Clarkson Class of 2020 97 percent employment

The graduate programs in Computer Science are interdisciplinary programs offered jointly by the Department of Electrical & Computer Engineering and the Department of Computer Science. 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.

 

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Curriculum

MS and PhD Curriculum

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.

-Forbes Top 25 STEM Colleges
MS in Computer Science: Thesis Option

Foundation course – 3 credits

  • CS547 Computer Algorithms

Programming-intensive courses – choose two, 6 credits

  • List includes courses in machine learning, deep learning, software design and development, computer vision, image understanding, computer graphics, human-computer interaction, mixed reality, and operating systems.

Advisor-approved electives – choose three, 9 credits

  • 1 research-focused course in Computer Science
  • 1 Computer Engineering course relevant to Computer Science
  • 1 Computer Science elective course

Seminar – 2 credits 

Thesis – 10 credits

MS in Computer Science: Non-Thesis Option

Foundation course – 3 credits

  • CS547 Computer Algorithms

Programming-intensive courses – choose two, 6 credits

  • List includes courses in machine learning, deep learning, software design and development, computer vision, image understanding, computer graphics, human-computer interaction, mixed reality, and operating systems.

Advisor-approved electives – choose five,  15 credits

  • 1 Computer Engineering course relevant to Computer Science
  • 4 Computer Science elective courses

Project – 6 credits 

PhD in Computer Science

36 credit hours of classroom and instructional laboratory coursework

Foundation courses – 4 courses 

Research-oriented courses – 4 courses 

Breadth requirements – 1 course per Group:

  • Group A – Theory and Algorithms
  • Group B – Computer Systems and Networks 
  • Group C – Languages and Software Development
  • Group D – Artificial Intelligence and Applications

Electives – sufficient to meet 36 credit coursework requirement

Seminar – 6 semesters

Candidacy and Dissertation

A Note From Our Faculty

Clarkson is a small university but also a research university that has a great reputation with employers. Being part of this small community, students are able to have a personal connection with the faculty, which is harder to experience at larger universities.

Professor Alexis Maciel, Chair of Computer Science

Alexis Maciel
Admission

A complete application consists of the following:

  • Online Application Form
  • Resume.
  • Statement of Purpose.
  • 3 Letters of Recommendation.
  • Official Transcripts.
  • GRE Test Scores.
    • Required
  • For International Applicants, an English Proficiency Test is required.
    • Minimum Test Score Requirements: TOEFL (80), IELTS (6.5), PTE (56) and Duolingo English Test (115).

Prerequisites: A BS or equivalent degree in computer science or other closely related subject. Admission to the computer science program depends upon Computer Science Graduate Committee approval.

Why Study Computer Science at Clarkson?

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.

Contact Us

To learn more, ask questions or apply, contact:

Graduate Admissions Team
graduate@clarkson.edu
518-631-9831

 

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