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  • MS in Computer Science

    Overview

    Drexel University’s accredited online Master of Science in Computer Science offers career-oriented course work that places equal emphasis on theory and practice to prepare students for work on the cutting edge of technology. The program fosters an in-depth understanding of core and advanced topics, teaching students how to use the latest tools to model and solve real world problems. The curriculum provides a solid foundation and training for practicing computational scientists, computer specialists and software engineers looking to advance their careers in business, industry or government.

    Faculty interests and expertise include: applied algorithms and data structures, artificial intelligence and intelligent systems, cognitive modeling, computer graphics, computer science education, computer vision, distributed systems, high performance computing, human-computer interaction, networking and security, scientific computation, and software engineering.

    Program Features

    • Rigorous study in computer science with courses covering topics essential for today's practicing professional
    • An experienced faculty comprised of successful computer science professionals recognized nationally for their professional achievements and scholarly work
    • A highly interactive curriculum designed to challenge and engage students, yet remain flexible and convenient for busy working professionals
    • Electives may be chosen from courses in Electrical Engineering, Information Science and Technology, and other Drexel departments to diversify students’ skill set

    Curriculum

    General Requirements

    Students must complete a minimum of 45.0 graduate credits for the MS degree. All students are required to submit a plan of study form with the Graduate Advisor at the beginning of their studies. Significant changes to the plan of study should be discussed with the Graduate Advisor.

    Precore Classes

    Precore classes are graduate level courses, but are not considered graduate level CS courses. These courses only count towards the degree requirement listed below as free electives with approval from the Graduate Coordinator. Precore courses are intended for students without adequate CS background. The material in these courses is considered prerequisite knowledge for all other graduate CS courses.

    • CS 520 Foundations of Computer Science
    • CS 571 Programming Tools and Environments

    Degree Requirements

    Required Courses 
    CS 521Data Structures and Algorithms I3.0
    CS 525Theory of Computation3.0
    CS 550Programming Languages3.0
    Flexible Core9.0
    Select three of the following courses: 
    CS 510
    Introduction to Artificial Intelligence 
    CS 522
    Data Structures and Algorithms II 
    CS 530
    Developing User Interfaces 
    CS 536
    Computer Graphics 
    CS 540
    High Performance Computing 
    CS 543
    Operating Systems 
    CS 544
    Computer Networks 
    CS 567
    Applied Symbolic Computation 
    CS 576
    Dependable Software Systems 
    CS 583
    Introduction to Computer Vision 
    Breadth Requirements 9.0
    In addition, all students are required to take an additional three (3) breadth requirement electives, developing background knowledge in an area of particular interest. These courses are organized into the following seven areas.  
    Students must take courses from at least three different areas. Some additional courses, such as Special Topics, may count toward the Breadth Requirement. Contact the Graduate Advisor for more information regarding substitutions. 
    Artificial Intelligence and Robotics 
    CS 510
    Introduction to Artificial Intelligence 
    CS 511
    Robot Laboratory 
    CS 610
    Advanced Artificial Intelligence 
    CS 612
    Knowledge-based Agents 
    CS 613
    Machine Learning 
    Algorithms and Theory  
    CS 522
    Data Structures and Algorithms II 
    CS 620
    Advanced Data Structure and Algorithms 
    CS 621
    Approximation Algorithms 
    CS 623
    Computational Geometry 
    CS 676
    Parallel Programming 
    CS 680
    Special Topics in Computer Science 
    Computer Graphics and Vision 
    CS 536
    Computer Graphics 
    CS 583
    Introduction to Computer Vision 
    CS 634
    Advanced Computer Vision 
    CS 636
    Advanced Computer Graphics 
    CS 637
    Interactive Computer Graphics 
    Human Computer Interaction  
    CS 530
    Developing User Interfaces 
    CS 630
    Cognitive Systems 
    CS 631
    HCI: Computing Off The Desktop 
    Numeric and Symbolic Computation  
    CS 540
    High Performance Computing 
    CS 567
    Applied Symbolic Computation 
    CS 668
    Computer Algebra I 
    CS 669
    Computer Algebra II 
    Programming Languages and Compilers  
    CS 551
    Compiler Construction I 
    CS 552
    Compiler Construction II 
    CS 650
    Program Generation and Optimization 
    CS 676
    Parallel Programming 
    Software Engineering  
    CS 575
    Software Design 
    CS 576
    Dependable Software Systems 
    CS 675
    Reverse Software Engineering 
    CS 780
    Advanced Topics in Software Engineering 
    Systems  
    CS 500
    Database Theory 
    CS 543
    Operating Systems 
    CS 544
    Computer Networks 
    CS 643
    Advanced Operating Systems 
    CS 645
    Network Security 
    CS 647
    Distributed Systems Software 
    CS 741
    Computer Networks II 
    CS 751
    Database Theory II 
    Computer Science Depth Requirement6.0
    MS students are required to complete at least two Computer Science (CS) courses beyond the breadth requirement. These courses should be 600 or 700-level courses. The CS 690 Independent Study course may be taken, if approved by the Department's Graduate Advisor. 
    CS 690
    Independent Study in Computer Science 
    Additional Graduate-Level Courses6.0
    Two additional graduate level courses are required. These courses may come from either the 600 or 700 level Computer Science (CS) courses. In addition, courses may be taken from outside the department, if on the list of approved external courses, and may include CS 690 Independent Study and CS 997 Research in Computer Science, if approved by the graduate advisor.  
    CS 690
    Independent Study in Computer Science 
    CS 997
    Research in Computer Science 
    CS 520 and CS 571 may only be used to fulfill the additional course requirement with permission of the Graduate Committee. Any course not explicitly listed above, including independent study and research courses, must be approved by the Department's Graduate Advisor.  
    CS 520
    Computer Science Foundations 
    CS 571
    Programming Tools and Environments 
    Other courses, such as intermediate 500-level and special topics, that the department offers may qualify for fulfilling this requirement. Students must check with the department to see if this is the case, and have these courses approved by the Graduate Committee. Any course offered by other departments that is not on the list of approved external courses must be approved by the Department's Graduate Advisor, or it will not count towards the degree. 
    Thesis or Non-Thesis Option6.0
    Thesis Option 
    Usually students pursuing a Master's Thesis will first do 3.0 research credits (CS 690 or CS 997) to obtain background knowledge required by the thesis topic. It is the responsibility of the student to find a thesis supervisor.  
    CS 690
    Independent Study in Computer Science 
    CS 997
    Research in Computer Science 
    CS 898
    Master's Thesis 
    Non-thesis Option 
    The non-thesis option requires two additional 600 or 700 level Computer Science (CS) courses taken in place of the 6.0 thesis credits.  
    600 or 700-level Courses
     
    Total Credits45.0

    View Course Descriptions

    Admissions Criteria

    • A four-year bachelor's degree in computer science, engineering or the physical sciences from a regionally accredited institution in the United States or an equivalent international institution
    • A minimum cumulative grade point average of 3.0 for the last two years of undergraduate work
      • If any other graduate work has been completed, the average GPA must be at least 3.0
    • Your academic background should closely match the program's pre-requisites

    Required Documents

    With multiple ways to submit documents, Drexel makes it easy to complete your application. Learn more by visiting our supporting document submission guide.

    • A completed application
    • Scores from the General Aptitude Test of the GRE
      • Scores in the 50th percentile or above in all three sections are sought
    • Official transcripts from all universities or colleges and other post-secondary educational institutions (including trade schools) attended
    • Two professional letters of recommendation
    • A 500 word essay on why you wish to pursue the program
    • Resume
    • Additional requirements for International Students

    Tuition

    The tuition rate for the academic year 2015-2016 is $1157 per credit.

    This rate applies only to new online matriculated students. Students receiving special tuition plans with Drexel Online may not combine them with other tuition benefits that may be available from Drexel University.

    This program is eligible for Financial Aid. We also offer tuition reduction through our network of partner companies and organizations, and for Drexel University alumni and those in the military.

     

    Academic Calendar

    Term 
    Classes Begin 
    Classes End 
    Exams Begin 
    Exams End 

    Fall 2015     

    September 21, 2015

    December 5, 2015

    December 7, 2015

    December 12, 2015

    Winter 2016 

    January 4, 2016

    March 14, 2016

    March 15, 2016

    March 19, 2016

    Spring 2016 

    March 28, 2016

    June 6, 2016

    June 7, 2016

    June 10, 2016

    Summer 2016 

    June 20, 2016

    August 29, 2016

    August 30, 2016

    September 3, 2016

    Apply today for a MS in Computer Science

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