MS

Computer Science Master's Degree

Online Program Overview

Degree Level
Master's Degree
Total Credits
30
Delivery
Fully Online
Contact Us
Minimum GPA
3.3
Qualifying Exam
GRE Required

The function and influence of the computer is pervasive in contemporary society. Today's computers process the daily transactions of international banks, the data from communications satellites, the images in video games, and even the fuel and ignition systems of automobiles.

Computer software is as commonplace in education and recreation as it is in science and business. There is virtually no field or profession that does not rely upon computer science for the problem-solving skills and the production expertise required in the efficient processing of information. Computer scientists, therefore, function in a wide variety of roles, ranging from pure theory and design to programming and marketing.

The computer science curriculum at Columbia places equal emphasis on theoretical computer science and mathematics and on experimental computer technology. A broad range of upper-level courses is available in such areas as artificial intelligence, computational complexity and the analysis of algorithms, combinatorial methods, computer architecture, computer-aided digital design, computer communications, databases, mathematical models for computation, optimization, and software systems.

The Master of Science (M.S.) program is intended for professionals who wish to broaden and deepen their understanding of computer science. The program provides a unique opportunity to develop leading-edge in-depth knowledge of specific computer science disciplines. The department currently offers concentration tracks covering eight such disciplines.

"CVN provides a first class educational opportunity that fits both my work and personal schedule!"
John A. Taylor III, Lucent

Admissions Requirements

Degree required for admission: Most candidates have completed an undergraduate degree in computer science. Applicants with degrees in other disciplines and a record of excellence are encouraged to apply; these applicants are required to have completed at least 4 computer science courses covering the foundations of the field and 2 math courses. 

GPA required: Most students admitted have earned a grade point average above 3.5 (out of 4.0); a GPA of at least 3.3 is required. 

GRE requirements: General test required. A subject GRE test is not required but may be helpful in strengthening your application. 

Competence in English: Applicants whose native language is not English and who have not studied at schools where English is the primary language must complete the TOEFL exam with a minimum grade of 600 on the written TOEFL, or 250 on the computerized version. 

Other application requirements: 3 recommendation letters, transcripts, resume, and a personal-professional statement are required. All application requirements in the Graduate Application must be completed as specified in the application. 

No additional requirements.

 

Description

 

Students must complete all core courses and selected electives for a total of 30 graduate points of academic work via CVN while maintaining a minimum grade point average of 2.7. All degree requirements must be completed within 5 years of the beginning of the first course credited toward the degree. This includes courses taken in the non-degree program.

Course List

Students follow a plan of study in one of the Concentration Tracks below.

Concentration Tracks:

Computational Biology

Computer Security

Foundations of Computer Science

Machine Learning

Natural Language Processing

Network Systems

Software Systems

Vision, Graphics, Interaction and Robotics

Students select a track during their first semester in the program. For those interested in a plan of study beyond one of the concentration tracks, please see below.

Personalized Track 

Students must complete at least 30 points of graduate coursework as outlined below. 
 

  • Breadth coursesTrack Electives (6 points)
  • A minimum of 6 points of 6000 level graduate coursework selected from Computer Science and/or related areas in consultation with a faculty advisor

 

Core Breadth Requirement

Students are required to satisfy Breadth Requirements by taking one course from Group 1, one course from Group 2, one course from Group 3, and one more course from any of the three groups. Track courses taken at Columbia can also count towards the breadth requirement.

 

Group 1 - Systems

  • COMS W4111: Database Systems
  • COMS W4112: Database System Implementation
  • COMS W4115: Programming Languages and Translators
  • COMS W4118: Operating Systems
  • CSEE W4119: Computer Networks
  • COMS W4156: Advanced Software Engineering
  • COMS W4130: Principles and Practice of Parallel Programming
  • COMS W4180: Network Security
  • COMS W4187: Security Architecture and Engineering
  • CSEE W4824: Computer Architecture

Group 2 - Theory

  • COMS W4203: Graph Theory
  • CSOR W4231: Analysis of Algorithms I
  • COMS W4236: Introduction to Computational Complexity
  • COMS W4241: Numerical Algorithms and Complexity
  • COMS W4252: Introduction to Computational Learning Theory
  • COMS W4261: Introduction to Cryptography
  • COMS W4281: Introduction to Quantum Computing

Group 3 - Artificial Intelligence & Applications

  • COMS W4701: Artificial Intelligence
  • COMS W4705: Natural Language Processing
  • COMS W4706: Spoken Language Processing
  • COMS W4733: Computational Aspects of Robotics
  • COMS W4735: Visual Interfaces to Computers
  • COMS W4771: Machine Learning
  • COMS W4772: Advanced Machine Learning

Track Courses

Advisor-approved program of 30 points of graduate coursework. At least 6 points of 6000 level graduate courses selected from Computer Science and/or related areas together with your faculty advisor. At most three credits overall may be from "non-technical" graduate courses.

Tuition & Fees

2017 - 2018 Tuition & Fees

Please note that all tuition and fees are in U.S. dollars and are estimated. Tuition and most fees are prescribed by statute, and are subject to change at the discretion of the Trustees.

CVN Credit Tuition: $1,936 per point (Credit Hour)
CVN Fee: $395 non-refundable fee per course
Transcript Fee: $105 non-refundable one-time fee

CVN Audit Tuition: $834 per point (Credit Hour)
Graduate Admission Application Fee: $150 non-refundable one-time fee
CVN Fee: $395 non-refundable fee per course

Certification Program Application Fee: $150 non-refundable one-time fee

Late Registration Fee: $100 non-refundable fee

CVN Withdrawal Fee: $75, plus prorated tuition and all non-refundable fees

For example: A three credit course would be $5,808 + transcript fee $105 (one-time) + CVN fee $395 = $6,308

 

Payment should be mailed to:

Columbia Video Network
540 S.W. MUDD Building, MC4719
500 West 120th Street
New York, NY 10027

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