Computer Science M.S.
Design new computer technologies and apply them to the world's hardest problems, in a STEM-designated program built around your career.
The Manhattan University graduate program in computer science develops the in-demand technical skills needed to reach leadership positions in industry, business, government, and beyond. The career-focused curriculum covers four core areas: the analysis of algorithms, databases, computer networks, and operating systems, alongside advanced electives in the fields driving modern computing. Study fully online, on campus near the heart of New York City, or in a blend of both, and graduate ready to lead or to pursue a Ph.D.
This program is part of Computer Science
The Manhattan Advantage
Why Study Computer Science at Manhattan University?
Computers are vital to nearly every industry today, from banking and communication to film production and transportation, and new jobs are rapidly emerging. At Manhattan University, the computer science graduate program develops depth of knowledge across all aspects of the field, from the theoretical foundations of computing to its most advanced applications. And in the age of AI, our students learn to design intelligent tools rather than compete with them, using AI to boost their own productivity in algorithm and software design. The result is a graduate prepared not only as a highly skilled computing professional, but as a responsible and responsive member of society committed to making the world better.
30
Credit Hours
1-2 Years
Time to Complete
Flexible
Take classes fully online or campus.
$141K+
Median annual wage for computer and information research scientists, May 2024 (master's-level role)
The Graduate Experience
Tackle Computational Challenges in a Supportive Community
Every student in the program works closely with a professor on original work, choosing either a two-semester master's thesis worth six credits, equivalent to two electives, or a one-semester project worth three credits, equivalent to one elective. It is a chance to go deep on a problem that matters to you, apply the most advanced methods in the field, and produce results worth sharing.
Students who complete a master's thesis are eligible to present their findings at top-ranked international conferences, and Manhattan University students have done exactly that, presenting at the IEEE World Congress on Computational Intelligence, the IEEE International Conference on Data Stream Mining and Processing, and international conferences on cybersecurity. Whether you intend to step into a leadership role in industry or continue toward a Ph.D., the thesis or project is where your graduate study comes together.
Academics
Curriculum & Courses
The M.S. in Computer Science is a 30-credit program built on twelve credits of required core courses and eighteen credits of electives, plus an optional thesis or project. The core grounds you in the foundations of modern computing, while electives let you specialize in the areas driving the field today.
To view the whole curriculum, please visit Manhattan University's academic catalog.
- Design and Analysis of Algorithms
- Database Systems
- Computer Networking
- Operating Systems
- Artificial Intelligence
- Neural Networks and Learning Systems
- Data Mining
- Software Engineering
- Cryptography and Security
- Cloud Computing and Virtualization
- Image Processing and Analysis
- Linux Kernel Programming
- Embedded Systems
- Master Thesis/Project
Facilities & Technology
From Brand New Labs to Supercomputers
In 2025, the department completed a major renovation of the first floor of Hayden Hall, the home of computer science on campus. Every computer science course is taught in one of three brand-new computer labs, each equipped with all-new machines, including one lab outfitted with high-performance computers. Beyond the classroom, a renovated departmental common area serves as an additional workspace where students collaborate on projects and use the extra computers installed there.
The Kakos Center for Scientific Computing
Working on their projects, students may also use the unique resources of the Kakos Center for Scientific Computing, equipped with supercomputers, the kind of computing power few undergraduate programs can put in students' hands.
Learn From Leaders in the Field
Computer science faculty at Manhattan University are widely published, active researchers and committed mentors who teach every course in the program. Their work spans artificial intelligence, machine learning, cybersecurity, cryptography, cloud computing, and image processing and recognition, with publications in leading international journals, including IEEE journals, and presentations at major international conferences. In this program, faculty get to know you and help you connect with the research and job opportunities that suit your interests, the kind of individual attention a small, tight-knit graduate community makes possible.
Why Study in New York City
New York City is one of the world's great centers of computing, where finance, media, security, transportation, and a thriving startup economy all compete for technical talent. Studying computer science at Manhattan University connects you to that world through faculty who work and research at its edge, an alumni network embedded in the city's technology sector, and coursework grounded in the problems these employers are solving right now. Since the program launched in 2018, graduates have gone on to work for Google, Con Edison, Amazon, Microsoft, and other leading companies, and several alumni now serve on the Computer Science department's advisory board.
Whether you study fully online or in a low-residency format, you join a university community and alumni network rooted in the city's professional life, and you graduate with a perspective shaped by one of the world's most demanding and dynamic markets.
The Kakos School of Arts and Sciences
The Kakos School of Arts and Sciences is the largest of Manhattan University's three schools, offering 33 undergraduate majors, six graduate programs, and six combined degrees across the humanities, natural and social sciences, and professional fields. Grounded in the University's Lasallian Catholic mission and located near the heart of New York City, the School pairs rigorous academics with small classes, close faculty mentorship, and real-world experience throughout the five boroughs and beyond. That foundation delivers: Manhattan University ranks in the top 3% nationally for salary impact (Wall Street Journal, 2026), a measure of how strongly a degree here translates into graduates' career earnings.
Potential Careers
An M.S. in Computer Science gives you an advantage whether you are aiming for a senior industry role or a doctoral program. Through advanced electives, you build depth in the areas of modern computing that employers most want, and you graduate ready for some of the fastest-growing, highest-paying roles in the economy. Since the program launched in 2018, Manhattan University graduates have gone on to work for companies including Google, Con Edison, Amazon, and Microsoft, and to pursue doctoral study.
- Cryptography and Security
- Cybersecurity Analyst
- Cloud Computing
- Artificial Intelligence (AI)
- Neural Networks & Machine Learning
- Data Mining
Program Costs & Financial Aid
Manhattan University is committed to making a high-quality, career-focused graduate education accessible and affordable. Graduate students may qualify for assistantships, scholarships, and federal aid that significantly reduce the overall cost of attendance.
- View Tuition & Fees
- View Graduate Assistantships
- Explore Scholarships Scholarships
- View Graduate Federal Aid and Grants
A Manhattan University education is an investment in your future, and we are dedicated to helping you access the resources that make it possible.
Admissions Information for Manhattan University
Start Your Journey in Computer Science
Applying to Manhattan University is designed to be clear and accessible. Review the requirements below to take the next step toward your degree.
To apply, you will need:
- Bachelor's degree in computer science from an accredited college or institution. Applicants who possess a degree in a related field may inquire directly with the program director regarding eligibility.
- GPA average of 3.00 out of 4.0 or equivalent.
- The following documents are required when applying, along with a $75 non-refundable application fee.
- Online application
- Official Transcript(s)
- Written statement of interest in the program describing goals and objectives
- Two letters of recommendation from academic sources who can attest to the mathematical and overall academic ability of the applicant. Manhattan University graduate program directors cannot be used as references for your application.
Prepare for the Real World
At Manhattan University, your education is built around who you are and where you want to go. Whether you’re ready to apply or just starting to explore, take the next step when you’re ready — we’re here to help.