Computer Science (MSCS)
Online Master of Science
Fully Online Computer Science Master’s Program
Flexible Learning Designed for Working Professionals.
The MSCS program is designed to provide both flexibility and academic rigor. Students complete coursework through an online learning environment that supports interaction with faculty and peers while allowing learners to balance professional and personal commitments.
Flexible Online Delivery
Complete coursework from any location while maintaining professional responsibilities.
Accelerated Timeline
Finish your degree in as little as two years.
Accessible Admission Requirements
Applicants from all academic backgrounds are encouraged to apply. GRE and GMAT scores are not required.
Industry-Relevant Curriculum
Courses align with rapidly growing technology sectors including AI, cybersecurity, cloud computing, and big data analytics.
Applied Learning Experience
Hands-on projects, collaborative assignments, and research activities emphasize real-world problem solving.
Industry Engagement
Partnerships with employers and industry professionals support opportunities for professional networking, credentials, and certification pathways.
Computer Science Master’s Curriculum
Graduate Coursework in AI, Cybersecurity, Data Science, and Cloud Computing
The curriculum integrates foundational computer science principles with advanced topics in emerging technology areas.
Courses Include
- Software Engineering
- Algorithms and Data Structures
- Computer Architecture and Operating Systems
- Foundations of Cloud Computing
- Introduction to Data Mining and Data Analysis
- Introduction to Artificial Intelligence and Machine Learning
- Cybersecurity Principles and Cryptography
- Advanced Deep Learning Techniques
- Big Data Technologies and Advanced Statistical Modeling and Predictive Analysis
- Ethical Hacking, Penetration Testing, and Incident Response
This combination of coursework prepares students to work across multiple domains within modern computing environments.
Skills Developed in an MS in Computer Science
Graduates of the MSCS program develop both advanced technical capabilities and professional competencies essential for modern computing roles.
Technical Skills
Students learn to:
- Design scalable software systems and distributed architectures
- Analyze large datasets and develop predictive models
- Implement machine learning and artificial intelligence solutions
- Develop and manage cloud-based computing infrastructure
- Apply cybersecurity principles to protect networks and systems
- Evaluate algorithms and computational performance
Professional Skills
Graduates also develop:
- Collaborative problem solving
- Technical communication and documentation
- Research and analytical thinking
- Ethical decision-making in computing
- Project design and management
These skills will be useful for students transitioning from other fields looking to gain foundational computer science knowledge, hands-on technical project experience, and prepare for entry into technology careers. Students from fields such as business, engineering, science, mathematics, and social sciences can apply computing expertise within their disciplines to expand career opportunities.
For individuals already working in computing or technology fields, the degree supports specialization in emerging technologies, career advancement into senior technical roles, and increased leadership and research opportunities.
Computer Science Faculty & Industry Experts
Online MS in Computer Science
Dr. Ahmed Shafee
Assistant Professor of Computer Science
Areas of Expertise
- Cybersecurity
- Machine Learning, Deep Learning, and Artificial Intelligence
- Privacy-Preserving and Robust Intelligent Systems
- Edge and Cloud Security
- Intrusion Detection and Network Security
Biography
Ahmed Shafee is an Assistant Professor in the Department of Computer Science at Adams State University, USA. He received his B.S. and M.S. degrees in Computer Engineering from Helwan University, Cairo, Egypt, in 2011 and 2018, respectively, and earned his Ph.D. in Electrical and Computer Engineering from Tennessee Tech University, USA.
His research interests lie at the intersection of machine learning, cybersecurity, and intelligent computing systems. His work focuses on robust and privacy-preserving machine learning, AI-driven cybersecurity and intrusion detection, security and privacy in edge and cloud computing, and cyber-physical system security.
Dr. Kazi Zawad Arefin
Assistant Professor of Computer Science
Areas of Expertise
- mHealth
- AI in Healthcare
- Machine Learning
- Data Science
Biography
Dr. Kazi Zawad Arefin is an Assistant Professor of Computer Science at Adams State University whose research focuses on artificial intelligence, data science, and mobile health (mHealth). He develops AI-driven, non-invasive physiological monitoring systems using smartphone sensors and machine learning to improve remote healthcare access and patient engagement, particularly in underserved communities.
Dr. Arefin earned his Ph.D. in Computer Science (2020–2025) and M.S. in Computer Science from Marquette University, and his B.S. in Computer Science and Engineering (2013–2016) from North South University, Bangladesh. He teaches across the computer science curriculum and actively mentors graduate students in research and career development.
Frequently Asked Questions
Online MS in Computer Science
No. The program welcomes applicants from all academic disciplines, including those seeking to transition into computing careers.
Yes. The MSCS program is delivered entirely online, allowing students to complete coursework from anywhere.
Students can complete the degree in as little as two years over the course of five semesters (including summer). Students begin in the Fall semester and finish in the Spring semester of their second year.
No. GRE and GMAT scores are not required.
Graduates commonly pursue careers in:
- Artificial intelligence and machine learning
- Data science and analytics
- Cybersecurity
- Cloud computing
- Software engineering
