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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

Introduction to the MS in Computer Science Program

The MS in Computer Science at Pace University is a 30-credit program built on a core of algorithms and computing theory, internet and web computing, grid and cloud computing, and database systems. This master's program prepares students to keep ahead of the latest technologies for an exciting new career or to make a change in their current area.


Program Overview

The MS in Computer Science is a flexible program that offers both in-person classes at the NYC campus and an online experience.


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, but grades earned are computed into the student's QPA.


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

Core Requirements

The core requirements for the MS in Computer Science program consist of 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

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
  • CS 696G Topic: Generative AI 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 or Capstone Thesis

Students are required to select one of the following options: the Computer Science Project (3 credits, taken in the last semester) or Computer Science Thesis (6 credits, taken in the last two 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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