When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

University of Colorado Boulder logo

Master of Science in Computer Science

     0 |
  • Reviews ( 0 )
₹1307250

This Course Includes

  • iconcoursera
  • icon0 (0 reviews )
  • icon24 months
  • iconenglish
  • iconOnline - Self Paced
  • iconDegree
  • iconUniversity 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.