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This Course Includes
coursera
0 (0 reviews )
24 months
english
Online - Self Paced
Degree
University of Colorado Boulder
About Master of Science in Computer Science
Take a broad approach to studying computer science that directly reflects a career in the field. You’ll start with breadth courses on algorithms, machine learning, network systems, and more. In addition to computer science courses, you can explore a variety of interdisciplinary electives in electrical engineering, engineering management, or data science to learn the latest computer science techniques alongside other job-relevant subjects.
Program admission is based on your performance in three preliminary courses, not your academic history. Upon your acceptance, you’ll become part of an innovative online program from a top global university. With collaborative faculty who find creative ways to link computer science to other areas of study at the university, you’ll be a member of the larger university community while learning how to leverage complex frameworks in realistic scenarios.
CU Boulder is a global university that’s ranked among the finest in the world. The Center for World University Rankings (CWUR) placed CU Boulder in the top 1% on its 2021-22 list of global universities, at 68th overall and 38th nationally.
What You Will Learn?
- 30 courses (30 credit hours) accredited by the Higher Learning Commission (HLC), which is part of the North Central Association of Colleges and Schools (NCA).
- Expertly taught courses created by faculty who have research and industry expertise combining computer science and applications to a broad range of sectors..
- Opportunities to combine theoretical knowledge with technical experience across both broad computer science courses and specific electives.
- An interdisciplinary model offering opportunities to learn from cutting-edge researchers across multiple fields.
- 30 courses (30 credit hours)Create your learning journey in statistics or computer science, vital skills, and electives in data science..
- Virtual spaces for dialogue and connection through discussion boards and group sessions with peers.
