University Of Minnesota

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9 Courses Offered

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Mission Statement

Improve English language skills of students at the University of Minnesota, helping them develop cultural understanding and the communication, critical thinking, and academic skills needed to be successful in academic, professional, and social settings.

Help internationalize the University of Minnesota by providing native speakers of other languages access to the University, serving as a resource to University programs and faculty who work with multilingual students, and fostering greater understanding of linguistic and cultural diversity.

Support the ESL profession by offering training opportunities for ESL teachers, providing continued development for ESL professionals, and contributing to the field through presentations, publications, and collaboration on research in second-language teaching and learning.

  • Minneapolis Branch

    216 Pillsbury Drive SE, Minneapolis

Courses offered by University Of Minnesota

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Interior Design BS

Our undergraduate interior design curriculum focuses on improving people’s quality of life and promoting health and well-being through the design of interior environments.

by University Of Minnesota
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Bachelor of Science in Data Science

The Bachelor of Science in Data Science degree is designed to provide undergraduate students with the theoretical and practical knowledge and skills needed to become a data scientist.

by University Of Minnesota
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Master of Science in Software Engineering

This program is appropriate for recent college graduates and software engineering professionals who want to increase their potential and relevance in the marketplace.

by University Of Minnesota
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FinTech Certificate (Boot Camp)

FinTech (financial technology) has changed the way businesses and consumers access their finances, disrupting traditional financial and banking industries.

by University Of Minnesota
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Algorithms and Data Structures

Survey of advanced algorithms and data structures such as heaps and heapsort, quicksort, red-black trees, B-trees, hash tables, graph algorithms, divide and conquer algorithms, dynamic programming, and greedy algorithms. Methods for proving correctness and asymptotic analysis.

by University Of Minnesota

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