Program Overview

Computer Science, M.S.

The M.S. in computer science gives you the technical foundation to excel in high-demand fields like artificial intelligence, cloud engineering, cybersecurity, data science, and software development. You'll sharpen your algorithmic thinking, design and test software systems, and apply your skills to real-world challenges in AI, human-computer interaction (HCI), and cybersecurity.

Locations Offered

• Melbourne Campus

Why Choose Florida Tech for Computer Science?

Florida Tech offers an exceptional environment for earning your master’s in computer science. Here, you'll engage in innovative research and collaborate with internationally recognized faculty, whether you're advancing your current career, preparing for a leadership role, or planning further graduate study.

Experience Hands-on Learning

At Florida Tech, professors create a collaborative environment where mentorship and hands-on learning are central. Students work closely with faculty on coursework and research, empowering them to address complex tech challenges and innovate solutions.

Research With Experts Who Drive Innovation

At Florida Tech, you'll learn from internationally recognized faculty who are not just experts but pioneers in fields like computer security, intelligent systems, and computer vision. Their cutting-edge research shapes the future of technology, and you’ll have the chance to be part of it.

Choose a Thesis or Nonthesis Path

Students are encouraged to complete and defend a thesis. Those opting not to complete a thesis must pass a final program examination.

Careers in Computer Science

Graduates with a master’s degree in computer science find employment opportunities in nearly every market segment as technology expands into every aspect of life.

• AI specialist
• Application developer
• Cloud solutions architect
• Computer and information system manager
• Computer network architect
• Computer support specialist
• Computer systems analyst
• Data scientist
• Database administrator
• DevOps engineer
• Full-stack developer
• Information security analyst
• Machine learning engineer
• Network administrator
• Software engineer
• Web developer

Our alumni find computer science careers in all sectors of the economy and have gone on to work for companies such as:

• Electronic Arts, Inc. (EA)
• General Electric (GE)
• Google
• HP Inc.
• Hewlett Packard Enterprise (HPE)
• Microsoft
• Mozilla
• National Security Agency (NSA)
• Zynga

The Computer Science, M.S., Curriculum

This 30-credit program delivers a well-rounded, advanced education in core areas of computing, blending theory and hands-on experience to prepare graduates for success in the field.

Artificial Intelligence Specialization

Artificial intelligence is reshaping the computing landscape, and the AI specialization prepares you to lead that transformation with advanced, research-informed training.

Through this flexible specialization, you’ll explore core AI frameworks including heuristic search, automated reasoning, and adaptive systems, with hands-on experience implementing algorithms in an AI programming language.

Courses cover key areas such as supervised and unsupervised learning, neural networks, Bayesian methods, genetic algorithms, and reinforcement learning.

Related Programs

• Software Engineering, M.S.
• Cybersecurity, M.S.
• Computer Information Systems, M.S.

Established Excellence in Computer Science

Florida Tech’s advanced research labs provide students with opportunities to work on groundbreaking technologies across various fields.

The L3Harris Institute for Assured Information (L3HIAI) serves as the university’s hub for cutting-edge cyberdefense and offense, agent simulations, identity tracking, and assurance frameworks. Research extends to behavioral analysis, human-centered design, and space flight systems, emphasizing interdisciplinary collaboration.

At the Center for Advanced Data Analytics & Systems (CADAS), researchers apply AI across platforms, with expertise in machine learning for computer vision and time-series analysis. Projects span big data infrastructure in the cloud to advanced edge computing for IoT devices.

These labs offer students hands-on experience with real-world problems in cybersecurity, AI, big data, and more, positioning them at the forefront of innovation.