PhD Computer Science

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On-site or online, the graduate programs in Computer Science are interdisciplinary programs offered jointly by the Department of Electrical & Computer Engineering and the Department of Computer Science. The computer science program provides you with an education beyond the fundamentals and explores advances in computational theory, programming languages, software systems, hardware integration and information technology. You take courses in both departments on a wide-variety of topics, ranging from the theoretical to the applied. If you have an undergraduate background with an appropriate computer science context, then feel free to apply and expand your knowledge.

Clarkson University has an excellent reputation in science and technology fields.

  • Career fair on main campus draws well-known employers from across the US
  • We have connections with several companies in North-East US
  • Career Center staff both on main campus and at CRC
  • Internships or co-ops may be available after one year of full time study

We have a strong focus in artificial intelligence (AI), a field that is currently sought after by many companies. Areas of expertise in the department span theory, artificial intelligence, software, graphics and visualization, systems, security, and networking.

The Department of Computer Science offers both a PhD and a Master of Science (MS) program. The MS program has two options: a research-based thesis option, as well as a more professionally-oriented non-thesis option. Both programs can be done in person or online.

The PhD program and the thesis option of the MS program are designed to increase your fundamental knowledge and to give you guidance and experience in research. You achieve this by taking advanced courses, participating in seminars, and carrying out and reporting on a research project.

In the non-thesis option of the MS program, the research project is replaced by two additional courses and a project in which you apply the knowledge acquired in your courses to the solution of a significant problem.

Courses offered by the Department cover a wide range of topics. In all cases, you benefit from our small class sizes and close interaction with your professors.

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The requirements may vary based on your selected study options.





















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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Backlogs accepted
This course accepts backlogs