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SUMMARY OF REQUIREMENTS

• Complete a total of 30 points (Courses must be at the 4000 level or above)
• Maintain at least a 2.7 overall GPA. (No more than 1 D is permitted).
• Complete the Columbia Engineering Professional Development & Leadership (PDL) requirement
• Satisfy breadth requirements
• Take at least 6 points of technical courses at the 6000 level
• At most, up to 3 points of your degree can be Non-CS/Non-track If they are deemed relevant to your track and sufficiently technical in nature. Please submit the course syllabus to your CS Faculty Advisor for review, and then forward the approval confirmation email to ms-advising@cs.columbia.edu

1. Breadth Courses

Visit the breadth requirement page for more information.

2. Required Track Courses

Students are required to complete 2 of the following courses. Students who have taken equivalent courses in the past and received grades of at least a B may apply for waivers and take other CS courses instead.

Course ID	Title
COMS W4160	Computer Graphics
COMS W4167	Computer Animation
COMS W4170	User Interface Design
COMS W4172	3D User Interfaces and Augmented Reality
COMS W4731	Computer Vision
COMS W4732	Computer Vision II
COMS W4733	Computational Aspects of Robotics
COMS W4735	Visual Interfaces to Computers
COMS W4771 or W4721*	Machine Learning or Machine Learning for Data Science
COMS W4737 (E6737)	Biometrics

* Due to significant overlap, students can receive credits for only one of these courses (either COMS W4771 Machine Learning or COMS W4721 Machine Learning for Data Science).

3. Elective Track Courses

Students are required to complete 2 courses from the following list. At least one of these courses must be a 6000-level CS course.

Course ID	Title
COMS W4160	Computer Graphics
COMS W4162	Advanced Computer Graphics
COMS W4165	Computational Techniques in Pixel Processing
COMS W4167	Computer Animation
COMS W4170	User Interface Design
COMS W4172	3D User Interfaces and Augmented Reality
COMS W4731	Computer Vision
COMS W4732	Computer Vision II
COMS W4733	Computational Aspects of Robotics
COMS W4735	Visual Interfaces to Computers
COMS W4737	Biometrics
COMS W4771 or W4721*	Machine Learning or Machine Learning for Data Science
COMS W4772	Advanced Machine Learning and Perception
COMS W4995	Visit the topics courses page to see which COMS 4995 courses apply to this track.
COMS E6160	Topics in Computer Graphics
COMS E6161	Rendering
COMS E6173	Virtual Reality and Augmented Reality
COMS E6174	Interaction Design: A Perceptual Approach
COMS E6176	User Interfaces for Mobile & Wearable Computing
COMS E6178	Human–Computer Interaction
COMS E6731	Humanoid Robots
COMS E6732	Computational Imaging
COMS E6733	3-D Photography
COMS E6734	Computational Photography
COMS E6735	Visual Databases
COMS E6737	Biometrics
COMS E6901	Projects in Computer Science (Advisor approval required)
COMS E6998	Visit the topics courses page to see which COMS 6998 courses apply to this track.
MECS E6615	Advanced Robotic Manipulation

*Due to significant overlap, MS students not in the Machine Learning track can only take 1 of the following courses – COMS 4771, COMS 4721, ELEN 4903, IEOR 4525, STAT 4240, STAT 4400/4241/5241 – as part of their degree requirements.

5. General Electives

Students must complete the remaining credits with appropriate General Elective graduate courses; 3 credits at the 6000 level and 3 credits at the 4000 level or above. Students may also request to use at most 3 points of Non-CS/Non-Track coursework if approved by the process listed below.

• At most, up to 3 points of your degree can be Non-CS/Non-track If they are deemed relevant to your track and sufficiently technical in nature. Please submit the course syllabus to your CS Faculty Advisor for review, and then forward the approval confirmation email to ms-advising@cs.columbia.edu

Please note:

• Due to a significant overlap in course material, MS students not in the Machine Learning track can only take 1 of the following courses – COMS 4771, COMS 4721, ELEN 4903, IEOR 4525, STAT 4240, STAT 4400/4241/5241 – as part of their degree requirements

• Students who waive track requirements by using previous courses must still complete 30 graduate credits. This can be done by expanding their elective selection to include courses listed as required track courses and elective track courses; or by taking other graduate courses

• The Degree Progress Checklist should be used to keep track of your requirements. If you have questions for your Track Advisor or CS Advising, you should have an updated Checklist prepared

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TRACK PLANNING

Please visit the Directory of Classes to get the updated course listings. Please also note that not all courses are offered every semester or even every year. A few courses are offered only once every two or three years or even less frequently.

Please note that some Data Science Institute courses, such as COMS/CSEE W4121 (Computer Systems for Data Science), do not count towards the CS MS degree. If you have any questions, please contact your advisor or CS Advising.

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Updated 09/04/2024