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MS in Cloud Computing Engineering

This is a STEM-designated program! Want to learn more? Click here for detailed information.

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PROGRAM OVERVIEW

 

COURSE DELIVERY METHOD DURATION TOTAL CREDITS TUITION PER YEAR*
ON CAMPUS 2 YEARS 36 $22,230
* For full-time course load students
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DEGREE DETAILS

The Master of Science in Cloud Computing Engineering degree is earned by completing the program course requirements of 36 credit hours (12 courses of 3 credit hours), of which 21 credits are core courses and 15 credits are elective courses. To qualify for the Master of Science in Cloud Computing Engineering degree, students must meet all core and concentration elective credit requirements.

Students should meet the following minimum requirements to qualify for a graduate degree:
Minimum Passing Grade Per Course B-CGPA 3.00
Total Required Credits 36

1. Students enrolled in the graduate program must maintain a Cumulative Grade Point Average (CGPA) of at least 3.0 out of 4.0 to qualify for the graduate degree, to remain in good standing, and to graduate.
2. The Maximum Time Frame (MTF) for completion of the graduate program is 54 credits.
3. A graduate student may transfer up to 50% of credits earned at accredited institutions.

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PROGRAM OUTCOMES

  1. Understand the theories, methodologies, and trends used in cloud computing and on-premises infrastructure.
  2. Apply the foundation and principle of cloud engineering to create cloud solutions that can overcome digital challenges.
  3. Utilize advanced digital tools for managing, designing, implementing, analyzing, migrating, and enhancing digital and business processes in various domains and industries.
  4. Integrate new and advanced technological disciplines into cloud development, such as artificial intelligence, data mining, machine learning, the Internet of Things (IoT), etc., to leverage cloud computing processes and extend an organizational IT environment.
  5. Implement reliable and cost-effective cloud infrastructure and data storage to ensure usability, availability, integrity, and security using multiple technologies.
  6. Communicate effectively orally and in writing with technical and non-technical stakeholders regarding computing solutions, project management, and ethical considerations to information systems decisions.
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COURSES IN THE DEGREE

CLOUD COMPUTING ENGINEERING:
COURSE LISTING

Core Requirements: 21 Credits (7 courses)

Course Code Course Pre-requisites Credits
BGDA 511 Big Data Analytics CMPS 514 3
CAPS 623 Internship All Cores 3
CMPS 514 Management Information Systems   3
CMPS 525 Cloud Computing and Infrastructure   3
CMPS 565 Cloud Data Storage Management   3
CMPS 625 Cloud Security CMPS 525 3
CMPS 640 Cloud System Administrator and Architect CMPS 525 3

Electives: 18 Credits (Choose 6 Courses)

Course Code Course Pre-requsites Credits
BGDA 510 Data Mining CMPS 514 3
BGDA 513 Artificial Intelligence BGDA 511 3
BGDA 521 Business Intelligence   3
BGDA 552 Big Data Analytics and Cloud Computing CMPS 511  
CMPS 515 Network Security & Cryptography CMPS 514 3
CMPS 520 Database Design Concepts   3
CMPS 524 Computer Networks and Mobile Communications CMPS 514 3
CMPS 530 Machine Learning and Pattern Recognition BDGA 522
or CMPS
516
3
CMPS 564 Information Security Management CMPS 515 3
CMPS 570 Software Design and Architecture CMPS 564 3
CMPS 627 Wireless Sensor Network CMPS 524 3

* For detailed descriptions of each course, please visit the BAU 2024-2025 Academic Catalog.

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PROGRAM BENEFITS

BAU’s Master of Science in Cloud Computing Engineering leads to career paths as a system and data administrator for a cloud computing environment. The primary benefit of this program is that students gain theoretical knowledge, practical aspects, and hands-on experiences in managing network infrastructure and data resources, which will provide them with intensive skills to pursue various career positions in cloud computing technology.

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CAREER OPPORTUNITIES

The program will prepare students for career positions such as cloud engineer, cloud architect, cloud analyst, cloud administrator, cloud developer, software engineer, network architect, etc. The market for the workforce in the industry, commercially and academically, is continually growing worldwide, which places our graduates in very high demand. BAU is located in one of the largest areas for a collection of technology and cloud provider companies, which graduates will tremendously benefit from while they pursue their degrees for experiences and after graduation for job opportunities.​

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READY TO APPLY?

  START DATE DEADLINE TO APPLY
SUMMER SESSION MAY APRIL 1
FALL SEMESTER AUGUST JULY 1
SPRING SEMESTER JANUARY OCTOBER 1

OUR PRACTITIONER-DRIVEN TEACHING
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