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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 Requirement

Visit the breadth requirement page for more information.

2. Required Track Courses

Students are required to complete 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
CSEE W4119	Computer Networks
COMS W4118	Operating Systems
COMS W4115	Programming Languages and Translators

3. Elective Track Courses

Students are required to complete 4 courses out of the following list; at least 2 courses must be 6000-level CS courses:

Course ID	Title
CSEE W4140	Networking Laboratory
COMS W4180	Intro to Network Security
COMS W4261	Intro to Cryptography
COMS W4737	Biometrics
COMS W4995	Visit the topics courses page to see which COMS 4995 courses apply to this track.
COMS E6118	Operating Systems, II
COMS E6125	Web-enhanced Info Management (Whim)
COMS E6180	Modeling & Performance
COMS E6181	Advanced Internet Services
COMS E6184	Anonymity and Privacy
COMS E6185	Intrusion and Anomaly Detection Systems
COMS E6717 (ELEN E6717)	Information Theory
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.
ELEN E4703	Wireless Communications
ELEN E6761	Computer Communication Networks
ELEN E6767	INTERNET ECON, ENG & SOCIETY
ELEN E6770	Next-Generation IP Networks
ELEN E6771	Topics: 5G Programmable Networks
ELEN E6771	Topics: Next Generation Networks
ELEN E6950	Wireless & Mobile Nets, I
EECS 4951	Wireless Networks & Systems
SIEO (STAT) W4606/4207/5207	Elementary Stochastic Processes
	(or, substitute with IEOR-W4106)
IEOR E6704	Queueing Theory and Applications
IEOR E6801	Monte Carlo & Discrete Event Simulation
IEOR E4406	Facilities Location, Routing, Network Design

4. General Electives

Students must complete the remaining credits with General Elective Courses at the 4000 level or above. At least three of these points must be chosen from either the Track Electives listed above or from the CS department at the 4000 level or higher. 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.

• 4 elective courses (12 points) selected from the list of Elective Track Courses; at least 2 of these courses must be 6000-level CS courses

• 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