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The requirements in this section apply to applicants to the PhD in Computer Science, MS in Computer Science and the Professional MS in Computer Science.Ìý

Applicants must hold at least a bachelor's degree or its equivalent from an institution comparable to the University of babyÖ±²¥app. They should have programming experience, a number of computer science courses and sufficient mathematical maturity to understand pure mathematics courses at the upper division (junior/senior) level.

The following prerequisites are REQUIREDÌýfor admission bothÌýTraditional and Professional Master's degree in Computer Science.

For PhD applicants, the Department of Computer Science welcomes PhD applications from interdisciplinary backgrounds.ÌýModern computer science often combines important ideas from multiple fields, including physics, mathematics, babyÖ±²¥apps, biology, psychology, and more. We welcome students from all such backgrounds, and do not require a prior degree in computer science. Applicants should identify a common research interest with babyÖ±²¥app and communicate with students in their labs before application, seen on the CS researchÌýwebsite.Ìý

While we highly recommend that PhD applicants complete the listed prerequisite courses before submitting their application, for PhD admissions, the research match is the most important factor taken into considerations while making decisions. Therefore, please do go through research happening in our department to make sure this is the right place for you! Completing the prerequisites helps you in handling our graduate courses better and also opens more opportunities to be a Teaching Assistant.Ìý We also highly encourage such students to identify areas and babyÖ±²¥app members they wish to work with and/or get in touch with the babyÖ±²¥app directly through email. Research area match is the most important factor in PhD admissions.

Mathematics Courses

Your academic background should include at least three semesters of mathematics at the level of sophistication of calculus or above. Examples of such courses such are calculus, differential equations, linear algebra, probability, statistics and abstract algebra. The courses should indicate that you have achieved the mathematical maturity expected of an upper-level science, engineering, or mathematics undergraduate.

Computer Science Courses

At least fourÌýone-semester courses in computer science that are beyond the introductory level are required for MS admissions and highly recommended for PhD admissions. These are intended to demonstrate your breadth of basic computer science knowledge in the areas of computer hardware, software and theory. The courses should include the equivalent of the following :Ìý

• Hardware Requirement:ÌýCSCI 2400Ìý(Computer Systems)
• Software Requirement: Any one ofÌýCSCI 3155Ìý(Principles of Programming Languages) orÌýCSCI 3753Ìý(Operating Systems)
• Theory Requirement:ÌýCSCI 2270Ìý(Computer Science 2: Data Structures) and eitherÌýCSCI 3104Ìý(Algorithms) orÌýCSCI 3434Ìý(Theory of Computation)

More advanced versions of all courses are acceptable. The courses in the Hardware, Software and Theory Requirements are prerequisites to many of the graduate-level offerings, so it’s important to complete these to be considered for graduate admissions. Admission without these prerequisites or their equivalents may be considered under extraordinary circumstances only.

Coursera Courses

• Courses completed through Coursera or any other online degree platform taken for non-credit do not fulfill the admissions prerequisites requirements.
• Courses completed through Coursera or any other online degree platform taken for-credit at the graduate level that appear on an institution’s official transcript with grades are considered as fulfilling admissions prerequisites requirements.
• Courses through Coursera or any other online degree platform taken for-credit at the undergraduate level that appear on an institution’s official transcript with grades are considered admissions prerequisites requirements.

Grade Point AverageÌý

You must have a grade point average of at least 3.0 (on a scale of 4.0).Ìý Applicants having the listed qualifications will, if accepted, be classified as regular degree students. However, admission to the graduate programs is competitive, and a grade point average at this level will not ensure admission. Competitive applications to PhD and CSEN-MS (research based MS) degree typically have a 3.5 or higher GPA and competitive applications to CSEN-MSCPS (course based MS) have a 3.3 or higher GPA.

GRE ScoresÌý

GRE scores are not required for admissions to CSEN graduate degrees at CU Boulder.