduate

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   The Graduate School facilitates and enhances the educational experiences of all graduate students at the University of Colorado Boulder, regardless of discipline, guaranteeing a standard of quality and cohesion across more than 125 master's and doctoral degree programs.

5. catalog.colorado.edu › data-science-master-science-msData Science - Master of Science (MS) - University of Colorado...

   catalog.colorado.edu › data-science-master-science-ms

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   The on-campus Master of Science in Data Science program focuses on developing knowledge and skills in interdisciplinary and collaborative data science competencies including statistical analysis, data structures and algorithms, data mining, machine learning, big data architecture and data visualization.