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Computer Science M.S.

Master of Science
  • 30 Credits
  • School of Liberal Arts
  • Bronx
  • Manhattan
  • Online
  • Westchester
Students in computer class

Computer Science Overview

The Computer Science Master of Science degree equips students with cutting edge knowledge and tools to solve data science and software development problems. The program starts by providing fundamental computer science theories that make skilled practice possible. 

Choose from concentrations in data science or software development to pursue a career that best fits your interests. Data scientists and software developers receive comparable salaries. 

Math and Science

Career Opportunities

Students can pursue careers as:

  • Data scientists
    • Analyze data and solve problems using the scientific method
  • Software developers
    • Create user-focused apps, games and more. 

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Join us for an upcoming graduate admissions event to learn more about our Computer Science program and explore how Mercy can help you meet your goals. 

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21% Growth

Career Outcomes

Salary expected to rise 21% through 2028*

$116K Salary

Average Pay

For software developers in the New York region*

30 Credits

Total Credits to Earn Your Degree

Classes in operating systems, website administration & computer architecture
Computer Science Mercy advantage

The Mercy Advantage

  • Take courses on-campus, online or a hybrid of the two
  • The program is offered fully online
  • Full-time or part-time enrollment 
  • Complete the program in one year with full-time enrollment



Software Development

Students will graduate prepared to design, develop, test and evaluate software. 

Students are trained to be in charge of the design, development, testing, and evaluation of software. 

Data Science

Students will acquire cutting-edge skills in the mathematical methods of data science, computational data analysis, machine learning, deep learning and applications in big data.

Across industries organizations are increasingly relying on data to make decisions. To manage all this data requires expertise not only in machine learning but also programming for data science and computing methods for big data. 

Application Requirements

  • Bachelor’s Degree  - GPA  of 3.0 or higher
  • Résumé
  • Letter of  recommendation –  Applicants must submit at least one letter of recommendation from an individual qualified to assess their academic or professional qualifications for graduate study.

Applicants must demonstrate foundational knowledge in computer science, which includes proficiency in any programming language, as well as an understanding of operating systems and computer networks.

Prerequisites are deemed fulfilled under the following conditions:

  • The candidate holds a GPA of 3.0 or higher on a 4.0 scale.
  • The candidate has earned an undergraduate degree in one of the following fields: Computer Science (CS), Cybersecurity (CSEC), Computer Information Systems (CIS), Information Science (IS), Information Technology (IT), Computer Networking (CN), Computer Engineering (CE), Electrical and Computer Engineering (ECE), Electrical Engineering (EE), or a related program that covers the aforementioned courses.

Candidates whose degrees are not in the specified majors but who can demonstrate mastery of the foundational knowledge may also be considered. Acceptable proofs of competence include:

  • A certificate from the NYU Tandon Bridge program for non-STEM majors.
  • Verified coursework from accredited institutions such as universities, colleges, or community colleges.
  • Certificates from recognized online platforms like Coursera or EDX, subject to evaluation.

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Bridge Program

Mercy University has partnered with the NYU Tandon Bridge Program to provide students without a background in science or computers a path toward earning their M.S. in Cybersecurity or M.S. in Computer Science degree. 

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Frequently Asked Questions

Program can be completed full-time in one year or part-time in two years. 

Yes, faculty are always ready to help students with questions about what courses to take, the sequencing of courses, and career opportunities, including internships and cooperative education.

Yes, some evenings and weekends at the Dobbs Ferry and Bronx campuses.

You must demonstrate proficiency in English. That means reading, writing, speaking and an understanding of the spoken language at a graduate level. Proficiency will be determined by a Test of English as a Foreign Language (TOEFL) or a test(s) approved by the Dean of Graduate Studies.

Program Details & Curriculum

Foundation Courses: 9 Credits

Major Courses (based on area of specialization): 12 credits
Two Electives: 6 credits
Capstone: 3 credits

Total: 30 Credits

For a full curriculum listing visit our catalog. 


For all students in the M.S. program in Computer Science:

Students who graduate with a Master’s in Computer Science should be able to:

  1. Communicate computer science concepts, designs, and solutions effectively and professionally
  2. Develop efficient and effective algorithmic solutions to real-world problems
  3. Analyze and evaluate the complexity and computability of solutions to real-world problems

For students in the Software Development specialization:

  1. Design, develop and test complex programs

For students in the Data Science specialization:

  1. Mine, analyze, and visualize data
  2. Solve real-world problems by applying principles of computing intelligence and data analytics

Full-Time Faculty

Part-Time Faculty