DURATION
48 weeks
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
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EARLIEST START DATE
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STUDY FORMAT
Distance Learning
Key Summary
Scholarships
Explore scholarship opportunities to help fund your studies
Introduction
Much more than just learning to code, the Computer Science master's degree at Full Sail focuses on data structures, software engineering, software architecture, and most importantly, creative problem-solving. Students learn specialized computer science using applied programming as a part of every course.
In this program, students learn advanced skills in programming, problem-solving, and leadership that can set them apart in the job market and help propel their careers forward. Students learn to develop their own software applications and conduct graduate-level research to create an impressive portfolio of work.
Objective
The goal of the Computer Science Master of Science degree program is to provide an enriched knowledge and understanding of software-development concepts. Through project-based learning and guided research, the program curriculum will enable you to advance in the discipline and apply progressive knowledge, skills, and abilities to your efforts in software development. The program is designed to foster the development of highly trained individuals who are prepared for work in critical industry roles as well as encourage lifelong learning and critical-thinking skills through threaded research, analysis, and professional development.
We’re Different
Our degree programs are offered at a faster pace than traditional schools so that students adapt to the 24/7 nature of their industries. You’re learning more in a shorter period of time, and starting out on your professional path earlier.
Admissions
Curriculum
Course Highlights
- Advanced Artificial Intelligence - Learn techniques for designing and creating algorithms to create intelligent agents. The course covers topics like reasoning, knowledge representation, planning, expert systems, and cognitive sciences.
- Machine Learning - Explore software solutions that learn through provided data to create their own machine-learning solutions. This course includes topics like statistical supervised and unsupervised learning methods, Bayesian learning methods, and reinforcement learning.
Online Courses
Month 1
- COS540 Research Approaches in Computer Science, 3.0 Credit Hours
Month 2
- COS550 Advanced Software Engineering, 3.0 Credit Hours
Month 3
- COS560 Data Science, 3.0 Credit Hours
Month 4
- COS630 Data Visualization and Extended Reality, 3.0 Credit Hours
Month 5
- COS570 Advanced Artificial Intelligence, 3.0 Credit Hours
Month 6
- COS580 Machine Learning, 3.0 Credit Hours
Month 7
- COS590 Human-Computer Interaction, 3.0 Credit Hours
Month 8
- COS640 HCI Application Development, 3.0 Credit Hours
Month 9
- COS650 Software Project: Research, Planning, and Design, 3.0 Credit Hours
Month 10
- COS660 Software Project: Development I, 3.0 Credit Hours
Month 11
- COS670 Software Project: Development II, 3.0 Credit Hours
Month 12
- COS680 Software Project: Deployment and Professional Presentation, 3.0 Credit Hours
Total Credit Hours: 36
Please Note
This program is approved for campus and online; currently only enrolling online.