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1 year full-time
Online - Yes
Online - Yes
View full entry requirements
View full entry requirements
MSCS
Master of Science in Computer Science
The Master of Science in Computer Science at Glenmore University in Jacksonville, Florida, is an advanced online graduate program that equips students with the knowledge and technical expertise to succeed in the fast-evolving technology landscape. Designed for ambitious professionals in Jacksonville, across the U.S., and around the world, this program delivers a comprehensive foundation in computational theory, emerging technologies, and practical innovation to solve modern industry challenges.
Built for working adults and career changers aiming to advance in technology-driven roles or specialize in high-demand fields, the program offers an ideal balance between academic rigor and real-world application. Students participate in interactive online coursework, hands-on coding projects, and industry-based case studies that mirror current trends across sectors like software engineering, cybersecurity, artificial intelligence, and data science.
Location Advantage – Study 100% online from Jacksonville, Florida, with networking opportunities across the U.S. and globally.
Specialized Pathways – Choose concentrations such as Artificial Intelligence, Data Analytics, Cybersecurity, or Software Development.
Practical Experience – Real-world projects aligned with innovation trends in U.S. tech hubs including Jacksonville, Miami, Atlanta, Austin, and Silicon Valley.
Career-Focused Learning – Build the technical and leadership skills to excel in roles like software engineer, data scientist, or IT strategist.
With an emphasis on innovation, information security, AI, and data-driven decision-making, Glenmore University’s M.S. in Computer Science prepares graduates to lead technology initiatives, contribute to research and development, and drive digital transformation across industries worldwide.
Upon successful completion of the MSCS program at Glenmore University, students will be able to:
Apply advanced computing principles to develop efficient, scalable software solutions using algorithms, programming languages, and software engineering methodologies.
Identify and mitigate cybersecurity threats utilizing cryptographic techniques and modern risk assessment frameworks.
Design intelligent systems leveraging artificial intelligence and machine learning models to address complex organizational problems.
Analyze and interpret big data using advanced analytics tools for data-driven decision-making.
Develop distributed and cloud-based architectures that power modern digital ecosystems.
Collaborate effectively in project teams, demonstrating strong technical communication and project management skills.
Pursue lifelong professional development through continuous learning and innovation in the evolving field of computer science.
Global Online Accessibility – Earn your MSCS degree online from anywhere in the world while connected to Glenmore University’s academic community in Jacksonville, Florida.
Career-Focused Curriculum – Courses are designed in consultation with technology leaders to ensure alignment with industry standards and emerging trends.
Hands-On Learning – Students engage in applied research and real-world projects that enhance employability and practical expertise.
Expert Faculty – Learn from experienced professors and industry practitioners dedicated to advancing computer science education and technology innovation.
A Master of Science in Computer Science from Glenmore University opens doors to a variety of advanced career opportunities:
Computer and Information Research Scientist
Engages in the exploration and development of new computing technologies and methodologies, pushing the boundaries of existing knowledge in the field.
Data Scientist
Utilizes statistical methods and machine learning techniques to analyze complex data sets, aiding organizations in making informed, data-driven decisions.
Machine Learning Engineer
Designs and implements algorithms that enable machines to learn from data, improving the performance of artificial intelligence applications.
Software Engineer
Develops and maintains software applications, ensuring they are efficient, reliable, and meet user needs.
Computer Systems Analyst
Evaluate and enhance computer systems and procedures, ensuring optimal performance and alignment with organizational objectives.
Information Security Analyst
Focuses on protecting an organization’s computer systems and networks by implementing security measures and responding to cyber threats.
Database Administrator
Manages and organizes data using specialized software, ensuring data integrity, security, and accessibility for authorized users.
Network Architect
Design and build data communication networks, such as local area networks (LANs) and wide area networks (WANs), to support organizational operations.
IT Project Manager
Oversees technology projects, coordinating between teams to ensure projects are completed on time, within scope, and aligned with business goals.
Computer Science Professor
Educates the next generation of computer scientists, conducting research and teaching at academic institutions.
Tuition per Credit Hour: US$350
Total Tuition: US$12,600
At Glenmore University, the Master of Computer Science program is designed to combine academic excellence with real-world application, giving students the flexibility and skills needed to succeed in a fast-changing digital world.
Global Online Accessibility – Earn your MSCS degree online from anywhere in the world while connected to Glenmore University’s academic community in Jacksonville, Florida.
Career-Focused Curriculum – Courses are designed in consultation with technology leaders to ensure alignment with industry standards and emerging trends.
Hands-On Learning – Students engage in applied research and real-world projects that enhance employability and practical expertise.
Expert Faculty – Learn from experienced professors and industry practitioners dedicated to advancing computer science education and technology innovation.
In this program, you will explore advanced computer science topics, including artificial intelligence, data science, cybersecurity, cloud computing, and software engineering. The curriculum combines theoretical foundations with practical applications, preparing you to solve complex challenges and lead innovation in the tech industry.
The purpose of Glenmore University’s Master of Science in Computer Science program is to provide an industry-driven, research-oriented education that prepares graduates to solve complex computational problems, drive innovation, and make an impact on a global scale.
This program is designed to:
Build a robust foundation in advanced computer science principles and real-world applications.
Develop the ability to design, implement, and evaluate innovative computing solutions.
Foster adaptability to emerging technologies and rapidly shifting industry demands.
Strengthen ethical awareness and responsible technology development practices
Prepare graduates for leadership positions in technology companies, research institutions, and academia.
Course Number | Course Title | Credit Hours | Clock Hours (If Applicable) | Services (If Applicable) |
SWE601 | Software Engineering | 3 | ||
CSC602 | Advanced Computer Architecture | 3 | ||
| AIM610 | Introduction to Artificial Intelligence | 3 | ||
CSC603 | Design and Analysis of Algorithms | 3 | ||
CSC604 | Distributed Operating System Principles | 3 | ||
CYB620 | Network Security | 3 | ||
| CYB630 | Cybersecurity Risk Management | 3 | ||
AIM620 | Machine Learning | 3 | ||
DAT620 | Big Data Analytics | 3 | ||
CSC630 | Cutting-Edge Technologies | 3 | ||
CYB611 | Cryptography | 3 | ||
CSC699 | Capstone Project | 3 | ||
TOTAL CREDIT HOURS | 36 |
TEXTBOOKS/LEARNING RESOURCES:
|
Title: Computer Architecture: A Quantitative Approach Authors: John L. Hennessy, David A. Patterson Edition: 6th Edition Publisher: Morgan Kaufmann Publication Date: December 4, 2020 |
Title: Introduction to Algorithms Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein Edition: 4th Edition Publisher: MIT Press Publication Date: April 5, 2022 |
Title: Distributed Systems: Principles and Paradigms Author: Andrew S. Tanenbaum, Maarten Van Steen Edition: 2nd Edition Publisher: Pearson Publication Date: 2007 |
Title: Network Security Essentials: Applications and Standards Author: William Stallings Edition: 6th Edition Publisher: Pearson Publication Date: February 14, 2020 |
Title: Pattern Recognition and Machine Learning Author: Christopher M. Bishop Edition: 1st Edition Publisher: Springer Publication Date: August 17, 2006 |
Title: Big Data: Principles and Best Practices of Scalable Real-Time Data Systems Authors: Nathan Marz, James Warren Edition: 1st Edition Publisher: Manning Publications Publication Date: January 3, 2015 |
Title: Software Engineering Author: Ian Sommerville Edition: 10th Edition Publisher: Pearson Publication Date: 2015 |
Title: Artificial Intelligence: A Modern Approach Authors: Stuart Russell and Peter Norvig Edition: 4th Edition Publisher: Pearson Publication Date: 2020 |
Title: Cryptography and Network Security: Principles and Practice Author: William Stallings Edition: 8th Edition Publisher: Pearson Publication Date: 2020 |
Title: Distributed Systems: Principles and Paradigms Author: Andrew S. Tanenbaum, Maarten Van Steen Edition: 2nd Edition Publisher: Pearson Publication Date: 2007 |
Title: Artificial Intelligence: A Guide for Thinking Humans Author: Melanie Mitchell Edition: 1st Edition Publisher: Farrar, Straus and Giroux Publication Date: October 15, 2019 |
Title: Managing Risk in Information Systems Author: Darril Gibson Edition: 3rd Edition Publisher: Jones & Bartlett Learning Publication Date: January 25, 2021 |
To be eligible for the Master of Science in Computer Science program at Glenmore University, applicants must meet the following criteria:
For any inquiries about the Master of Computer Science program or admissions, please reach out to us:
Email: info@glenmore.university
Our team is happy to assist you with program details, application guidance, and any other questions you may have.
The Master of Computer Science at Glenmore University is designed to equip students with advanced knowledge and practical skills in today’s technology-driven world. Through a fully online curriculum, students explore core areas like AI, data science, cybersecurity, cloud computing, and software engineering.
With flexible learning, hands-on projects, and expert guidance, the program prepares graduates to excel in global tech careers, lead innovation, and tackle complex computing challenges.
Applying to the Master of Computer Science program at Glenmore University is simple and fully online:
Visit the Application Portal – Access the online application form on the Glenmore University website.
Submit Required Documents – Include your academic transcripts, CV/resume, English proficiency proof (if applicable), and a statement of purpose.
Complete the Application – Fill in your personal details, upload documents, and submit the form.
Application Review – The admissions team will evaluate your submission and notify you of the outcome.
Enrollment – Upon acceptance, follow the instructions to pay tuition and begin your online studies.
For questions or support, contact us at info@glenmore.university.
The Master of Computer Science at Glenmore University is a rigorous online graduate program that builds advanced theoretical foundations and hands-on technical expertise for careers in modern computing and technology leadership.
The program is designed for graduates and working professionals who want to deepen their computer science skills, transition into advanced technical roles, or move into technical leadership in a rapidly evolving digital economy.
The Master of Computer Science is offered by Glenmore University in Jacksonville, Florida, and is delivered fully online to students in Florida, across the United States, and internationally.
Students develop strong foundations in core computer science concepts while building advanced skills in areas such as programming, software engineering, artificial intelligence, data analytics, and cybersecurity, depending on course selection.
The curriculum blends advanced theory with practical, project-based work so students learn how to apply computing principles to real-world problems in industry and innovation settings.
Students complete hands-on projects that may include designing software systems, experimenting with AI and data-driven models, implementing secure applications, and building solutions that reflect real industry challenges.
Yes, the Master of Computer Science is delivered fully online using Glenmore University’s asynchronous learning model, so students can complete the degree from anywhere with an internet connection.
Asynchronous learning means you access recorded lectures, readings, labs, and discussions on your own schedule each week, while meeting assignment and project deadlines set by the instructor.
The online, flexible structure is specifically designed to support working professionals who need to balance full-time employment, family, and other commitments alongside graduate study.onlinedegrees.
Applicants typically need a bachelor’s degree and prior exposure to computing—such as programming and data structures—or closely related quantitative preparation that shows readiness for advanced computer science work.
A prior degree in computer science or a related field is preferred, but applicants from other disciplines may be considered if they demonstrate sufficient programming experience and quantitative skills, possibly with bridging or foundational coursework.
To apply, prospective students complete Glenmore University’s online application, upload academic transcripts and supporting documents, and follow the guided admissions steps from submission through enrollment.
Yes, Glenmore University welcomes qualified international applicants to the online Master of Computer Science, provided they meet academic and English-language requirements for graduate study.
Graduates are prepared for roles such as software engineer, software developer, data or AI specialist, systems architect, technical lead, and other advanced positions in the technology sector and digital-first organizations.
The program equips students with advanced technical skills, problem-solving ability, and leadership-ready knowledge that support career advancement, specialization in high-demand areas, and adaptability to future technology shifts
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