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Masters

Computer Science, MS

Pace University
New York , United States
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Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Blended
Duration
30 credits
Details
About Program
About University
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Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Computer Science | Data Science
Area of study
Information and Communication Technologies
Education type
Blended
Course Language
English
About Program

Program Overview

Computer Science, MS

The 30-credit Computer Science, MS is built on a core of algorithms and computing theory, internet and web computing, grid and cloud computing, and database systems. Students preparing to keep ahead of the latest technologies in their current careers or change focus to a new field can complete the program online or opt for an on-campus experience.


MS in Computer Science

The MS in Computer Science is a 30-credit program.


Bridge Course

Entering students with limited or no previous background in computer science or programming are required to take CS 505 Introduction to Computer Science with Java. This course does not count toward the degree, however grades earned are computed into the student's QPA.


  • Course List Code: CS 505
  • Title: Introduction to Computer Science with Java
  • Credits: 4
  • Total Credits: 4

Core Requirements (12-15 Credits)

  • Course List Code: CS 604
  • Title: Computer Systems and Concepts 1
  • Credits: 3
  • Course List Code: CS 608
  • Title: Algorithms and Computing Theory
  • Credits: 3
  • Course List Code: CS 610
  • Title: Introduction to Parallel Computing
  • Credits: 3
  • Course List Code: CS 612
  • Title: Concepts and Structures in Internet Computing
  • Credits: 3
  • Course List Code: CS 623
  • Title: Database Management Systems
  • Credits: 3

Electives (9-15 Credits)

Students will choose courses from the current Computer Science academic catalog for a total of 9-15 credits. These can be any 600-799 level course, including:


  • CS 627 Artificial Intelligence
  • CS 641 Mobile Web Content and Development
  • CS 671 Computer Vision
  • CS 675 Introduction to Data Science
  • CS 677 Machine Learning Students can take up to 1 non-CS graduate level Seidenberg or Lubin MBA Foundation courses as an elective, with approval of an Academic Advisor or the Department Chair.

Capstone Project (3 credits) or Capstone Thesis (6 credits)

Students are required to select one of the following options: the Computer Science Project (3 credits - last semester) or Computer Science Thesis (6 credits, last 2 semesters). Pursuing a Thesis requires the student to work on a research project under the supervision of a professor.


  • Course List Code: CS 691
  • Title: Computer Science Capstone Project
  • Credits: 3
  • Course List Code: CS 693
  • Title: Thesis I
  • Credits: 3
  • Course List Code: CS 694
  • Title: Thesis II
  • Credits: 3
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