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Graduate-level research in human-computer interaction, artificial intelligence, programming, databases, and software engineering, among other areas, makes this one of the most prominent departments nationally. A key area of strength is the collaboration opportunities with other centers and departments. In one example of that collaboration, the department will share in a $250 million gift to the university from the Coleman Institute to develop technologies that will enhance the lives of people with cognitive disabilities. Over the next few years the department will also use four successive awards to improve its computing infrastructure.
Artificial intelligence, databases, hardware systems, human-centered computing, hypermedia, machine learning, networks, numerical analysis, parallel computation, program analysis, programming languages, scientific computing, security, software engineering, software systems, speech and natural language processing, systems, and theory. Related areas of study: cognitive science, speech, and graphics/virtual reality.
The master of engineering does not require a residency on campus and is intended to meet the needs of those practicing engineers who are working full time outside the university. It allows participants to pursue an integrated program of studies by specializing in one engineering discipline and selecting courses from other engineering fields and business subjects related to the individual student's professional work.
The master of science degree permits graduate students the flexibility in defining specialized interdisciplinary fields that meet their professional needs.
Studies leading to the doctor of philosophy degree must be chosen to contribute to special competence and a high order of scholarship in a broad field of knowledge. Although the field of study will normally be in the department of computer science, except for essential related subject matter, studies may include one or more closely related departments. What shall constitute an acceptable organized program of study and research is established in consultation with a major advisor and without regard to the organization of academic departments in the university.
Opportunities for dual degree include:
- Hold a bachelor's degree or its equivalent from an accredited institution comparable to the University of Colorado.
- Have considerable programming experience, a number of computer science courses, and sufficient mathematical maturity to understand pure mathematics courses at the upper-division (junior/senior) level.
- Have at least a 3.00 cumulative undergraduate GPA
- Provide at least three letters of recommendation.
- The applicant's academic background should include a least three semesters of mathematics at the level of sophistication of calculus or above, courses such as calculus, differential equations, linear algebra, probability, statistics, and abstract algebra. The courses should indicate that the applicant has achieved the mathematical maturity expected of an upper-level mathematics undergraduate.
- Applicants should have programming experience, and at least five one semester courses in Computer Science that are beyond the introductory level are required. These are intended to demonstrate the applicant's breadth of basic Computer Science knowledge in the areas of computer hardware, software, and theory. The courses should include the equivalent of the following University of Colorado offerings:
Teaching assistantships, research assistantships, and grader positions are available. PhD students receive priority for TA and RA positions.
University of Colorado Boulder
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Boulder, CO 80309-0430