The BSc in Cloud Computing and Internet of Things (CCIoT) program has been meticulously curated by academic experts to provide students with a comprehensive understanding of the principles and features inherent in both cloud computing and the Internet of Things. With a focus on advancing knowledge in these fields, the program is structured to equip students with a robust foundation and cultivate systematic professional expertise along with strong practical skills in IT and computing. This dynamic combination ensures graduates are well-prepared for a myriad of applications within Cloud Computing and the Internet of Things.
Emphasizing a hands-on approach, the program integrates embedded labs and Industrial Internship modules to provide practical, real-world experience. This prepares graduates to thrive in the ever-evolving landscape of the IT industry. The 4-year BSc program unlocks a diverse array of career opportunities, ranging from embedded systems and Cloud Infrastructure to roles such as Cloud Engineer, Cloud Architect, Cloud System Administrator, Cloud Consultant, IoT Engineer, IoT Consultant, Smart City Consultant, Sensor and Actuator Professional, Data Analytics Specialist, and Software Developer. This multifaceted curriculum ensures that graduates are not only well-versed in emerging technologies but also possess the skills necessary to excel in a wide spectrum of roles within the IT and computing domains.
The BSc in Cloud Computing and Internet of Things aims to prepare students to:
Show ethical and professional attitude in developing and deploying cloud computing services & IoT systems with an understanding of the impact on societal, economic and adapt to global work environment through lifelong learning.
Credit Hours: 120
Full Time (FT): 4 years
Flexible Mode of Study (FM): 6 years
Local fee:
Total: OMR 15,000
Per credit: OMR 125
Year-wise ~ OMR 3,750 (FT)
International fee:
Total: OMR 18,000
Per credit: OMR 150
Year-wise ~ OMR 4,500 (FT)
Note: Students will be placed at an appropriate level of study based on the outcome of the NU Placement Test.
Students who have completed 12 years of schooling, from any academic stream that includes mathematics, are eligible to enrol in this program, given they meet the admission criteria. Graduates of a Cloud Computing & IoT program have a wide array of career opportunities available to them, given the increasing adoption of cloud technologies and the proliferation of interconnected devices. Some potential career paths include, Cloud Solutions Architect, Cloud Engineer, IoT Solutions Architect, IoT Developer, Cloud Security Specialist, Data Engineer,
DevOps Engineer, Product Manager for Cloud and IoT, and Cloud Consultant. Furthermore, graduates can opt for advanced studies in specialized areas of Cloud Computing and IoT, leading to Master’s and PhD degrees, before embarking on their professional journey.
NU has academic collaborations with USC, WVU in the USA and GCU in the UK. It is currently seeking collaboration with Nanyang Technological University (NTU), Singapore for its academic programs offered at the College of Advanced Technology, including BSc in Cloud Computing and Internet of Things.
1. University English I
2. Introduction to Computer Systems
3. Computer Programming
4. Computational Mathematics
5. Introduction to Circuit & Electronics
6. University English II
7. Introduction to Cloud Computing
8. Ethics in the Workplace
9. Introduction to Operating Systems
1. Oman History and Islamic Culture
2. Introduction to Internet of Things
3. Object Oriented Programming
4. Distributed Computing
5. IoT Protocols and Standard
6. Data Structures and Algorithms
7. Introduction to Cyber Security & Computer Forensics
8. Probability and Statistics
9. Project 1
1. Cloud Computing & Virtualization
2. Digital Electronics
3. Website Design & Development
4. Microcontroller for IoT
5. IoT Microprocessor
6. Wireless Sensor Networks
7. Entrepreneurship and Innovation
8. Industrial Internship
1. Information Storage & Management
2. IoT System Administration & Security
3. Elective 1
4. Capstone Project I
5. Data Centre Infrastructure & Services
6. Machine Learning and Data Science
7. Elective 2
8. Capstone Project II
For admission related queries, please contact [email protected].
For program related queries, please contact the Dean’s Office at 2264 1007 or send an email to [email protected].