24 monthsProgramme duration
13,315 USDTuition Fee/year
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
Blended
As the world is quickly turning digital, Internet of Things (IoT) is emerging as a key driver of the 4th industrial revolution and an indispensable tool in today’s economy, for both industrial and homes applications. This multidisciplinary program is designed to prepare professionals to master the quickly expanding field of IoT. It aims to ensure a comprehensive exposure and deep understanding of all elements of IoT, from embedded and real-time systems all the way to the cloud, in order for graduates to take full advantage of this rapidly growing job market.
This program provides a full coverage of all topics related to the Internet of Things (IoT), including smart systems (sensors and actuators, performance characteristics, feedback control, data acquisition, embedded systems, etc.), regular and industrial IoT (design and architecture, wireless personal area networks, low power wide area networks, machine-to-machine and machine to-cloud communication, process control systems, industrial control systems. cyber-physical systems, digital twins, etc.), and internet and cloud computing (data centers and cloud services, mobile and web applications, RESTful APIs, XaaS pyramid, etc.). The programs also covers embedded software engineering (embedded system architectures, programming and implementation guidelines, optimizing for memory and power, etc.), real-time systems (concurrency and timing, thread synchronization, inter-task communication, etc.). Moreover, the programs also covers IoT security (encryption, certificates, anonymity, blockchain and credential management systems, vulnerabilities, etc.), and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.).
This program provides a full coverage of all topics related to the Internet of Things (IoT), including smart systems (sensors and actuators, performance characteristics, feedback control, data acquisition, embedded systems, etc.), regular and industrial IoT (design and architecture, wireless personal area networks, low power wide area networks, machine-to-machine and machine to-cloud communication, process control systems, industrial control systems. cyber-physical systems, digital twins, etc.), and internet and cloud computing (data centers and cloud services, mobile and web applications, RESTful APIs, XaaS pyramid, etc.). The programs also covers embedded software engineering (embedded system architectures, programming and implementation guidelines, optimizing for memory and power, etc.), real-time systems (concurrency and timing, thread synchronization, inter-task communication, etc.). Moreover, the programs also covers IoT security (encryption, certificates, anonymity, blockchain and credential management systems, vulnerabilities, etc.), and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.).
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
Blended
As the world is quickly turning digital, Internet of Things (IoT) is emerging as a key driver of the 4th industrial revolution and an indispensable tool in today’s economy, for both industrial and homes applications. This multidisciplinary program is designed to prepare professionals to master the quickly expanding field of IoT. It aims to ensure a comprehensive exposure and deep understanding of all elements of IoT, from embedded and real-time systems all the way to the cloud, in order for graduates to take full advantage of this rapidly growing job market.
This program provides a full coverage of all topics related to the Internet of Things (IoT), including smart systems (sensors and actuators, performance characteristics, feedback control, data acquisition, embedded systems, etc.), regular and industrial IoT (design and architecture, wireless personal area networks, low power wide area networks, machine-to-machine and machine to-cloud communication, process control systems, industrial control systems. cyber-physical systems, digital twins, etc.), and internet and cloud computing (data centers and cloud services, mobile and web applications, RESTful APIs, XaaS pyramid, etc.). The programs also covers embedded software engineering (embedded system architectures, programming and implementation guidelines, optimizing for memory and power, etc.), real-time systems (concurrency and timing, thread synchronization, inter-task communication, etc.). Moreover, the programs also covers IoT security (encryption, certificates, anonymity, blockchain and credential management systems, vulnerabilities, etc.), and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.).
This program provides a full coverage of all topics related to the Internet of Things (IoT), including smart systems (sensors and actuators, performance characteristics, feedback control, data acquisition, embedded systems, etc.), regular and industrial IoT (design and architecture, wireless personal area networks, low power wide area networks, machine-to-machine and machine to-cloud communication, process control systems, industrial control systems. cyber-physical systems, digital twins, etc.), and internet and cloud computing (data centers and cloud services, mobile and web applications, RESTful APIs, XaaS pyramid, etc.). The programs also covers embedded software engineering (embedded system architectures, programming and implementation guidelines, optimizing for memory and power, etc.), real-time systems (concurrency and timing, thread synchronization, inter-task communication, etc.). Moreover, the programs also covers IoT security (encryption, certificates, anonymity, blockchain and credential management systems, vulnerabilities, etc.), and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.).
Admission Requirements
70+
6+
2.5+
105+
All candidates for the MX in Internet of Things & Embedded Systems must satisfy the overall requirements of KFUPM in addition to the following:
a) The general requirements for the professional Master's are as follows:
b) The technical backgrounds needed for Admission are:
Satisfying the minimum admission requirements does not guarantee admission into the program, as final admission is subject to an evaluation of the entire application, and the personal interview. Based on the assessment of the applicant file and the personal interview, the admission committee might offer conditional acceptance for students who need to take deficiency courses.
The MX in the Internet of Things & Embedded Systems consists of 9 core courses from different disciplines.
a) The general requirements for the professional Master's are as follows:
- A Grade-Point Average (GPA) of 2.5 or higher on a scale of 4.00
- Completion of TOFEL with a minimum score of 525 (PBT), 194 (CBT), or 70 (IBT). IELTS is also acceptable with a minimum of 6.0. (TOEFL is not required for Students who graduated from KFUPM)
- At least two letters of recommendation
b) The technical backgrounds needed for Admission are:
- B.SC degree in Computer Engineering, Computer Science, Software Engineering, Electrical Engineering, Control and Instrumentation System Engineering, or related fields.
- Basic knowledge of Programming.
- Basics of mathematics and Probability and Statistics.
Satisfying the minimum admission requirements does not guarantee admission into the program, as final admission is subject to an evaluation of the entire application, and the personal interview. Based on the assessment of the applicant file and the personal interview, the admission committee might offer conditional acceptance for students who need to take deficiency courses.
The MX in the Internet of Things & Embedded Systems consists of 9 core courses from different disciplines.
2 Years
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
13,315 USD
International
13,315 USD
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