Basic Science

Completion of an MS degree in basic science requires that the student meet the minimum university requirements for the master’s degree, as found in the current Clarkson course catalog:

1. A minimum of 30 credit hours of graduate coursework, as follows:
   • At least 20 hours of course and seminar work must be completed. The balance of coursework must be consistent with the research or professional experience component.
   • Only courses numbered 500 and above are accepted for graduate credit.
   • 10 credit hours of transfer credit (B grade or better) may be accepted.
2. Satisfactory completion of a research experience or comparable professional experience, as follows:
   • a written thesis based on independent research;
   • a comprehensive examination; or
   • an appropriate, professionally oriented special project.
3. At least one academic year of study beyond the BS
4. A cumulative GPA of 3.0 in courses used to meet graduation requirements
5. Must be completed in 5 calendar years

Additional graduation requirements may be set by the research advisor or primary department.

15 credits or 5 courses are required

• Robotics Foundation (one from following):
  • Introduction to Mobile Robotics (EE555)
  • Introduction to Robotic Manipulators (EE556)
• Perception:
  • Computer Vision (CS652)
• Cognition (one from following):
  • Computational Learning (CS549)
  • Artificial Intelligence (CS551)
  • Deep Learning (CS570)
• Action (one from following):
  • Control Systems (EE550)
  • Digital Control (EE551)
  • Linear Control System (EE657)
  • Advanced Modeling and Simulation of Dynamic Systems (ME580)
• Mathematical Foundation (one from the following)
  • Matrix Theory and Computations (MA573)
  • Numerical Analysis (MA578)
  • Introduction to Applied Optimization (MA579)
  • Probability (MA581)
  • Probability and Statistics for Analytics (IA530) - (for Project and Course Only students)

Thesis Option: Minimum 6 credits or 2 courses
Project Option: Minimum 12 credits or 4 courses
Course Only Option: Minimum 15 credits or 5 courses

• Introduction to Mobile Robotics (EE555, if not taken as a Robotics Foundation Core Course)
• Introduction to Robotic Manipulators (EE556, if not taken as a Robotics Foundation Core Course)
• Computer Vision (CS652, if not taken as Perception Core Course)
• Computational Learning (CS549, if not taken as Cognition Core Course)
• Artificial Intelligence (CS551, if not taken as Cognition Core Course)
• Deep Learning (CS570, if not taken as Cognition Core Course)
• Control Systems (EE550, if not taken as Action Core Course)
• Digital Control (EE551, if not taken as Action Core Course)
• Linear Control System (EE657, if not taken as Action Core Course)
• Advanced Modeling and Simulation of Dynamic Systems (ME580, if not taken as Action Core Course)
• Natural Language Processing (CS668)
• Computer Graphics (CS552)
• Mixed Reality (CS561)
• Human-Robot Interaction: Taken as part of the Human-Computer Interaction course (CS559). Focus will be on developing robotic user interfaces.
• Parallel Programming (CS543)
• Advanced CAD Design (ME544)

FOR THESIS OPTION ONLY:
Thesis course (Minimum of 7 credits) Thesis (CS634)
Seminar course (2 credits)
Seminar (CS707)

FOR PROJECT OPTION ONLY:
Project Course (Minimum of 3 credits) Robotics Project (CS616)