Master of Science in Internet of Things (IoT)
Online
DURATION
12 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
USD 20,000
STUDY FORMAT
On-Campus
Introduction
The Master of Science in Internet of Things (IoT) enables graduates in computing and related areas to pursue a graduate degree in a technology-driven discipline. In this fast-growing area, the M.S. in IoT degree provides a sought-after set of technical skills to build on an ecosystem of hardware, software, and services that turn data into intelligence. With IoT devices as a part of everyday existence and given their rapidly increasing deployment by leading corporations, it will be an IoT world.
Graduates of the M.S. in IoT program will gain the knowledge and capabilities to position themselves in this rapidly growing and expanding field with increasing employment opportunities and higher earning potential. Career opportunities include employment as entrepreneurs and/or in the areas of the ever-evolving tech industry, including smart homes, smart grids, smart transportation, and smart medical devices. The program focuses on research and device/product development to fill the estimated over 300K available job opportunities with an average U.S. salary of over 100K.
IoT program graduates will be prepared to:
- Conduct research on the fundamental underlying concepts associated with IoT technology (Software, Hardware, Communications, and Security)
- Select, install, customize, and maintain state-of-the-art IoT devices and networks
- Perform data analytics, machine learning, deep learning, and big data
- Utilize and understand contemporary IoT applications and protocols commonplace to the industry
- Explain the legal and ethical implications of their work and an awareness of the impact of their actions and decision-making on individuals, society, and the environment
Admissions
Curriculum
The M.S. in IoT program requires 30 credit hours of coursework (10 courses).
Core Courses
- TCN 5271 Advanced IoT Communications and Networking (3). Techniques impacting ubiquitous, embedded sensor network-centric telecommunications, context-awareness, autonomy, data quality, uncertainty, privacy, trustworthiness, and wearable computing.
- EEE 5718 Advanced Security of Internet of Things and Cyber-Physical Systems (3). In this project-based class, the students will gain advanced hands-on training in the security of Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) areas.
- EEE 6525 Advanced Sensor Signal Processing (3). Various sensor systems, sensor signal detection, signal estimations, distributed sensor networks, sensor data fusion approaches, wireless sensor networks, radar networks, and optimal sensor allocation and sensor network design.
- TCN 6276 Antennas for Wireless and Body-Centric Communications (3). Advanced antenna theory, simulation, and design as applied to wireless communications, advanced state-of-the-art antenna systems, and body-centric wireless communications.
- EEL 6795 Power Aware Computing (3). The power/thermal challenges in computing system design; source of the power dissipation and power/thermal modeling; power/thermal aware design techniques at different design abstraction levels.
- EEL 6787 Network Security (3). Network Security Requirements, Number Theory, Steganography, Encryption Design Principles and Algorithms, Message Authentication and Digital Signature Principle and Designs, Network System Security Design.
- CNT 6148 Advanced IoT and Sensor Big Data Analytics (3). This course focuses on Big Data processing associated with IoT/sensor devices in extracting actionable intelligence. The fundamental algorithms and techniques that drive Big Data for IoT data are explored.
Elective Courses
- CNT 6144 Advanced IoT Analytics with Cloud Services
- CNT 6150 Advanced Sensor and IoT Data Analytics with Deep Learning
- CNT 6154 Advanced IoT Applied Machine Learning
Program Tuition Fee
Career Opportunities
Industries that IoT graduates work in:
- Health Care
- IoT in Smart Cities
- Home Security IoT
- Automotive
- IoT Smart Energy
- IoT in Supply Chain
- IoT Tracking
Program delivery
The MS in IoT program is taught during regular, 15-week semesters, and courses are offered in a hybrid model. The program can be completed in one year if the student follows the full-time schedule.
Hybrid classes have both in-person, classroom sessions on campus and out-of-classroom learning experiences. Hybrid classes will have a set schedule for the days and times the in-person classes meet. The breakdown is about a third to two-thirds of the in-person classroom sessions, and the rest of the out-of-classroom experiences may be completed through Canvas, other online resources, or experiential learning at off-campus sites.
English Language Requirements
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