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Program Overview
Enterprise technology does not survive on generic hosting—it demands resilient, fault-tolerant cloud architecture. The Master of Science in Cloud Computing Engineering equips technical professionals to design, orchestrate, and govern high-availability distributed systems at scale. Moving decisively beyond introductory systems administration, the curriculum immerses engineers in multi-cloud infrastructure, container orchestration, Infrastructure as Code (IaC), and zero-trust security postures. Graduates emerge prepared to architect enterprise-grade cloud solutions, eliminate latency bottlenecks, and direct engineering teams in a cloud-first global economy.
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 infrastructure requires more than managing instances—it demands deep architectural command over distributed systems. Positioned in Washington, D.C., steps from federal tech initiatives, defense communications corridors, and enterprise cloud networks, Bay Atlantic University connects engineers directly to the systems powering modern digital enterprise. Here, the capital’s infrastructure isn’t context—it’s coursework.
01
ARCHITECTING THE CLOUD FRONTIER
Resilient cloud architecture is built through code, not manual configuration. The graduate curriculum transitions students immediately past fundamental networking into automated, production-grade cloud environments: distributed systems theory, microservices architecture, automated CI/CD pipelines, container orchestration, and zero-trust defensive frameworks. Students master declarative Infrastructure as Code (IaC) to provision fault-tolerant environments capable of dynamic auto-scaling and zero-downtime failover. Guided by scholar-practitioners who manage massive cloud deployments and critical enterprise infrastructure, you develop the systems discipline required to engineer enterprise cloud ecosystems from the ground up.
02
EXPERIENTIAL ENGINEERING & LABS
Classrooms should function like live network operations centers, not passive lecture halls. Inside the CyberEdge Innovation Hub, graduate students pressure-test cloud topologies against real-world latency, failover conditions, and security breaches. Rather than analyzing static simulations, students troubleshoot live cluster deployments, resolve high-throughput server bottlenecks, and participate in regional build-athons and developer summits like DevFest DC. Instruction is led by practicing senior cloud architects, ensuring your engineering toolchains reflect current enterprise standards, not outdated textbooks.
03
DRIVING THE DIGITAL FUTURE
Advanced engineering education should accelerate a career, not delay it. Through intensive graduate capstone engagements, candidates take complete architectural ownership of complex engineering hurdles—from orchestrating distributed edge networks to automating massive multi-region database migrations. Backed by NECHE accreditation and an international network representing more than 40 countries, BAU graduates enter the tech industry prepared to command senior technical roles as Principal Cloud Architects, DevOps Engineers, and Cloud Infrastructure Directors.
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.
$175,140
2025 Median Pay*, Cloud & Information Systems Manager
$134,040
2025 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.
Explore Career ServicesTake the First Step
Program Curriculum
Comprehensive curriculum designed for scalable cloud infrastructure 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.
Open
Spring 2027
Start Date
January 19, 2027
Deadline to Apply
December 1, 2026
Coming Soon
Summer 2027
Start Date
June 1, 2027
Deadline to Apply
April 1, 2027
Future
Fall 2027
Start Date
August 18, 2027
Deadline to Apply
July 1, 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”
