Your graduate studies immerse you in the mechanics of distributed computing, bridging advanced theory with scalable engineering practices. You will dive into high-demand domains, including container orchestration, microservices, automated CI/CD pipelines, and zero-trust security. Learning from seasoned system architects who manage massive cloud deployments and active defenses, you will move beyond fundamental concepts. By designing fault-tolerant infrastructures and deploying Infrastructure as Code (IaC), you master the core of cloud-native engineering.
Program Overview
The Master of Science in Cloud Computing Engineering equips students with the advanced technical expertise required to design, deploy, and manage highly scalable cloud infrastructures. Moving beyond foundational concepts, this program immerses you in distributed systems, cloud-native architectures, and advanced security protocols. Graduates emerge ready to architect resilient enterprise solutions, optimize system performance, and lead technical teams in a cloud-first world.
Duration
2 Years
Flexible Schedule
Format ⓘ
Flexible
On-Campus
P-Hybrid
Credits
36
Total credit hours
Transfer Credit
Up to 9
From accredited institutions
Average Class Size
18
Students per class
Your Journey Starts Here
Mastering cloud engineering requires more than theoretical knowledge; it demands hands-on experience architecting the distributed systems that power modern enterprise technology. Positioned in the vibrant tech corridor of Washington, D.C., our master’s program connects dedicated engineers with elite industry practitioners and modern cloud infrastructure. This rigorous academic track is purpose-built to elevate your technical capabilities, expand your professional network, and prepare you to drive enterprise-grade digital transformation.
ARCHITECTING THE CLOUD FRONTIER
EXPERIENTIAL ENGINEERING & LABS
Our location in the capital region surrounds you with federal tech initiatives, massive data centers, and specialized cybersecurity hubs. You will test classroom theory immediately by utilizing the Cyber Edge Innovation Hub, participating in campus build-athons, and attending regional developer summits. Rather than relying on static simulations, you will analyze active enterprise network structures and resolve complex server bottlenecks. Regular technical workshops hosted by senior cloud engineers ensure you graduate with the exact practical toolsets demanded by top tech employers.
DRIVING THE DIGITAL FUTURE
Stepping into the professional arena requires the unshakeable confidence to manage high-stakes, multi-cloud deployments and lead complex infrastructure teams. Through capstone engineering projects, you will tackle genuine technical bottlenecks, from minimizing latency in edge computing networks to automating massive database migrations across global zones. You will transition into the tech industry backed by an international network of highly skilled peers, exceptionally prepared to architect the digital backbones of tomorrow’s most innovative organizations.
Your Dream Career Awaits
At BAU, internship programs play a crucial role in linking theory and practice. These experiences allow students to work with peers to develop critical problem-solving skills, enhance technical communication, and solve complex cloud infrastructure challenges. With the introduction of the Cyber Edge Innovation Hub, students will have the opportunity to acquire powerful computing resources, work with technology experts through mentorship, and leverage experiential learning to launch their own tech venture.
$171,200
2024 Median Pay*, Cloud & Information Systems Manager
$133,080
2024 Median Pay*, Cloud Software Engineer
Other Career Opportunities: Cloud Solutions Architect • DevOps Engineer • Site Reliability Engineer (SRE) • Cloud Security Specialist • Distributed Systems Architect • Infrastructure Automation Engineer • Cloud Migration Consultant • Platform Engineer
*Source: U.S. Bureau of Labor Statistics.
Program Curriculum
Comprehensive curriculum designed for real-world business challenges
36+
Credit Hours
40+
Courses
Tuition & Financial Aid
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Financial Aid Options
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Tuition Assistance
Up to $30,000
DMV Tuition Assistance
Up to 60%
Payment Plans
0% interest
Application Deadlines
Rolling admissions with multiple intake periods throughout the year. Domestic and transfer applications may continue to be reviewed after these deadlines on a rolling basis, subject to program availability. New students must complete registration by the census date for the applicable term; otherwise, they will not be eligible to register.
Fall 2026
Spring 2027
Summer 2027
Meet Your Program Chair
In this highly connected world, technology leaders must think innovatively and act responsibly. Our faculty incorporates critical topics such as intelligent systems design, secure network architectures, and global data strategies, preparing students to make technical decisions aiming not only toward optimal system performance but also to make a positive, lasting impact on the digital environment and society.
Pipop Nuangpookka, Ph.D.
Chair of the Information Sciences and Engineering
EDUCATION
Doctor of Science in Cybersecurity
RESEARCH FOCUS
Non-Destructive Method of Detecting Hardware Attack, PII Security Controls, Web Server Protection, and Bilingual Translator Programming
HIGHLIGHTS
-
- Co-authored scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library
- Key publications include “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection”
Pipop Nuangpookka, Ph.D.
Chair of the Information Sciences and Engineering
EDUCATION
Doctor of Science in Cybersecurity
RESEARCH FOCUS
Non-Destructive Method of Detecting Hardware Attack, PII Security Controls, Web Server Protection, and Bilingual Translator Programming
HIGHLIGHTS
-
- Co-authored scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library
- Key publications include “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection”
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